Overview

Dataset statistics

Number of variables21
Number of observations399
Missing cells5487
Missing cells (%)65.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.6 KiB
Average record size in memory186.3 B

Variable types

Categorical2
Text2
Numeric8
Unsupported9

Dataset

Description공공체육시설 현황(기타체육시설)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=B3Q88BMYQTT7L847NPLJ4592897&infSeq=1

Alerts

집계년도 has constant value ""Constant
관리주체명 has 14 (3.5%) missing valuesMissing
준공연도 has 77 (19.3%) missing valuesMissing
부지면적(㎡) has 58 (14.5%) missing valuesMissing
건축면적(㎡) has 303 (75.9%) missing valuesMissing
연면적(㎡) has 335 (84.0%) missing valuesMissing
트랙폭(m) has 293 (73.4%) missing valuesMissing
트랙길이(m) has 293 (73.4%) missing valuesMissing
트랙면적(㎡) has 208 (52.1%) missing valuesMissing
관람석좌석수 has 399 (100.0%) missing valuesMissing
수용인원수(명) has 399 (100.0%) missing valuesMissing
좌석형태명 has 399 (100.0%) missing valuesMissing
건설사업비(백만원) has 315 (78.9%) missing valuesMissing
비고사항 has 399 (100.0%) missing valuesMissing
소재지우편번호 has 399 (100.0%) missing valuesMissing
소재지지번주소 has 399 (100.0%) missing valuesMissing
소재지도로명주소 has 399 (100.0%) missing valuesMissing
WGS84위도 has 399 (100.0%) missing valuesMissing
WGS84경도 has 399 (100.0%) missing valuesMissing
관람석좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수용인원수(명) is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석형태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2023-12-22 21:24:11.691864
Analysis finished2023-12-22 21:24:12.861286
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2021
399 

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 399
100.0%

Length

2023-12-22T21:24:13.254074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:24:13.737496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 399
100.0%

시군명
Categorical

Distinct31
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
시흥시
62 
남양주시
41 
양주시
34 
성남시
33 
이천시
27 
Other values (26)
202 

Length

Max length4
Median length3
Mean length3.1578947
Min length3

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
시흥시 62
15.5%
남양주시 41
 
10.3%
양주시 34
 
8.5%
성남시 33
 
8.3%
이천시 27
 
6.8%
안성시 22
 
5.5%
양평군 19
 
4.8%
포천시 18
 
4.5%
의정부시 18
 
4.5%
고양시 15
 
3.8%
Other values (21) 110
27.6%

Length

2023-12-22T21:24:14.307259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시흥시 62
15.5%
남양주시 41
 
10.3%
양주시 34
 
8.5%
성남시 33
 
8.3%
이천시 27
 
6.8%
안성시 22
 
5.5%
양평군 19
 
4.8%
포천시 18
 
4.5%
의정부시 18
 
4.5%
고양시 15
 
3.8%
Other values (21) 110
27.6%

시설명
Text

Distinct393
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-22T21:24:15.134128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length11.320802
Min length3

Characters and Unicode

Total characters4517
Distinct characters319
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique388 ?
Unique (%)97.2%

Sample

1st row가평파크골프장
2nd row가평썰매장
3rd row팀업캠퍼스 풋살장
4th row팀업캠퍼스 야외 배드민턴장
5th row충장풋살장
ValueCountFrequency (%)
족구장 93
 
10.9%
풋살장 54
 
6.4%
농구장 37
 
4.4%
체육공원 25
 
2.9%
배드민턴장 24
 
2.8%
체육시설 18
 
2.1%
풋살구장 15
 
1.8%
교량하부 10
 
1.2%
내 10
 
1.2%
그라운드골프장 10
 
1.2%
Other values (399) 554
65.2%
2023-12-22T21:24:16.731882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
452
 
10.0%
장 426
 
9.4%
구 205
 
4.5%
공 148
 
3.3%
체 141
 
3.1%
원 140
 
3.1%
육 140
 
3.1%
풋 112
 
2.5%
살 112
 
2.5%
족 110
 
2.4%
Other values (309) 2531
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3892
86.2%
Space Separator 452
 
10.0%
Decimal Number 54
 
1.2%
Close Punctuation 35
 
0.8%
Open Punctuation 35
 
0.8%
Uppercase Letter 19
 
0.4%
Other Punctuation 15
 
0.3%
Lowercase Letter 10
 
0.2%
Math Symbol 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 426
 
10.9%
구 205
 
5.3%
공 148
 
3.8%
체 141
 
3.6%
원 140
 
3.6%
육 140
 
3.6%
풋 112
 
2.9%
살 112
 
2.9%
족 110
 
2.8%
시 98
 
2.5%
Other values (279) 2260
58.1%
Decimal Number
ValueCountFrequency (%)
1 15
27.8%
2 11
20.4%
3 10
18.5%
4 8
14.8%
6 6
 
11.1%
0 1
 
1.9%
7 1
 
1.9%
8 1
 
1.9%
5 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
P 5
26.3%
B 2
 
10.5%
A 2
 
10.5%
M 2
 
10.5%
T 2
 
10.5%
V 2
 
10.5%
X 2
 
10.5%
C 1
 
5.3%
G 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
m 3
30.0%
t 3
30.0%
v 3
30.0%
x 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 13
86.7%
. 1
 
6.7%
/ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
452
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3892
86.2%
Common 596
 
13.2%
Latin 29
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 426
 
10.9%
구 205
 
5.3%
공 148
 
3.8%
체 141
 
3.6%
원 140
 
3.6%
육 140
 
3.6%
풋 112
 
2.9%
살 112
 
2.9%
족 110
 
2.8%
시 98
 
2.5%
Other values (279) 2260
58.1%
Common
ValueCountFrequency (%)
452
75.8%
) 35
 
5.9%
( 35
 
5.9%
1 15
 
2.5%
, 13
 
2.2%
2 11
 
1.8%
3 10
 
1.7%
4 8
 
1.3%
6 6
 
1.0%
~ 4
 
0.7%
Other values (7) 7
 
1.2%
Latin
ValueCountFrequency (%)
P 5
17.2%
m 3
10.3%
t 3
10.3%
v 3
10.3%
B 2
 
6.9%
A 2
 
6.9%
M 2
 
6.9%
T 2
 
6.9%
V 2
 
6.9%
X 2
 
6.9%
Other values (3) 3
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3892
86.2%
ASCII 625
 
13.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
452
72.3%
) 35
 
5.6%
( 35
 
5.6%
1 15
 
2.4%
, 13
 
2.1%
2 11
 
1.8%
3 10
 
1.6%
4 8
 
1.3%
6 6
 
1.0%
P 5
 
0.8%
Other values (20) 35
 
5.6%
Hangul
ValueCountFrequency (%)
장 426
 
10.9%
구 205
 
5.3%
공 148
 
3.8%
체 141
 
3.6%
원 140
 
3.6%
육 140
 
3.6%
풋 112
 
2.9%
살 112
 
2.9%
족 110
 
2.8%
시 98
 
2.5%
Other values (279) 2260
58.1%

관리주체명
Text

MISSING 

Distinct73
Distinct (%)19.0%
Missing14
Missing (%)3.5%
Memory size3.2 KiB
2023-12-22T21:24:17.726013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length4.9090909
Min length3

Characters and Unicode

Total characters1890
Distinct characters103
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)7.3%

Sample

1st row시설관리공단
2nd row시설관리공단
3rd row민간위탁(SCG스포츠아카데미)
4th row민간위탁(SCG스포츠아카데미)
5th row공원관리과
ValueCountFrequency (%)
남양주시 41
 
10.3%
시흥시 39
 
9.8%
양주시 25
 
6.3%
이천시 24
 
6.0%
안성시 21
 
5.3%
성남도시개발공사 17
 
4.3%
포천시 15
 
3.8%
의정부시 15
 
3.8%
시설관리공단 11
 
2.8%
광주시 10
 
2.5%
Other values (66) 180
45.2%
2023-12-22T21:24:19.206860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 375
19.8%
양 97
 
5.1%
주 93
 
4.9%
공 91
 
4.8%
도 72
 
3.8%
남 71
 
3.8%
사 71
 
3.8%
천 51
 
2.7%
흥 50
 
2.6%
( 48
 
2.5%
Other values (93) 871
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1774
93.9%
Open Punctuation 48
 
2.5%
Close Punctuation 48
 
2.5%
Space Separator 13
 
0.7%
Uppercase Letter 6
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 375
21.1%
양 97
 
5.5%
주 93
 
5.2%
공 91
 
5.1%
도 72
 
4.1%
남 71
 
4.0%
사 71
 
4.0%
천 51
 
2.9%
흥 50
 
2.8%
성 48
 
2.7%
Other values (86) 755
42.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
C 2
33.3%
G 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1774
93.9%
Common 110
 
5.8%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 375
21.1%
양 97
 
5.5%
주 93
 
5.2%
공 91
 
5.1%
도 72
 
4.1%
남 71
 
4.0%
사 71
 
4.0%
천 51
 
2.9%
흥 50
 
2.8%
성 48
 
2.7%
Other values (86) 755
42.6%
Common
ValueCountFrequency (%)
( 48
43.6%
) 48
43.6%
13
 
11.8%
? 1
 
0.9%
Latin
ValueCountFrequency (%)
S 2
33.3%
C 2
33.3%
G 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1774
93.9%
ASCII 116
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 375
21.1%
양 97
 
5.5%
주 93
 
5.2%
공 91
 
5.1%
도 72
 
4.1%
남 71
 
4.0%
사 71
 
4.0%
천 51
 
2.9%
흥 50
 
2.8%
성 48
 
2.7%
Other values (86) 755
42.6%
ASCII
ValueCountFrequency (%)
( 48
41.4%
) 48
41.4%
13
 
11.2%
S 2
 
1.7%
C 2
 
1.7%
G 2
 
1.7%
? 1
 
0.9%

준공연도
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)8.7%
Missing77
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean2012.3137
Minimum1990
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-22T21:24:19.652208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1990
5-th percentile2001.05
Q12009
median2014
Q32017
95-th percentile2020
Maximum2021
Range31
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.8606135
Coefficient of variation (CV)0.0029123758
Kurtosis0.75314958
Mean2012.3137
Median Absolute Deviation (MAD)4
Skewness-0.93194441
Sum647965
Variance34.346791
MonotonicityNot monotonic
2023-12-22T21:24:20.282660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2017 37
 
9.3%
2014 26
 
6.5%
2019 24
 
6.0%
2018 20
 
5.0%
2010 20
 
5.0%
2009 20
 
5.0%
2015 20
 
5.0%
2016 17
 
4.3%
2011 16
 
4.0%
2013 16
 
4.0%
Other values (18) 106
26.6%
(Missing) 77
19.3%
ValueCountFrequency (%)
1990 1
 
0.3%
1993 1
 
0.3%
1995 1
 
0.3%
1996 3
0.8%
1997 4
1.0%
1998 2
0.5%
2000 3
0.8%
2001 2
0.5%
2002 2
0.5%
2003 3
0.8%
ValueCountFrequency (%)
2021 4
 
1.0%
2020 14
 
3.5%
2019 24
6.0%
2018 20
5.0%
2017 37
9.3%
2016 17
4.3%
2015 20
5.0%
2014 26
6.5%
2013 16
4.0%
2012 14
 
3.5%

부지면적(㎡)
Real number (ℝ)

MISSING 

Distinct273
Distinct (%)80.1%
Missing58
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean12953.393
Minimum97.5
Maximum305350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-22T21:24:21.362125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.5
5-th percentile325
Q1992
median2934
Q39967
95-th percentile41822
Maximum305350
Range305252.5
Interquartile range (IQR)8975

Descriptive statistics

Standard deviation31633.688
Coefficient of variation (CV)2.442116
Kurtosis38.537713
Mean12953.393
Median Absolute Deviation (MAD)2384
Skewness5.6166822
Sum4417107
Variance1.0006902 × 109
MonotonicityNot monotonic
2023-12-22T21:24:22.722728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000.0 6
 
1.5%
39800.0 4
 
1.0%
1125.0 4
 
1.0%
1500.0 3
 
0.8%
3000.0 3
 
0.8%
22730.0 3
 
0.8%
39270.0 3
 
0.8%
6000.0 3
 
0.8%
9930.0 3
 
0.8%
8792.0 3
 
0.8%
Other values (263) 306
76.7%
(Missing) 58
 
14.5%
ValueCountFrequency (%)
97.5 1
0.3%
100.0 1
0.3%
105.0 1
0.3%
150.0 1
0.3%
151.0 1
0.3%
154.0 1
0.3%
163.0 1
0.3%
177.0 1
0.3%
189.0 1
0.3%
199.0 1
0.3%
ValueCountFrequency (%)
305350.0 1
0.3%
244978.0 1
0.3%
206557.0 2
0.5%
142201.0 2
0.5%
117141.0 1
0.3%
103143.0 2
0.5%
85157.0 1
0.3%
76589.0 1
0.3%
58954.0 2
0.5%
58190.0 1
0.3%

건축면적(㎡)
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)93.8%
Missing303
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean1630.6726
Minimum100
Maximum32836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-22T21:24:23.703823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile134.5
Q1440.75
median649.5
Q31340.5
95-th percentile3958.5
Maximum32836
Range32736
Interquartile range (IQR)899.75

Descriptive statistics

Standard deviation3952.5912
Coefficient of variation (CV)2.4239024
Kurtosis44.281674
Mean1630.6726
Median Absolute Deviation (MAD)323.5
Skewness6.2415207
Sum156544.57
Variance15622978
MonotonicityNot monotonic
2023-12-22T21:24:24.858563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
326.0 2
 
0.5%
500.0 2
 
0.5%
2031.0 2
 
0.5%
750.0 2
 
0.5%
114.0 2
 
0.5%
450.0 2
 
0.5%
626.0 1
 
0.3%
1108.0 1
 
0.3%
1516.0 1
 
0.3%
861.0 1
 
0.3%
Other values (80) 80
 
20.1%
(Missing) 303
75.9%
ValueCountFrequency (%)
100.0 1
0.3%
114.0 2
0.5%
121.0 1
0.3%
130.0 1
0.3%
136.0 1
0.3%
160.0 1
0.3%
177.0 1
0.3%
189.0 1
0.3%
198.0 1
0.3%
228.22 1
0.3%
ValueCountFrequency (%)
32836.0 1
0.3%
18203.0 1
0.3%
10087.0 1
0.3%
8042.0 1
0.3%
6834.0 1
0.3%
3000.0 1
0.3%
2916.0 1
0.3%
2901.3 1
0.3%
2901.0 1
0.3%
2669.93 1
0.3%

연면적(㎡)
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing335
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean3005.6728
Minimum84.91
Maximum45632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-22T21:24:25.874473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.91
5-th percentile129.4
Q1480.06
median887.5
Q31825
95-th percentile11698.65
Maximum45632
Range45547.09
Interquartile range (IQR)1344.94

Descriptive statistics

Standard deviation6808.9747
Coefficient of variation (CV)2.2653746
Kurtosis26.171549
Mean3005.6728
Median Absolute Deviation (MAD)526
Skewness4.7539069
Sum192363.06
Variance46362136
MonotonicityNot monotonic
2023-12-22T21:24:26.441691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8125.65 2
 
0.5%
800.0 2
 
0.5%
1800.0 2
 
0.5%
868.0 1
 
0.3%
100.0 1
 
0.3%
177.0 1
 
0.3%
4562.0 1
 
0.3%
720.0 1
 
0.3%
1900.0 1
 
0.3%
2000.0 1
 
0.3%
Other values (51) 51
 
12.8%
(Missing) 335
84.0%
ValueCountFrequency (%)
84.91 1
0.3%
100.0 1
0.3%
111.0 1
0.3%
121.0 1
0.3%
177.0 1
0.3%
189.0 1
0.3%
228.22 1
0.3%
240.0 1
0.3%
252.63 1
0.3%
267.0 1
0.3%
ValueCountFrequency (%)
45632.0 1
0.3%
26167.0 1
0.3%
12298.0 1
0.3%
12000.0 1
0.3%
9991.0 1
0.3%
8600.0 1
0.3%
8125.65 2
0.5%
5312.0 1
0.3%
4562.0 1
0.3%
4436.0 1
0.3%

트랙폭(m)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)44.3%
Missing293
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean135.31717
Minimum6.5
Maximum9990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-22T21:24:27.075560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.5
5-th percentile9.775
Q117
median24
Q336
95-th percentile65.75
Maximum9990
Range9983.5
Interquartile range (IQR)19

Descriptive statistics

Standard deviation976.92751
Coefficient of variation (CV)7.2195384
Kurtosis101.36306
Mean135.31717
Median Absolute Deviation (MAD)8
Skewness9.9888076
Sum14343.62
Variance954387.36
MonotonicityNot monotonic
2023-12-22T21:24:27.967110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
20.0 10
 
2.5%
17.0 7
 
1.8%
24.0 5
 
1.3%
30.0 4
 
1.0%
18.0 4
 
1.0%
36.0 4
 
1.0%
16.0 4
 
1.0%
44.0 4
 
1.0%
22.0 3
 
0.8%
6.5 3
 
0.8%
Other values (37) 58
 
14.5%
(Missing) 293
73.4%
ValueCountFrequency (%)
6.5 3
0.8%
7.0 1
 
0.3%
8.0 1
 
0.3%
9.7 1
 
0.3%
10.0 2
0.5%
11.0 3
0.8%
12.0 1
 
0.3%
13.0 2
0.5%
15.0 3
0.8%
15.02 1
 
0.3%
ValueCountFrequency (%)
9990.0 1
0.3%
1500.0 1
0.3%
75.0 2
0.5%
70.0 1
0.3%
66.0 1
0.3%
65.0 1
0.3%
60.0 1
0.3%
55.0 1
0.3%
47.0 1
0.3%
45.0 2
0.5%

트랙길이(m)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)45.3%
Missing293
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean64.390755
Minimum7
Maximum3286.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-22T21:24:28.747888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile14.625
Q121
median30
Q340
95-th percentile69
Maximum3286.42
Range3279.42
Interquartile range (IQR)19

Descriptive statistics

Standard deviation316.46812
Coefficient of variation (CV)4.9148068
Kurtosis105.26232
Mean64.390755
Median Absolute Deviation (MAD)10
Skewness10.242696
Sum6825.42
Variance100152.07
MonotonicityNot monotonic
2023-12-22T21:24:29.532548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
40.0 14
 
3.5%
25.0 7
 
1.8%
15.0 6
 
1.5%
30.0 5
 
1.3%
20.0 4
 
1.0%
50.0 4
 
1.0%
22.0 3
 
0.8%
27.0 3
 
0.8%
28.0 3
 
0.8%
24.0 3
 
0.8%
Other values (38) 54
 
13.5%
(Missing) 293
73.4%
ValueCountFrequency (%)
7.0 1
 
0.3%
8.0 2
 
0.5%
9.0 2
 
0.5%
14.5 1
 
0.3%
15.0 6
1.5%
16.0 2
 
0.5%
17.0 1
 
0.3%
18.0 3
0.8%
18.3 1
 
0.3%
19.0 2
 
0.5%
ValueCountFrequency (%)
3286.42 1
0.3%
125.0 1
0.3%
83.0 2
0.5%
75.0 1
0.3%
70.0 1
0.3%
66.0 1
0.3%
64.0 1
0.3%
63.0 1
0.3%
62.0 1
0.3%
60.0 2
0.5%

트랙면적(㎡)
Real number (ℝ)

MISSING 

Distinct157
Distinct (%)82.2%
Missing208
Missing (%)52.1%
Infinite0
Infinite (%)0.0%
Mean1357.9975
Minimum97.5
Maximum19242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-22T21:24:30.202415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.5
5-th percentile98
Q1459.5
median880
Q31465.5
95-th percentile3562.5
Maximum19242
Range19144.5
Interquartile range (IQR)1006

Descriptive statistics

Standard deviation1959.4348
Coefficient of variation (CV)1.4428854
Kurtosis41.136262
Mean1357.9975
Median Absolute Deviation (MAD)460
Skewness5.4806179
Sum259377.52
Variance3839384.7
MonotonicityNot monotonic
2023-12-22T21:24:31.113280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.0 10
 
2.5%
1008.0 3
 
0.8%
924.0 3
 
0.8%
450.0 3
 
0.8%
3000.0 3
 
0.8%
1600.0 2
 
0.5%
880.0 2
 
0.5%
640.0 2
 
0.5%
750.0 2
 
0.5%
800.0 2
 
0.5%
Other values (147) 159
39.8%
(Missing) 208
52.1%
ValueCountFrequency (%)
97.5 2
 
0.5%
98.0 10
2.5%
105.0 1
 
0.3%
136.0 1
 
0.3%
151.0 1
 
0.3%
153.0 1
 
0.3%
160.0 1
 
0.3%
161.0 1
 
0.3%
162.0 1
 
0.3%
165.0 1
 
0.3%
ValueCountFrequency (%)
19242.0 1
0.3%
11449.0 1
0.3%
9210.0 1
0.3%
8606.0 1
0.3%
5244.0 1
0.3%
4100.0 1
0.3%
3825.0 1
0.3%
3729.0 1
0.3%
3680.0 1
0.3%
3600.0 1
0.3%

관람석좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing399
Missing (%)100.0%
Memory size3.6 KiB

수용인원수(명)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing399
Missing (%)100.0%
Memory size3.6 KiB

좌석형태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing399
Missing (%)100.0%
Memory size3.6 KiB

건설사업비(백만원)
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)75.0%
Missing315
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean4451.6071
Minimum15
Maximum108800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-22T21:24:31.796707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile56
Q1200
median485
Q32226.5
95-th percentile21853.9
Maximum108800
Range108785
Interquartile range (IQR)2026.5

Descriptive statistics

Standard deviation13546.099
Coefficient of variation (CV)3.0429683
Kurtosis43.528034
Mean4451.6071
Median Absolute Deviation (MAD)372.5
Skewness6.0508374
Sum373935
Variance1.8349681 × 108
MonotonicityNot monotonic
2023-12-22T21:24:32.702390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 5
 
1.3%
2651 4
 
1.0%
453 3
 
0.8%
400 3
 
0.8%
552 2
 
0.5%
700 2
 
0.5%
3018 2
 
0.5%
800 2
 
0.5%
2000 2
 
0.5%
500 2
 
0.5%
Other values (53) 57
 
14.3%
(Missing) 315
78.9%
ValueCountFrequency (%)
15 1
0.3%
34 1
0.3%
40 1
0.3%
50 1
0.3%
53 1
0.3%
73 1
0.3%
80 1
0.3%
91 1
0.3%
92 1
0.3%
96 1
0.3%
ValueCountFrequency (%)
108800 1
0.3%
42767 1
0.3%
23277 2
0.5%
22000 1
0.3%
21026 2
0.5%
14005 2
0.5%
12600 1
0.3%
10000 1
0.3%
3751 1
0.3%
3522 1
0.3%

비고사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing399
Missing (%)100.0%
Memory size3.6 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing399
Missing (%)100.0%
Memory size3.6 KiB

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing399
Missing (%)100.0%
Memory size3.6 KiB

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing399
Missing (%)100.0%
Memory size3.6 KiB

WGS84위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing399
Missing (%)100.0%
Memory size3.6 KiB

WGS84경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing399
Missing (%)100.0%
Memory size3.6 KiB

Sample

집계년도시군명시설명관리주체명준공연도부지면적(㎡)건축면적(㎡)연면적(㎡)트랙폭(m)트랙길이(m)트랙면적(㎡)관람석좌석수수용인원수(명)좌석형태명건설사업비(백만원)비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
02021가평군가평파크골프장시설관리공단201740087.0<NA><NA><NA><NA><NA><NA><NA><NA>1362<NA><NA><NA><NA><NA><NA>
12021가평군가평썰매장시설관리공단19979780.0671.0671.0<NA><NA><NA><NA><NA><NA>1985<NA><NA><NA><NA><NA><NA>
22021경기도팀업캠퍼스 풋살장민간위탁(SCG스포츠아카데미)2018206557.0<NA><NA><NA><NA><NA><NA><NA><NA>21026<NA><NA><NA><NA><NA><NA>
32021경기도팀업캠퍼스 야외 배드민턴장민간위탁(SCG스포츠아카데미)2018206557.0<NA><NA><NA><NA><NA><NA><NA><NA>21026<NA><NA><NA><NA><NA><NA>
42021고양시충장풋살장공원관리과<NA>1800.0<NA><NA><NA><NA>1800.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52021고양시탄현공원풋살장공원관리과<NA>1102.0<NA><NA><NA><NA>1102.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62021고양시행주풋살장고양도시관리공사<NA>512.0<NA><NA><NA><NA>512.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
72021고양시효자풋살장고양도시관리공사<NA>1157.0<NA><NA><NA><NA>1157.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
82021고양시덕이풋살장공원관리과<NA>1100.0<NA><NA><NA><NA>1100.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92021고양시환경에너지시설풋살장고양도시관리공사2010924.0<NA><NA><NA><NA>924.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
집계년도시군명시설명관리주체명준공연도부지면적(㎡)건축면적(㎡)연면적(㎡)트랙폭(m)트랙길이(m)트랙면적(㎡)관람석좌석수수용인원수(명)좌석형태명건설사업비(백만원)비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
3892021하남시유니온타워 족구장하남시2014858.0<NA><NA>13.033.0585.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3902021하남시하산곡동 풋살장하남시<NA>800.0<NA><NA>20.040.0800.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3912021하남시미사한강공원 풋살장하남시20193307.0<NA><NA><NA><NA>3307.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3922021화성시센트럴파크 인공암장화성시2008461.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3932021화성시동탄 파크골프장화성도시공사201715547.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3942021화성시향남2 파크골프장화성도시공사201714600.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3952021화성시향남 펜싱경기장화성시20179853.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3962021화성시동탄2 제3호공원론볼장화성도시공사20172520.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3972021화성시노작공원 볼컬링장화성시2008500.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3982021화성시송산 그라운드골프장화성도시공사20162180.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>