Overview

Dataset statistics

Number of variables25
Number of observations265
Missing cells2542
Missing cells (%)38.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.5 KiB
Average record size in memory218.5 B

Variable types

Categorical6
Text2
Numeric11
Unsupported6

Alerts

집계년도 has constant value ""Constant
바닥재료명 is highly imbalanced (67.1%)Imbalance
준공연도 has 5 (1.9%) missing valuesMissing
폭(m) has 28 (10.6%) missing valuesMissing
면수 has 15 (5.7%) missing valuesMissing
면적(㎡) has 9 (3.4%) missing valuesMissing
길이(m) has 30 (11.3%) missing valuesMissing
연면적(㎡) has 207 (78.1%) missing valuesMissing
건축면적(㎡) has 200 (75.5%) missing valuesMissing
부지면적(㎡) has 17 (6.4%) missing valuesMissing
건설사업비(백만원) has 120 (45.3%) missing valuesMissing
수용인원수(명) has 161 (60.8%) missing valuesMissing
관람석좌석수 has 160 (60.4%) missing valuesMissing
비고사항 has 265 (100.0%) missing valuesMissing
소재지우편번호 has 265 (100.0%) missing valuesMissing
소재지지번주소 has 265 (100.0%) missing valuesMissing
소재지도로명주소 has 265 (100.0%) missing valuesMissing
WGS84위도 has 265 (100.0%) missing valuesMissing
WGS84경도 has 265 (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
연면적(㎡) has 5 (1.9%) zerosZeros
건축면적(㎡) has 5 (1.9%) zerosZeros

Reproduction

Analysis started2023-12-22 21:32:54.490717
Analysis finished2023-12-22 21:32:56.227795
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2021
265 

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 265
100.0%

Length

2023-12-22T21:32:56.651006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:32:57.152277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 265
100.0%

시군명
Categorical

Distinct31
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
화성시
34 
남양주시
19 
이천시
18 
파주시
 
16
고양시
 
15
Other values (26)
163 

Length

Max length4
Median length3
Mean length3.090566
Min length3

Unique

Unique3 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 34
 
12.8%
남양주시 19
 
7.2%
이천시 18
 
6.8%
파주시 16
 
6.0%
고양시 15
 
5.7%
양평군 15
 
5.7%
안산시 15
 
5.7%
수원시 12
 
4.5%
여주시 12
 
4.5%
평택시 11
 
4.2%
Other values (21) 98
37.0%

Length

2023-12-22T21:32:57.781023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 34
 
12.8%
남양주시 19
 
7.2%
이천시 18
 
6.8%
파주시 16
 
6.0%
고양시 15
 
5.7%
양평군 15
 
5.7%
안산시 15
 
5.7%
수원시 12
 
4.5%
여주시 12
 
4.5%
평택시 11
 
4.2%
Other values (21) 98
37.0%
Distinct264
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-22T21:32:58.819227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length10.769811
Min length5

Characters and Unicode

Total characters2854
Distinct characters252
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)99.2%

Sample

1st row설악생활체육공원
2nd row상면다목적 체육공원
3rd row축구전용구장
4th row조종생활체육공원 축구장
5th row청평생활체육공원
ValueCountFrequency (%)
축구장 132
26.9%
체육공원 15
 
3.1%
8
 
1.6%
인조잔디구장 8
 
1.6%
체육시설 5
 
1.0%
하수처리시설 5
 
1.0%
보조구장 5
 
1.0%
동탄2 3
 
0.6%
종합운동장 3
 
0.6%
유소년 3
 
0.6%
Other values (292) 303
61.8%
2023-12-22T21:33:01.072338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
292
 
10.2%
243
 
8.5%
225
 
7.9%
197
 
6.9%
160
 
5.6%
147
 
5.2%
99
 
3.5%
99
 
3.5%
60
 
2.1%
47
 
1.6%
Other values (242) 1285
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2565
89.9%
Space Separator 225
 
7.9%
Decimal Number 30
 
1.1%
Close Punctuation 13
 
0.5%
Open Punctuation 13
 
0.5%
Lowercase Letter 3
 
0.1%
Uppercase Letter 3
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
292
 
11.4%
243
 
9.5%
197
 
7.7%
160
 
6.2%
147
 
5.7%
99
 
3.9%
99
 
3.9%
60
 
2.3%
47
 
1.8%
38
 
1.5%
Other values (226) 1183
46.1%
Decimal Number
ValueCountFrequency (%)
1 13
43.3%
2 11
36.7%
8 2
 
6.7%
4 2
 
6.7%
3 1
 
3.3%
9 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
v 1
33.3%
t 1
33.3%
m 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2565
89.9%
Common 283
 
9.9%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
292
 
11.4%
243
 
9.5%
197
 
7.7%
160
 
6.2%
147
 
5.7%
99
 
3.9%
99
 
3.9%
60
 
2.3%
47
 
1.8%
38
 
1.5%
Other values (226) 1183
46.1%
Common
ValueCountFrequency (%)
225
79.5%
) 13
 
4.6%
( 13
 
4.6%
1 13
 
4.6%
2 11
 
3.9%
8 2
 
0.7%
4 2
 
0.7%
, 2
 
0.7%
3 1
 
0.4%
9 1
 
0.4%
Latin
ValueCountFrequency (%)
v 1
16.7%
t 1
16.7%
m 1
16.7%
C 1
16.7%
B 1
16.7%
A 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2565
89.9%
ASCII 289
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
292
 
11.4%
243
 
9.5%
197
 
7.7%
160
 
6.2%
147
 
5.7%
99
 
3.9%
99
 
3.9%
60
 
2.3%
47
 
1.8%
38
 
1.5%
Other values (226) 1183
46.1%
ASCII
ValueCountFrequency (%)
225
77.9%
) 13
 
4.5%
( 13
 
4.5%
1 13
 
4.5%
2 11
 
3.8%
8 2
 
0.7%
4 2
 
0.7%
, 2
 
0.7%
3 1
 
0.3%
v 1
 
0.3%
Other values (6) 6
 
2.1%

준공연도
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)13.1%
Missing5
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean2009.0462
Minimum1984
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:02.155826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1984
5-th percentile1996
Q12004
median2009.5
Q32015
95-th percentile2019
Maximum2021
Range37
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.3404381
Coefficient of variation (CV)0.0036536931
Kurtosis0.61233189
Mean2009.0462
Median Absolute Deviation (MAD)5.5
Skewness-0.7553516
Sum522352
Variance53.882031
MonotonicityNot monotonic
2023-12-22T21:33:02.947802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2018 18
 
6.8%
2009 16
 
6.0%
2008 16
 
6.0%
2004 16
 
6.0%
2011 15
 
5.7%
2017 15
 
5.7%
2014 15
 
5.7%
2006 12
 
4.5%
2010 12
 
4.5%
2005 12
 
4.5%
Other values (24) 113
42.6%
ValueCountFrequency (%)
1984 1
 
0.4%
1986 3
1.1%
1989 1
 
0.4%
1991 2
 
0.8%
1992 1
 
0.4%
1993 1
 
0.4%
1994 1
 
0.4%
1995 2
 
0.8%
1996 5
1.9%
1997 3
1.1%
ValueCountFrequency (%)
2021 4
 
1.5%
2020 5
 
1.9%
2019 6
 
2.3%
2018 18
6.8%
2017 15
5.7%
2016 9
3.4%
2015 11
4.2%
2014 15
5.7%
2013 10
3.8%
2012 10
3.8%

소유기관명
Categorical

Distinct35
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
화성시
34 
남양주시
19 
이천시
17 
파주시
 
16
양평군
 
15
Other values (30)
164 

Length

Max length8
Median length3
Mean length3.2603774
Min length3

Unique

Unique4 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 34
 
12.8%
남양주시 19
 
7.2%
이천시 17
 
6.4%
파주시 16
 
6.0%
양평군 15
 
5.7%
안산시 15
 
5.7%
고양시 14
 
5.3%
여주시 12
 
4.5%
평택시 11
 
4.2%
부천시 9
 
3.4%
Other values (25) 103
38.9%

Length

2023-12-22T21:33:03.712189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 34
 
12.5%
남양주시 19
 
7.0%
이천시 17
 
6.2%
파주시 16
 
5.9%
양평군 15
 
5.5%
안산시 15
 
5.5%
고양시 14
 
5.1%
여주시 12
 
4.4%
수원시 12
 
4.4%
성남시 11
 
4.0%
Other values (23) 107
39.3%
Distinct71
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-22T21:33:04.312053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.3245283
Min length3

Characters and Unicode

Total characters1676
Distinct characters121
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)14.3%

Sample

1st row설악면사무소
2nd row상면사무소
3rd row시설관리공단
4th row조종면사무소
5th row청평면사무소
ValueCountFrequency (%)
화성도시공사 31
 
11.1%
이천시 16
 
5.7%
남양주시 16
 
5.7%
파주시 15
 
5.4%
위탁(안산도시공사 14
 
5.0%
양평군 13
 
4.6%
여주시 12
 
4.3%
시설관리공단 10
 
3.6%
고양도시관리공사 9
 
3.2%
성남도시개발공사 8
 
2.9%
Other values (65) 136
48.6%
2023-12-22T21:33:07.115939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
 
13.8%
112
 
6.7%
110
 
6.6%
101
 
6.0%
66
 
3.9%
60
 
3.6%
( 57
 
3.4%
) 57
 
3.4%
48
 
2.9%
38
 
2.3%
Other values (111) 795
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1533
91.5%
Open Punctuation 57
 
3.4%
Close Punctuation 57
 
3.4%
Space Separator 20
 
1.2%
Decimal Number 3
 
0.2%
Uppercase Letter 3
 
0.2%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
232
 
15.1%
112
 
7.3%
110
 
7.2%
101
 
6.6%
66
 
4.3%
60
 
3.9%
48
 
3.1%
38
 
2.5%
35
 
2.3%
32
 
2.1%
Other values (100) 699
45.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
C 1
33.3%
G 1
33.3%
Decimal Number
ValueCountFrequency (%)
5 2
66.7%
1 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
f 1
50.0%
c 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1533
91.5%
Common 138
 
8.2%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
232
 
15.1%
112
 
7.3%
110
 
7.2%
101
 
6.6%
66
 
4.3%
60
 
3.9%
48
 
3.1%
38
 
2.5%
35
 
2.3%
32
 
2.1%
Other values (100) 699
45.6%
Common
ValueCountFrequency (%)
( 57
41.3%
) 57
41.3%
20
 
14.5%
5 2
 
1.4%
1 1
 
0.7%
, 1
 
0.7%
Latin
ValueCountFrequency (%)
S 1
20.0%
C 1
20.0%
G 1
20.0%
f 1
20.0%
c 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1533
91.5%
ASCII 143
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
232
 
15.1%
112
 
7.3%
110
 
7.2%
101
 
6.6%
66
 
4.3%
60
 
3.9%
48
 
3.1%
38
 
2.5%
35
 
2.3%
32
 
2.1%
Other values (100) 699
45.6%
ASCII
ValueCountFrequency (%)
( 57
39.9%
) 57
39.9%
20
 
14.0%
5 2
 
1.4%
1 1
 
0.7%
S 1
 
0.7%
C 1
 
0.7%
G 1
 
0.7%
, 1
 
0.7%
f 1
 
0.7%

바닥재료명
Categorical

IMBALANCE 

Distinct20
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
인조잔디
209 
천연잔디
21 
토사
 
9
인조잔디 1
 
5
토사구장
 
4
Other values (15)
 
17

Length

Max length14
Median length4
Mean length4.1320755
Min length2

Unique

Unique14 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
인조잔디 209
78.9%
천연잔디 21
 
7.9%
토사 9
 
3.4%
인조잔디 1 5
 
1.9%
토사구장 4
 
1.5%
마사토 3
 
1.1%
52 1
 
0.4%
인조잔디 1토사 1 1
 
0.4%
4104 1
 
0.4%
천연잔디 1 1
 
0.4%
Other values (10) 10
 
3.8%

Length

2023-12-22T21:33:07.810580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인조잔디 216
76.9%
천연잔디 25
 
8.9%
1 10
 
3.6%
토사 9
 
3.2%
토사구장 4
 
1.4%
마사토 3
 
1.1%
48 1
 
0.4%
인조잔디인조잔디 1
 
0.4%
주차장 1
 
0.4%
3흙 1
 
0.4%
Other values (10) 10
 
3.6%

폭(m)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)19.8%
Missing28
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean68.635021
Minimum36
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:08.392923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile46.8
Q164
median68
Q370
95-th percentile100.8
Maximum120
Range84
Interquartile range (IQR)6

Descriptive statistics

Standard deviation13.873041
Coefficient of variation (CV)0.20212773
Kurtosis4.3980503
Mean68.635021
Median Absolute Deviation (MAD)4
Skewness1.5717907
Sum16266.5
Variance192.46127
MonotonicityNot monotonic
2023-12-22T21:33:09.365435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
68.0 67
25.3%
64.0 37
14.0%
70.0 21
 
7.9%
60.0 9
 
3.4%
65.0 9
 
3.4%
50.0 7
 
2.6%
72.0 7
 
2.6%
74.0 6
 
2.3%
120.0 5
 
1.9%
66.0 5
 
1.9%
Other values (37) 64
24.2%
(Missing) 28
10.6%
ValueCountFrequency (%)
36.0 1
 
0.4%
40.0 1
 
0.4%
42.0 1
 
0.4%
44.0 3
1.1%
45.0 3
1.1%
46.0 3
1.1%
47.0 2
 
0.8%
50.0 7
2.6%
52.0 1
 
0.4%
54.0 1
 
0.4%
ValueCountFrequency (%)
120.0 5
1.9%
110.0 2
 
0.8%
109.0 3
1.1%
108.0 1
 
0.4%
104.0 1
 
0.4%
100.0 2
 
0.8%
95.0 1
 
0.4%
94.0 2
 
0.8%
92.0 1
 
0.4%
90.0 1
 
0.4%

면수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)4.0%
Missing15
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean180.248
Minimum1
Maximum41311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:10.045174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum41311
Range41310
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2617.0273
Coefficient of variation (CV)14.519037
Kurtosis247.98059
Mean180.248
Median Absolute Deviation (MAD)0
Skewness15.71916
Sum45062
Variance6848832.1
MonotonicityNot monotonic
2023-12-22T21:33:10.801234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 223
84.2%
2 16
 
6.0%
3 3
 
1.1%
4 2
 
0.8%
1000 1
 
0.4%
41311 1
 
0.4%
2425 1
 
0.4%
42 1
 
0.4%
5 1
 
0.4%
7 1
 
0.4%
(Missing) 15
 
5.7%
ValueCountFrequency (%)
1 223
84.2%
2 16
 
6.0%
3 3
 
1.1%
4 2
 
0.8%
5 1
 
0.4%
7 1
 
0.4%
42 1
 
0.4%
1000 1
 
0.4%
2425 1
 
0.4%
41311 1
 
0.4%
ValueCountFrequency (%)
41311 1
 
0.4%
2425 1
 
0.4%
1000 1
 
0.4%
42 1
 
0.4%
7 1
 
0.4%
5 1
 
0.4%
4 2
 
0.8%
3 3
 
1.1%
2 16
 
6.0%
1 223
84.2%

면적(㎡)
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)47.3%
Missing9
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean6983.9961
Minimum1
Maximum67200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:11.448716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15400
median6933
Q37350
95-th percentile14280
Maximum67200
Range67199
Interquartile range (IQR)1950

Descriptive statistics

Standard deviation5732.1096
Coefficient of variation (CV)0.82074925
Kurtosis57.6243
Mean6983.9961
Median Absolute Deviation (MAD)841
Skewness6.3208229
Sum1787903
Variance32857080
MonotonicityNot monotonic
2023-12-22T21:33:12.311771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7140 48
 
18.1%
6400 22
 
8.3%
1 18
 
6.8%
14280 6
 
2.3%
7350 6
 
2.3%
4500 5
 
1.9%
6500 4
 
1.5%
5400 4
 
1.5%
7700 3
 
1.1%
7280 3
 
1.1%
Other values (111) 137
51.7%
(Missing) 9
 
3.4%
ValueCountFrequency (%)
1 18
6.8%
570 1
 
0.4%
1944 1
 
0.4%
2200 1
 
0.4%
2268 1
 
0.4%
2270 1
 
0.4%
2664 1
 
0.4%
2940 1
 
0.4%
2950 1
 
0.4%
2973 1
 
0.4%
ValueCountFrequency (%)
67200 1
 
0.4%
47130 1
 
0.4%
32400 1
 
0.4%
21420 1
 
0.4%
18145 1
 
0.4%
15774 1
 
0.4%
15620 1
 
0.4%
14350 1
 
0.4%
14280 6
2.3%
14000 1
 
0.4%

길이(m)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)21.3%
Missing30
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean733.30553
Minimum50
Maximum12000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:13.013327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile80
Q1100
median105
Q3105
95-th percentile7383
Maximum12000
Range11950
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2325.0586
Coefficient of variation (CV)3.1706547
Kurtosis13.275444
Mean733.30553
Median Absolute Deviation (MAD)5
Skewness3.7524318
Sum172326.8
Variance5405897.5
MonotonicityNot monotonic
2023-12-22T21:33:13.723488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.0 71
26.8%
100.0 47
17.7%
102.0 9
 
3.4%
90.0 9
 
3.4%
110.0 9
 
3.4%
111.0 7
 
2.6%
12000.0 5
 
1.9%
104.0 5
 
1.9%
120.0 5
 
1.9%
95.0 4
 
1.5%
Other values (40) 64
24.2%
(Missing) 30
11.3%
ValueCountFrequency (%)
50.0 1
 
0.4%
52.0 1
 
0.4%
54.0 2
0.8%
55.0 1
 
0.4%
72.0 1
 
0.4%
75.0 2
0.8%
77.0 3
1.1%
80.0 3
1.1%
82.0 1
 
0.4%
85.0 1
 
0.4%
ValueCountFrequency (%)
12000.0 5
1.9%
9519.0 1
 
0.4%
8362.0 1
 
0.4%
8212.0 1
 
0.4%
8175.0 3
1.1%
7530.0 1
 
0.4%
7320.0 1
 
0.4%
7072.0 1
 
0.4%
4888.0 1
 
0.4%
4840.0 1
 
0.4%

연면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)86.2%
Missing207
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean5346.5281
Minimum0
Maximum89154
Zeros5
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:14.388882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q196.625
median185.83
Q34806
95-th percentile24541.868
Maximum89154
Range89154
Interquartile range (IQR)4709.375

Descriptive statistics

Standard deviation14153.7
Coefficient of variation (CV)2.6472694
Kurtosis22.836049
Mean5346.5281
Median Absolute Deviation (MAD)163.83
Skewness4.4528537
Sum310098.63
Variance2.0032722 × 108
MonotonicityNot monotonic
2023-12-22T21:33:15.201098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
1.9%
147.0 2
 
0.8%
22.0 2
 
0.8%
163.0 2
 
0.8%
296.0 2
 
0.8%
9000.0 1
 
0.4%
47130.0 1
 
0.4%
115.0 1
 
0.4%
141.11 1
 
0.4%
18.48 1
 
0.4%
Other values (40) 40
 
15.1%
(Missing) 207
78.1%
ValueCountFrequency (%)
0.0 5
1.9%
18.48 1
 
0.4%
22.0 2
 
0.8%
40.14 1
 
0.4%
41.86 1
 
0.4%
74.0 1
 
0.4%
76.5 1
 
0.4%
77.19 1
 
0.4%
84.0 1
 
0.4%
96.5 1
 
0.4%
ValueCountFrequency (%)
89154.0 1
0.4%
47130.0 1
0.4%
37163.0 1
0.4%
22314.61 1
0.4%
14823.0 1
0.4%
13707.0 1
0.4%
10473.0 1
0.4%
9771.0 1
0.4%
9482.05 1
0.4%
9000.0 1
0.4%

건축면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)83.1%
Missing200
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean4297.9145
Minimum0
Maximum60460
Zeros5
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:15.949676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q198
median265.91
Q36007
95-th percentile16325.4
Maximum60460
Range60460
Interquartile range (IQR)5909

Descriptive statistics

Standard deviation9755.2482
Coefficient of variation (CV)2.2697632
Kurtosis20.577814
Mean4297.9145
Median Absolute Deviation (MAD)247.43
Skewness4.2254777
Sum279364.44
Variance95164868
MonotonicityNot monotonic
2023-12-22T21:33:16.649305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
1.9%
7140.0 4
 
1.5%
132.0 3
 
1.1%
115.0 2
 
0.8%
22.0 2
 
0.8%
84.0 1
 
0.4%
109.08 1
 
0.4%
294.17 1
 
0.4%
9753.0 1
 
0.4%
7822.0 1
 
0.4%
Other values (44) 44
 
16.6%
(Missing) 200
75.5%
ValueCountFrequency (%)
0.0 5
1.9%
18.48 1
 
0.4%
22.0 2
 
0.8%
40.14 1
 
0.4%
41.96 1
 
0.4%
50.0 1
 
0.4%
74.0 1
 
0.4%
76.5 1
 
0.4%
83.79 1
 
0.4%
84.0 1
 
0.4%
ValueCountFrequency (%)
60460.0 1
0.4%
43980.0 1
0.4%
18422.0 1
0.4%
16701.0 1
0.4%
14823.0 1
0.4%
9771.0 1
0.4%
9753.0 1
0.4%
8778.0 1
0.4%
8400.0 1
0.4%
8214.0 1
0.4%

부지면적(㎡)
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)89.9%
Missing17
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean36315.042
Minimum462.57
Maximum411908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:17.397300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum462.57
5-th percentile3292.75
Q17140
median14124.5
Q335151.75
95-th percentile124045.83
Maximum411908
Range411445.43
Interquartile range (IQR)28011.75

Descriptive statistics

Standard deviation66926.096
Coefficient of variation (CV)1.8429304
Kurtosis20.45463
Mean36315.042
Median Absolute Deviation (MAD)8635
Skewness4.3041844
Sum9006130.4
Variance4.4791024 × 109
MonotonicityNot monotonic
2023-12-22T21:33:17.910323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7140.0 12
 
4.5%
411908.0 5
 
1.9%
6800.0 3
 
1.1%
6732.0 2
 
0.8%
6220.0 2
 
0.8%
7420.0 2
 
0.8%
35000.0 2
 
0.8%
5400.0 2
 
0.8%
4500.0 2
 
0.8%
42421.0 2
 
0.8%
Other values (213) 214
80.8%
(Missing) 17
 
6.4%
ValueCountFrequency (%)
462.57 1
0.4%
570.0 1
0.4%
653.0 1
0.4%
1077.0 1
0.4%
1228.0 1
0.4%
2200.0 1
0.4%
2270.0 1
0.4%
2664.0 1
0.4%
2940.0 1
0.4%
2950.0 1
0.4%
ValueCountFrequency (%)
411908.0 5
1.9%
365319.0 1
 
0.4%
206557.0 1
 
0.4%
164077.0 2
 
0.8%
158101.0 1
 
0.4%
156918.0 1
 
0.4%
145117.0 1
 
0.4%
127127.9 1
 
0.4%
118322.0 1
 
0.4%
117141.0 1
 
0.4%

건설사업비(백만원)
Real number (ℝ)

MISSING 

Distinct127
Distinct (%)87.6%
Missing120
Missing (%)45.3%
Infinite0
Infinite (%)0.0%
Mean6440.7503
Minimum10.8
Maximum225226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:18.394138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.8
5-th percentile300
Q1937
median1975
Q33777
95-th percentile14800
Maximum225226
Range225215.2
Interquartile range (IQR)2840

Descriptive statistics

Standard deviation23268.798
Coefficient of variation (CV)3.6127464
Kurtosis60.0714
Mean6440.7503
Median Absolute Deviation (MAD)1154
Skewness7.3164368
Sum933908.8
Variance5.4143695 × 108
MonotonicityNot monotonic
2023-12-22T21:33:19.243114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000.0 5
 
1.9%
1100.0 3
 
1.1%
2500.0 2
 
0.8%
1400.0 2
 
0.8%
5500.0 2
 
0.8%
300.0 2
 
0.8%
1200.0 2
 
0.8%
500.0 2
 
0.8%
1975.0 2
 
0.8%
800.0 2
 
0.8%
Other values (117) 121
45.7%
(Missing) 120
45.3%
ValueCountFrequency (%)
10.8 1
0.4%
91.0 1
0.4%
183.0 1
0.4%
227.0 1
0.4%
250.0 1
0.4%
270.0 1
0.4%
297.0 1
0.4%
300.0 2
0.8%
323.0 1
0.4%
350.0 1
0.4%
ValueCountFrequency (%)
225226.0 1
0.4%
114397.0 1
0.4%
108800.0 1
0.4%
72748.0 1
0.4%
23756.0 1
0.4%
21026.0 1
0.4%
16350.0 1
0.4%
16000.0 1
0.4%
10000.0 1
0.4%
9800.0 1
0.4%

수용인원수(명)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)45.2%
Missing161
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean2163.2115
Minimum40
Maximum44000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:19.915061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile100
Q1200
median419
Q31008.25
95-th percentile9250
Maximum44000
Range43960
Interquartile range (IQR)808.25

Descriptive statistics

Standard deviation6224.3434
Coefficient of variation (CV)2.8773623
Kurtosis25.619445
Mean2163.2115
Median Absolute Deviation (MAD)269
Skewness4.8654563
Sum224974
Variance38742450
MonotonicityNot monotonic
2023-12-22T21:33:21.267310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
200 13
 
4.9%
1000 11
 
4.2%
400 7
 
2.6%
1200 6
 
2.3%
100 5
 
1.9%
300 5
 
1.9%
3000 4
 
1.5%
500 4
 
1.5%
150 3
 
1.1%
600 3
 
1.1%
Other values (37) 43
 
16.2%
(Missing) 161
60.8%
ValueCountFrequency (%)
40 1
 
0.4%
50 1
 
0.4%
60 2
 
0.8%
100 5
 
1.9%
120 1
 
0.4%
150 3
 
1.1%
170 1
 
0.4%
200 13
4.9%
220 1
 
0.4%
228 1
 
0.4%
ValueCountFrequency (%)
44000 1
 
0.4%
30000 1
 
0.4%
27000 1
 
0.4%
20000 1
 
0.4%
16000 1
 
0.4%
10000 1
 
0.4%
5000 2
0.8%
4200 1
 
0.4%
3000 4
1.5%
2940 1
 
0.4%

관람석좌석수
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)64.8%
Missing160
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean2121.6
Minimum10
Maximum43923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-22T21:33:21.833450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile60
Q1200
median360
Q3547
95-th percentile14763.2
Maximum43923
Range43913
Interquartile range (IQR)347

Descriptive statistics

Standard deviation6913.4751
Coefficient of variation (CV)3.2586138
Kurtosis24.795365
Mean2121.6
Median Absolute Deviation (MAD)168
Skewness4.8371409
Sum222768
Variance47796138
MonotonicityNot monotonic
2023-12-22T21:33:22.733069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 8
 
3.0%
400 7
 
2.6%
300 7
 
2.6%
500 6
 
2.3%
100 3
 
1.1%
150 3
 
1.1%
1000 3
 
1.1%
376 2
 
0.8%
50 2
 
0.8%
192 2
 
0.8%
Other values (58) 62
 
23.4%
(Missing) 160
60.4%
ValueCountFrequency (%)
10 1
 
0.4%
16 1
 
0.4%
25 1
 
0.4%
50 2
0.8%
60 2
0.8%
66 1
 
0.4%
70 1
 
0.4%
80 2
0.8%
100 3
1.1%
120 1
 
0.4%
ValueCountFrequency (%)
43923 1
0.4%
43000 1
0.4%
23000 1
0.4%
20305 1
0.4%
17745 1
0.4%
16879 1
0.4%
6300 1
0.4%
5000 1
0.4%
4275 1
0.4%
3000 1
0.4%

좌석형태명
Categorical

Distinct15
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
138 
계단식
51 
의자식
21 
-
17 
계단의자식
 
12
Other values (10)
26 

Length

Max length5
Median length4
Mean length3.5169811
Min length1

Unique

Unique6 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 138
52.1%
계단식 51
 
19.2%
의자식 21
 
7.9%
- 17
 
6.4%
계단의자식 12
 
4.5%
스탠드 11
 
4.2%
좌판고정식 4
 
1.5%
스텐드 3
 
1.1%
벤치식 2
 
0.8%
1 1
 
0.4%
Other values (5) 5
 
1.9%

Length

2023-12-22T21:33:23.630520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 138
52.1%
계단식 51
 
19.2%
의자식 21
 
7.9%
17
 
6.4%
계단의자식 12
 
4.5%
스탠드 11
 
4.2%
좌판고정식 4
 
1.5%
스텐드 3
 
1.1%
벤치식 2
 
0.8%
1 1
 
0.4%
Other values (5) 5
 
1.9%

건축구조명
Categorical

Distinct25
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
147 
철근콘크리트
42 
콘크리트
18 
-
15 
경량철골
 
10
Other values (20)
33 

Length

Max length16
Median length4
Mean length4.2377358
Min length1

Unique

Unique11 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 147
55.5%
철근콘크리트 42
 
15.8%
콘크리트 18
 
6.8%
- 15
 
5.7%
경량철골 10
 
3.8%
철골 4
 
1.5%
철근콘크리트조 4
 
1.5%
보강토 2
 
0.8%
철콘 2
 
0.8%
철골조 2
 
0.8%
Other values (15) 19
 
7.2%

Length

2023-12-22T21:33:24.402821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 147
54.6%
철근콘크리트 42
 
15.6%
콘크리트 18
 
6.7%
15
 
5.6%
경량철골 10
 
3.7%
철골 4
 
1.5%
철근콘크리트조 4
 
1.5%
철콘 3
 
1.1%
목재 3
 
1.1%
합성목재 2
 
0.7%
Other values (17) 21
 
7.8%

비고사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing265
Missing (%)100.0%
Memory size2.5 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing265
Missing (%)100.0%
Memory size2.5 KiB

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing265
Missing (%)100.0%
Memory size2.5 KiB

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing265
Missing (%)100.0%
Memory size2.5 KiB

WGS84위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing265
Missing (%)100.0%
Memory size2.5 KiB

WGS84경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing265
Missing (%)100.0%
Memory size2.5 KiB

Sample

집계년도시군명시설명준공연도소유기관명관리주체명바닥재료명폭(m)면수면적(㎡)길이(m)연면적(㎡)건축면적(㎡)부지면적(㎡)건설사업비(백만원)수용인원수(명)관람석좌석수좌석형태명건축구조명비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
02021가평군설악생활체육공원2013가평군설악면사무소인조잔디65.016825105.0158.0158.044241.010000.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12021가평군상면다목적 체육공원2012가평군상면사무소토사56.015880105.00.00.025421.02240.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22021가평군축구전용구장2011가평군시설관리공단인조잔디68.0214280105.0265.91265.91108834.06960.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32021가평군조종생활체육공원 축구장2009가평군조종면사무소토사68.017140105.0<NA><NA>43062.06820.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42021가평군청평생활체육공원2020가평군청평면사무소인조잔디65.016500100.00.00.029451.016350.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52021경기도팀업캠퍼스 축구장2018경기도민간위탁(SCG스포츠아카데미)인조잔디64.016400100.0<NA><NA>206557.021026.0<NA><NA><NA>P.C<NA><NA><NA><NA><NA><NA>
62021고양시원능하수처리장축구장2012고양시고양시하수행정과인조잔디104.0<NA>19519.0<NA><NA><NA>1100.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
72021고양시신원축구장2012고양시고양도시관리공사인조잔디95.0<NA>14275.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
82021고양시지도공원축구장1996고양시고양시(체육진흥과)토사구장120.0<NA>112000.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92021고양시강촌공원축구장1996고양시고양시(체육진흥과)토사구장120.0<NA>112000.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
집계년도시군명시설명준공연도소유기관명관리주체명바닥재료명폭(m)면수면적(㎡)길이(m)연면적(㎡)건축면적(㎡)부지면적(㎡)건설사업비(백만원)수용인원수(명)관람석좌석수좌석형태명건축구조명비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
2552021화성시동탄1호체육공원축구장 (치동천)2016화성시화성도시공사인조잔디66.01633696.0<NA><NA>48167.0<NA><NA><NA><NA>콘크리트<NA><NA><NA><NA><NA><NA>
2562021화성시동탄2 수질복원센터 상부인조잔디구장2015화성시화성도시공사인조잔디68.017140105.0<NA><NA>10184.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2572021화성시쌍봉산근린공원인조잔디구장2007화성시화성도시공사인조잔디64.016400100.0<NA><NA>7480.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2582021화성시비봉인조잔디축구장2006화성시화성도시공사인조잔디64.016982100.0280.0280.012153.01204.0400366계단의자식<NA><NA><NA><NA><NA><NA><NA>
2592021화성시봉담생태체육공원 축구장2020화성시화성도시공사인조잔디<NA>18543<NA><NA><NA>8543.0<NA><NA><NA><NA>나무<NA><NA><NA><NA><NA><NA>
2602021화성시왕배산체육공원 축구장2018화성시화성도시공사인조잔디<NA>15980<NA><NA><NA>5980.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2612021화성시선납숲공원 축구장2018화성시화성도시공사인조잔디<NA>14961<NA><NA><NA>4961.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2622021화성시목동공원(근린19호, 목동이음터) 축구장2018화성시화성도시공사인조잔디<NA>13071<NA><NA><NA>3071.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2632021화성시봉선체육공원(송린이음터) 축구장2019화성시화성도시공사우레탄<NA>1570<NA><NA><NA>570.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2642021화성시동탄여울공원 축구장2017화성시화성도시공사인조잔디<NA>17140<NA><NA><NA>7140.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>