Overview

Dataset statistics

Number of variables22
Number of observations55
Missing cells463
Missing cells (%)38.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory193.4 B

Variable types

Categorical4
Text4
Numeric9
Unsupported5

Dataset

Description공공체육시설 현황(국궁장)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=GVN621V5P05QKIBGJTUP4518887&infSeq=1

Alerts

집계년도 has constant value ""Constant
준공연도 has 2 (3.6%) missing valuesMissing
운영조직명 has 30 (54.5%) missing valuesMissing
경기장사대폭(m) has 16 (29.1%) missing valuesMissing
건설사업비(백만원) has 24 (43.6%) missing valuesMissing
경기장면적(㎡) has 12 (21.8%) missing valuesMissing
경기장거리 has 10 (18.2%) missing valuesMissing
경기장사대수 has 8 (14.5%) missing valuesMissing
연면적(㎡) has 12 (21.8%) missing valuesMissing
건축면적(㎡) has 12 (21.8%) missing valuesMissing
부지면적(㎡) has 13 (23.6%) missing valuesMissing
비고사항 has 49 (89.1%) missing valuesMissing
소재지우편번호 has 55 (100.0%) missing valuesMissing
소재지지번주소 has 55 (100.0%) missing valuesMissing
소재지도로명주소 has 55 (100.0%) missing valuesMissing
WGS84위도 has 55 (100.0%) missing valuesMissing
WGS84경도 has 55 (100.0%) missing valuesMissing
시설명 has unique valuesUnique
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
건설사업비(백만원) has 2 (3.6%) zerosZeros
연면적(㎡) has 1 (1.8%) zerosZeros
건축면적(㎡) has 1 (1.8%) zerosZeros

Reproduction

Analysis started2023-12-22 21:51:39.121844
Analysis finished2023-12-22 21:51:39.877183
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
2021
55 

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 55
100.0%

Length

2023-12-22T21:51:40.144187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:51:40.732656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 55
100.0%

시군명
Categorical

Distinct25
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
여주시
8 
화성시
6 
포천시
4 
파주시
4 
평택시
 
3
Other values (20)
30 

Length

Max length4
Median length3
Mean length3.0727273
Min length3

Unique

Unique11 ?
Unique (%)20.0%

Sample

1st row가평군
2nd row고양시
3rd row고양시
4th row광명시
5th row구리시

Common Values

ValueCountFrequency (%)
여주시 8
14.5%
화성시 6
 
10.9%
포천시 4
 
7.3%
파주시 4
 
7.3%
평택시 3
 
5.5%
시흥시 3
 
5.5%
고양시 2
 
3.6%
양평군 2
 
3.6%
용인시 2
 
3.6%
연천군 2
 
3.6%
Other values (15) 19
34.5%

Length

2023-12-22T21:51:41.507838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여주시 8
14.5%
화성시 6
 
10.9%
포천시 4
 
7.3%
파주시 4
 
7.3%
평택시 3
 
5.5%
시흥시 3
 
5.5%
안산시 2
 
3.6%
김포시 2
 
3.6%
부천시 2
 
3.6%
남양주시 2
 
3.6%
Other values (15) 19
34.5%

시설명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-22T21:51:42.584964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length4.4909091
Min length3

Characters and Unicode

Total characters247
Distinct characters90
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 (%)100.0%

Sample

1st row가평보납정
2nd row지영동국궁장
3rd row마산공원국궁장
4th row시립국궁장
5th row구리시궁도장(온달정)
ValueCountFrequency (%)
국궁장 2
 
3.3%
가평보납정 1
 
1.7%
교하정 1
 
1.7%
대룡정 1
 
1.7%
청심정 1
 
1.7%
학소정 1
 
1.7%
고대정 1
 
1.7%
백암수양정 1
 
1.7%
용무정 1
 
1.7%
용현정 1
 
1.7%
Other values (49) 49
81.7%
2023-12-22T21:51:44.592185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 43
 
17.4%
궁 13
 
5.3%
장 13
 
5.3%
국 10
 
4.0%
공 7
 
2.8%
시 6
 
2.4%
5
 
2.0%
호 5
 
2.0%
양 5
 
2.0%
원 5
 
2.0%
Other values (80) 135
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
97.2%
Space Separator 5
 
2.0%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 43
 
17.9%
궁 13
 
5.4%
장 13
 
5.4%
국 10
 
4.2%
공 7
 
2.9%
시 6
 
2.5%
호 5
 
2.1%
양 5
 
2.1%
원 5
 
2.1%
봉 4
 
1.7%
Other values (77) 129
53.8%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
97.2%
Common 7
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 43
 
17.9%
궁 13
 
5.4%
장 13
 
5.4%
국 10
 
4.2%
공 7
 
2.9%
시 6
 
2.5%
호 5
 
2.1%
양 5
 
2.1%
원 5
 
2.1%
봉 4
 
1.7%
Other values (77) 129
53.8%
Common
ValueCountFrequency (%)
5
71.4%
) 1
 
14.3%
( 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
97.2%
ASCII 7
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 43
 
17.9%
궁 13
 
5.4%
장 13
 
5.4%
국 10
 
4.2%
공 7
 
2.9%
시 6
 
2.5%
호 5
 
2.1%
양 5
 
2.1%
원 5
 
2.1%
봉 4
 
1.7%
Other values (77) 129
53.8%
ASCII
ValueCountFrequency (%)
5
71.4%
) 1
 
14.3%
( 1
 
14.3%

준공연도
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)39.6%
Missing2
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean2006.0189
Minimum1985
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-22T21:51:45.148849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1996.6
Q12002
median2006
Q32010
95-th percentile2016.4
Maximum2018
Range33
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.6635939
Coefficient of variation (CV)0.0033218002
Kurtosis1.510878
Mean2006.0189
Median Absolute Deviation (MAD)4
Skewness-0.68958794
Sum106319
Variance44.403483
MonotonicityNot monotonic
2023-12-22T21:51:45.818195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2002 7
12.7%
2009 6
 
10.9%
2001 5
 
9.1%
2010 4
 
7.3%
2013 3
 
5.5%
2006 3
 
5.5%
2005 3
 
5.5%
2004 3
 
5.5%
1999 2
 
3.6%
2015 2
 
3.6%
Other values (11) 15
27.3%
ValueCountFrequency (%)
1985 1
 
1.8%
1988 1
 
1.8%
1993 1
 
1.8%
1999 2
 
3.6%
2001 5
9.1%
2002 7
12.7%
2003 2
 
3.6%
2004 3
5.5%
2005 3
5.5%
2006 3
5.5%
ValueCountFrequency (%)
2018 2
 
3.6%
2017 1
 
1.8%
2016 1
 
1.8%
2015 2
 
3.6%
2013 3
5.5%
2012 1
 
1.8%
2011 1
 
1.8%
2010 4
7.3%
2009 6
10.9%
2008 2
 
3.6%

소유기관명
Categorical

Distinct25
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
여주시
8 
화성시
6 
포천시
4 
파주시
4 
평택시
 
3
Other values (20)
30 

Length

Max length4
Median length3
Mean length3.0727273
Min length3

Unique

Unique11 ?
Unique (%)20.0%

Sample

1st row가평군
2nd row고양시
3rd row고양시
4th row광명시
5th row구리시

Common Values

ValueCountFrequency (%)
여주시 8
14.5%
화성시 6
 
10.9%
포천시 4
 
7.3%
파주시 4
 
7.3%
평택시 3
 
5.5%
시흥시 3
 
5.5%
고양시 2
 
3.6%
양평군 2
 
3.6%
용인시 2
 
3.6%
연천군 2
 
3.6%
Other values (15) 19
34.5%

Length

2023-12-22T21:51:46.433598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여주시 8
14.5%
화성시 6
 
10.9%
포천시 4
 
7.3%
파주시 4
 
7.3%
평택시 3
 
5.5%
시흥시 3
 
5.5%
안산시 2
 
3.6%
김포시 2
 
3.6%
부천시 2
 
3.6%
남양주시 2
 
3.6%
Other values (15) 19
34.5%

관리주체명
Text

Distinct31
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-22T21:51:47.024572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.1818182
Min length3

Characters and Unicode

Total characters395
Distinct characters57
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)36.4%

Sample

1st row가평군궁도협회
2nd row고양도시관리공사
3rd row위탁(공원관리사업소)
4th row위탁(생활체육협의회)
5th row위탁(궁도협회)
ValueCountFrequency (%)
위탁(여주시궁도협회 8
 
14.5%
화성도시공사 4
 
7.3%
위탁(궁도협회 4
 
7.3%
파주시 4
 
7.3%
평택시 3
 
5.5%
부천도시공사 2
 
3.6%
화성시(팔탄면 2
 
3.6%
양평군 2
 
3.6%
연천군 2
 
3.6%
용인시 2
 
3.6%
Other values (21) 22
40.0%
2023-12-22T21:51:48.623231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 40
 
10.1%
도 29
 
7.3%
( 28
 
7.1%
) 28
 
7.1%
위 26
 
6.6%
탁 26
 
6.6%
회 20
 
5.1%
협 18
 
4.6%
궁 18
 
4.6%
주 15
 
3.8%
Other values (47) 147
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
85.8%
Open Punctuation 28
 
7.1%
Close Punctuation 28
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 40
 
11.8%
도 29
 
8.6%
위 26
 
7.7%
탁 26
 
7.7%
회 20
 
5.9%
협 18
 
5.3%
궁 18
 
5.3%
주 15
 
4.4%
공 13
 
3.8%
사 12
 
3.5%
Other values (45) 122
36.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
85.8%
Common 56
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 40
 
11.8%
도 29
 
8.6%
위 26
 
7.7%
탁 26
 
7.7%
회 20
 
5.9%
협 18
 
5.3%
궁 18
 
5.3%
주 15
 
4.4%
공 13
 
3.8%
사 12
 
3.5%
Other values (45) 122
36.0%
Common
ValueCountFrequency (%)
( 28
50.0%
) 28
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
85.8%
ASCII 56
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 40
 
11.8%
도 29
 
8.6%
위 26
 
7.7%
탁 26
 
7.7%
회 20
 
5.9%
협 18
 
5.3%
궁 18
 
5.3%
주 15
 
4.4%
공 13
 
3.8%
사 12
 
3.5%
Other values (45) 122
36.0%
ASCII
ValueCountFrequency (%)
( 28
50.0%
) 28
50.0%

운영조직명
Text

MISSING 

Distinct13
Distinct (%)52.0%
Missing30
Missing (%)54.5%
Memory size572.0 B
2023-12-22T21:51:49.455929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length9.2
Min length4

Characters and Unicode

Total characters230
Distinct characters53
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

Unique7 ?
Unique (%)28.0%

Sample

1st row수원시궁도협회
2nd row궁도협회
3rd row부천시시설관리공단
4th row성남시체육회(729-5622)
5th row수원시궁도협회
ValueCountFrequency (%)
궁도협회 5
19.2%
양주시궁도협회 5
19.2%
수원시궁도협회 2
 
7.7%
개군면사무소(770-2612 2
 
7.7%
용인시체육회 2
 
7.7%
대군정(535-3993 2
 
7.7%
2
 
7.7%
부천시시설관리공단 1
 
3.8%
성남시체육회(729-5622 1
 
3.8%
안양시 1
 
3.8%
Other values (3) 3
11.5%
2023-12-22T21:51:50.824419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 21
 
9.1%
회 16
 
7.0%
시 14
 
6.1%
궁 13
 
5.7%
협 13
 
5.7%
도 13
 
5.7%
- 11
 
4.8%
6 8
 
3.5%
2 8
 
3.5%
5 7
 
3.0%
Other values (43) 106
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136
59.1%
Decimal Number 49
 
21.3%
Other Punctuation 21
 
9.1%
Dash Punctuation 11
 
4.8%
Close Punctuation 6
 
2.6%
Open Punctuation 6
 
2.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 16
 
11.8%
시 14
 
10.3%
궁 13
 
9.6%
협 13
 
9.6%
도 13
 
9.6%
양 6
 
4.4%
주 5
 
3.7%
체 4
 
2.9%
육 4
 
2.9%
군 4
 
2.9%
Other values (29) 44
32.4%
Decimal Number
ValueCountFrequency (%)
6 8
16.3%
2 8
16.3%
5 7
14.3%
9 6
12.2%
7 6
12.2%
3 6
12.2%
0 3
 
6.1%
4 3
 
6.1%
1 2
 
4.1%
Other Punctuation
ValueCountFrequency (%)
* 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136
59.1%
Common 94
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 16
 
11.8%
시 14
 
10.3%
궁 13
 
9.6%
협 13
 
9.6%
도 13
 
9.6%
양 6
 
4.4%
주 5
 
3.7%
체 4
 
2.9%
육 4
 
2.9%
군 4
 
2.9%
Other values (29) 44
32.4%
Common
ValueCountFrequency (%)
* 21
22.3%
- 11
11.7%
6 8
 
8.5%
2 8
 
8.5%
5 7
 
7.4%
9 6
 
6.4%
) 6
 
6.4%
( 6
 
6.4%
7 6
 
6.4%
3 6
 
6.4%
Other values (4) 9
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136
59.1%
ASCII 94
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 21
22.3%
- 11
11.7%
6 8
 
8.5%
2 8
 
8.5%
5 7
 
7.4%
9 6
 
6.4%
) 6
 
6.4%
( 6
 
6.4%
7 6
 
6.4%
3 6
 
6.4%
Other values (4) 9
9.6%
Hangul
ValueCountFrequency (%)
회 16
 
11.8%
시 14
 
10.3%
궁 13
 
9.6%
협 13
 
9.6%
도 13
 
9.6%
양 6
 
4.4%
주 5
 
3.7%
체 4
 
2.9%
육 4
 
2.9%
군 4
 
2.9%
Other values (29) 44
32.4%

좌석형태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
야외
35 
<NA>
19 
0
 
1

Length

Max length4
Median length2
Mean length2.6727273
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row<NA>
2nd row야외
3rd row야외
4th row야외
5th row야외

Common Values

ValueCountFrequency (%)
야외 35
63.6%
<NA> 19
34.5%
0 1
 
1.8%

Length

2023-12-22T21:51:51.513660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:51:52.209785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
야외 35
63.6%
na 19
34.5%
0 1
 
1.8%

경기장사대폭(m)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)46.2%
Missing16
Missing (%)29.1%
Infinite0
Infinite (%)0.0%
Mean23.974359
Minimum5
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-22T21:51:53.050080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11.5
Q120
median23
Q329
95-th percentile33.3
Maximum60
Range55
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.3259321
Coefficient of variation (CV)0.3889961
Kurtosis5.493241
Mean23.974359
Median Absolute Deviation (MAD)3
Skewness1.4394419
Sum935
Variance86.973009
MonotonicityNot monotonic
2023-12-22T21:51:54.611702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20 11
20.0%
30 6
 
10.9%
25 2
 
3.6%
26 2
 
3.6%
29 2
 
3.6%
27 2
 
3.6%
24 2
 
3.6%
15 2
 
3.6%
22 1
 
1.8%
12 1
 
1.8%
Other values (8) 8
14.5%
(Missing) 16
29.1%
ValueCountFrequency (%)
5 1
 
1.8%
7 1
 
1.8%
12 1
 
1.8%
15 2
 
3.6%
16 1
 
1.8%
20 11
20.0%
21 1
 
1.8%
22 1
 
1.8%
23 1
 
1.8%
24 2
 
3.6%
ValueCountFrequency (%)
60 1
 
1.8%
45 1
 
1.8%
32 1
 
1.8%
30 6
10.9%
29 2
 
3.6%
27 2
 
3.6%
26 2
 
3.6%
25 2
 
3.6%
24 2
 
3.6%
23 1
 
1.8%

건설사업비(백만원)
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)93.5%
Missing24
Missing (%)43.6%
Infinite0
Infinite (%)0.0%
Mean616.74194
Minimum0
Maximum3678
Zeros2
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-22T21:51:55.962348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.5
Q184
median335
Q3805
95-th percentile1775
Maximum3678
Range3678
Interquartile range (IQR)721

Descriptive statistics

Standard deviation777.66501
Coefficient of variation (CV)1.2609245
Kurtosis7.1563934
Mean616.74194
Median Absolute Deviation (MAD)295
Skewness2.3577595
Sum19119
Variance604762.86
MonotonicityNot monotonic
2023-12-22T21:51:56.891247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
40 2
 
3.6%
0 2
 
3.6%
1650 1
 
1.8%
200 1
 
1.8%
144 1
 
1.8%
59 1
 
1.8%
416 1
 
1.8%
68 1
 
1.8%
716 1
 
1.8%
887 1
 
1.8%
Other values (19) 19
34.5%
(Missing) 24
43.6%
ValueCountFrequency (%)
0 2
3.6%
11 1
1.8%
40 2
3.6%
49 1
1.8%
59 1
1.8%
68 1
1.8%
100 1
1.8%
120 1
1.8%
144 1
1.8%
200 1
1.8%
ValueCountFrequency (%)
3678 1
1.8%
1900 1
1.8%
1650 1
1.8%
1625 1
1.8%
1205 1
1.8%
1144 1
1.8%
959 1
1.8%
887 1
1.8%
723 1
1.8%
716 1
1.8%

경기장면적(㎡)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)76.7%
Missing12
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean4535.6279
Minimum467
Maximum19554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-22T21:51:57.771820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum467
5-th percentile1513.5
Q12900
median3770
Q35342.5
95-th percentile8761
Maximum19554
Range19087
Interquartile range (IQR)2442.5

Descriptive statistics

Standard deviation3098.7447
Coefficient of variation (CV)0.68320083
Kurtosis12.892757
Mean4535.6279
Median Absolute Deviation (MAD)870
Skewness3.0396165
Sum195032
Variance9602218.9
MonotonicityNot monotonic
2023-12-22T21:51:58.597679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2900 7
 
12.7%
4350 3
 
5.5%
3915 2
 
3.6%
6750 2
 
3.6%
6144 1
 
1.8%
5849 1
 
1.8%
4650 1
 
1.8%
4320 1
 
1.8%
8982 1
 
1.8%
2175 1
 
1.8%
Other values (23) 23
41.8%
(Missing) 12
21.8%
ValueCountFrequency (%)
467 1
 
1.8%
1251 1
 
1.8%
1440 1
 
1.8%
2175 1
 
1.8%
2250 1
 
1.8%
2433 1
 
1.8%
2600 1
 
1.8%
2900 7
12.7%
3045 1
 
1.8%
3203 1
 
1.8%
ValueCountFrequency (%)
19554 1
1.8%
11303 1
1.8%
8982 1
1.8%
6772 1
1.8%
6750 2
3.6%
6699 1
1.8%
6144 1
1.8%
5849 1
1.8%
5793 1
1.8%
5674 1
1.8%

경기장거리
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)13.3%
Missing10
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean145.31111
Minimum120
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-22T21:51:59.204168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120
5-th percentile145
Q1145
median145
Q3145
95-th percentile150
Maximum180
Range60
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.0091571
Coefficient of variation (CV)0.04823552
Kurtosis17.452446
Mean145.31111
Median Absolute Deviation (MAD)0
Skewness1.5399394
Sum6539
Variance49.128283
MonotonicityNot monotonic
2023-12-22T21:51:59.691812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
145 38
69.1%
150 3
 
5.5%
120 1
 
1.8%
130 1
 
1.8%
180 1
 
1.8%
149 1
 
1.8%
(Missing) 10
 
18.2%
ValueCountFrequency (%)
120 1
 
1.8%
130 1
 
1.8%
145 38
69.1%
149 1
 
1.8%
150 3
 
5.5%
180 1
 
1.8%
ValueCountFrequency (%)
180 1
 
1.8%
150 3
 
5.5%
149 1
 
1.8%
145 38
69.1%
130 1
 
1.8%
120 1
 
1.8%

경기장사대수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)29.8%
Missing8
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean12.680851
Minimum2
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-22T21:52:00.096838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median10
Q321
95-th percentile28
Maximum32
Range30
Interquartile range (IQR)17

Descriptive statistics

Standard deviation8.8957889
Coefficient of variation (CV)0.70151355
Kurtosis-0.87706545
Mean12.680851
Median Absolute Deviation (MAD)7
Skewness0.55842835
Sum596
Variance79.13506
MonotonicityNot monotonic
2023-12-22T21:52:00.559655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
21 10
18.2%
3 8
14.5%
8 8
14.5%
10 4
 
7.3%
28 3
 
5.5%
4 3
 
5.5%
15 2
 
3.6%
14 2
 
3.6%
2 2
 
3.6%
32 1
 
1.8%
Other values (4) 4
 
7.3%
(Missing) 8
14.5%
ValueCountFrequency (%)
2 2
 
3.6%
3 8
14.5%
4 3
 
5.5%
5 1
 
1.8%
8 8
14.5%
10 4
7.3%
12 1
 
1.8%
14 2
 
3.6%
15 2
 
3.6%
20 1
 
1.8%
ValueCountFrequency (%)
32 1
 
1.8%
31 1
 
1.8%
28 3
 
5.5%
21 10
18.2%
20 1
 
1.8%
15 2
 
3.6%
14 2
 
3.6%
12 1
 
1.8%
10 4
 
7.3%
8 8
14.5%

연면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)95.3%
Missing12
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean312.97256
Minimum0
Maximum1177
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-22T21:52:00.965665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80
Q1165.91
median255
Q3419
95-th percentile729.6
Maximum1177
Range1177
Interquartile range (IQR)253.09

Descriptive statistics

Standard deviation222.28128
Coefficient of variation (CV)0.7102261
Kurtosis4.4363618
Mean312.97256
Median Absolute Deviation (MAD)126
Skewness1.70859
Sum13457.82
Variance49408.968
MonotonicityNot monotonic
2023-12-22T21:52:01.515824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
80.0 3
 
5.5%
204.0 1
 
1.8%
345.0 1
 
1.8%
163.82 1
 
1.8%
257.0 1
 
1.8%
173.0 1
 
1.8%
486.0 1
 
1.8%
336.0 1
 
1.8%
363.0 1
 
1.8%
0.0 1
 
1.8%
Other values (31) 31
56.4%
(Missing) 12
 
21.8%
ValueCountFrequency (%)
0.0 1
 
1.8%
80.0 3
5.5%
99.0 1
 
1.8%
100.0 1
 
1.8%
120.0 1
 
1.8%
140.0 1
 
1.8%
142.0 1
 
1.8%
143.0 1
 
1.8%
163.82 1
 
1.8%
168.0 1
 
1.8%
ValueCountFrequency (%)
1177.0 1
1.8%
780.0 1
1.8%
741.0 1
1.8%
627.0 1
1.8%
489.0 1
1.8%
486.0 1
1.8%
467.0 1
1.8%
450.0 1
1.8%
446.0 1
1.8%
441.0 1
1.8%

건축면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)93.0%
Missing12
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean294.16279
Minimum0
Maximum922
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-22T21:52:02.115430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80
Q1135.5
median256
Q3411.5
95-th percentile556.5
Maximum922
Range922
Interquartile range (IQR)276

Descriptive statistics

Standard deviation190.89887
Coefficient of variation (CV)0.64895654
Kurtosis1.3012297
Mean294.16279
Median Absolute Deviation (MAD)144
Skewness0.94426412
Sum12649
Variance36442.378
MonotonicityNot monotonic
2023-12-22T21:52:02.623132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
80 3
 
5.5%
131 2
 
3.6%
100 1
 
1.8%
204 1
 
1.8%
181 1
 
1.8%
261 1
 
1.8%
99 1
 
1.8%
559 1
 
1.8%
336 1
 
1.8%
363 1
 
1.8%
Other values (30) 30
54.5%
(Missing) 12
 
21.8%
ValueCountFrequency (%)
0 1
 
1.8%
80 3
5.5%
98 1
 
1.8%
99 1
 
1.8%
100 1
 
1.8%
108 1
 
1.8%
120 1
 
1.8%
131 2
3.6%
140 1
 
1.8%
142 1
 
1.8%
ValueCountFrequency (%)
922 1
1.8%
694 1
1.8%
559 1
1.8%
534 1
1.8%
489 1
1.8%
467 1
1.8%
454 1
1.8%
453 1
1.8%
446 1
1.8%
434 1
1.8%

부지면적(㎡)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)95.2%
Missing13
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean14380.214
Minimum495
Maximum145117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-22T21:52:03.205884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum495
5-th percentile2441.35
Q13678.75
median7301
Q315166.25
95-th percentile46906.55
Maximum145117
Range144622
Interquartile range (IQR)11487.5

Descriptive statistics

Standard deviation23505.442
Coefficient of variation (CV)1.6345683
Kurtosis24.100628
Mean14380.214
Median Absolute Deviation (MAD)4231
Skewness4.5427389
Sum603969
Variance5.5250582 × 108
MonotonicityNot monotonic
2023-12-22T21:52:03.816622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2900 3
 
5.5%
6699 1
 
1.8%
5849 1
 
1.8%
9741 1
 
1.8%
7243 1
 
1.8%
11905 1
 
1.8%
7359 1
 
1.8%
6144 1
 
1.8%
8982 1
 
1.8%
5793 1
 
1.8%
Other values (30) 30
54.5%
(Missing) 13
23.6%
ValueCountFrequency (%)
495 1
 
1.8%
1251 1
 
1.8%
2433 1
 
1.8%
2600 1
 
1.8%
2900 3
5.5%
2938 1
 
1.8%
3203 1
 
1.8%
3479 1
 
1.8%
3490 1
 
1.8%
4245 1
 
1.8%
ValueCountFrequency (%)
145117 1
1.8%
49800 1
1.8%
47375 1
1.8%
38006 1
1.8%
21737 1
1.8%
21673 1
1.8%
20000 1
1.8%
19554 1
1.8%
19095 1
1.8%
16300 1
1.8%

비고사항
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing49
Missing (%)89.1%
Memory size572.0 B
2023-12-22T21:52:04.506061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7.5
Mean length6.5
Min length4

Characters and Unicode

Total characters39
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row가남체육공원내
2nd row대신체육공원내
3rd row금사체육공원 내
4th row강천체육공원내
5th row동안배수지내
ValueCountFrequency (%)
내 2
25.0%
가남체육공원내 1
12.5%
대신체육공원내 1
12.5%
금사체육공원 1
12.5%
강천체육공원내 1
12.5%
동안배수지내 1
12.5%
공원 1
12.5%
2023-12-22T21:52:06.017628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
내 6
15.4%
공 5
12.8%
원 5
12.8%
체 4
10.3%
육 4
10.3%
2
 
5.1%
가 1
 
2.6%
천 1
 
2.6%
수 1
 
2.6%
배 1
 
2.6%
Other values (9) 9
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37
94.9%
Space Separator 2
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
내 6
16.2%
공 5
13.5%
원 5
13.5%
체 4
10.8%
육 4
10.8%
가 1
 
2.7%
천 1
 
2.7%
수 1
 
2.7%
배 1
 
2.7%
안 1
 
2.7%
Other values (8) 8
21.6%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37
94.9%
Common 2
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
내 6
16.2%
공 5
13.5%
원 5
13.5%
체 4
10.8%
육 4
10.8%
가 1
 
2.7%
천 1
 
2.7%
수 1
 
2.7%
배 1
 
2.7%
안 1
 
2.7%
Other values (8) 8
21.6%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37
94.9%
ASCII 2
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
내 6
16.2%
공 5
13.5%
원 5
13.5%
체 4
10.8%
육 4
10.8%
가 1
 
2.7%
천 1
 
2.7%
수 1
 
2.7%
배 1
 
2.7%
안 1
 
2.7%
Other values (8) 8
21.6%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

WGS84위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

WGS84경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

Sample

집계년도시군명시설명준공연도소유기관명관리주체명운영조직명좌석형태명경기장사대폭(m)건설사업비(백만원)경기장면적(㎡)경기장거리경기장사대수연면적(㎡)건축면적(㎡)부지면적(㎡)비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
02021가평군가평보납정<NA>가평군가평군궁도협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12021고양시지영동국궁장2010고양시고양도시관리공사<NA>야외32<NA>501114532780.053447375<NA><NA><NA><NA><NA><NA>
22021고양시마산공원국궁장1999고양시위탁(공원관리사업소)<NA>야외30<NA>67721451080.0806772<NA><NA><NA><NA><NA><NA>
32021광명시시립국궁장2008광명시위탁(생활체육협의회)<NA>야외20450290014510120.01202900<NA><NA><NA><NA><NA><NA>
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62021김포시금능정2007김포시김포시<NA>야외2411348014521418.0434145117<NA><NA><NA><NA><NA><NA>
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452021포천시용호정2004포천시위탁(용호정)<NA><NA>16<NA><NA>14514177.098495<NA><NA><NA><NA><NA><NA>
462021포천시동부정2016포천시위탁(동부정)<NA><NA><NA><NA><NA><NA>21<NA><NA>16300<NA><NA><NA><NA><NA><NA>
472021포천시대군정2002포천시위탁(대군정)대군정(535-3993)야외30<NA>435014521168.01684900<NA><NA><NA><NA><NA><NA>
482021포천시포천정2003포천시위탁(포천정)<NA><NA><NA><NA><NA><NA>21100.01002938<NA><NA><NA><NA><NA><NA>
492021화성시화산정2009화성시화성시(팔탄면)<NA>야외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
502021화성시화성호 가축분뇨공공처리시설2012화성시화성도시공사<NA>야외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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522021화성시팔탄 국궁장2006화성시화성시(팔탄면)<NA>야외54024331452<NA><NA>2433<NA><NA><NA><NA><NA><NA>
532021화성시쌍봉정2018화성시화성도시공사<NA>야외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
542021화성시비봉체육공원 비봉정2008화성시화성도시공사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>