Overview

Dataset statistics

Number of variables22
Number of observations214
Missing cells2084
Missing cells (%)44.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.0 KiB
Average record size in memory191.6 B

Variable types

Categorical4
Text4
Numeric12
Unsupported2

Dataset

Description공공체육시설 현황(테니스)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=L31792M8FM4R41KZ1P3V4433687&infSeq=1

Alerts

집계년도 has constant value ""Constant
준공연도 has 3 (1.4%) missing valuesMissing
면적(㎡) has 7 (3.3%) missing valuesMissing
부지면적(㎡) has 21 (9.8%) missing valuesMissing
건축면적(㎡) has 154 (72.0%) missing valuesMissing
연면적(㎡) has 162 (75.7%) missing valuesMissing
관람석좌석수 has 178 (83.2%) missing valuesMissing
수용인원수(명) has 177 (82.7%) missing valuesMissing
건설사업비(백만원) has 112 (52.3%) missing valuesMissing
연락처 has 214 (100.0%) missing valuesMissing
비고사항 has 214 (100.0%) missing valuesMissing
소재지우편번호 has 168 (78.5%) missing valuesMissing
소재지지번주소 has 154 (72.0%) missing valuesMissing
소재지도로명주소 has 192 (89.7%) missing valuesMissing
WGS84위도 has 162 (75.7%) missing valuesMissing
WGS84경도 has 162 (75.7%) missing valuesMissing
연락처 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
건축면적(㎡) has 7 (3.3%) zerosZeros
연면적(㎡) has 8 (3.7%) zerosZeros
관람석좌석수 has 7 (3.3%) zerosZeros
수용인원수(명) has 6 (2.8%) zerosZeros

Reproduction

Analysis started2023-12-22 21:24:59.593293
Analysis finished2023-12-22 21:25:01.388985
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2021
214 

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 214
100.0%

Length

2023-12-22T21:25:01.779246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:25:02.255769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 214
100.0%

시군명
Categorical

Distinct31
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
화성시
22 
남양주시
19 
용인시
15 
수원시
 
12
파주시
 
12
Other values (26)
134 

Length

Max length4
Median length3
Mean length3.1308411
Min length3

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 22
 
10.3%
남양주시 19
 
8.9%
용인시 15
 
7.0%
수원시 12
 
5.6%
파주시 12
 
5.6%
양평군 11
 
5.1%
이천시 10
 
4.7%
고양시 10
 
4.7%
시흥시 10
 
4.7%
부천시 8
 
3.7%
Other values (21) 85
39.7%

Length

2023-12-22T21:25:03.595404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 22
 
10.3%
남양주시 19
 
8.9%
용인시 15
 
7.0%
수원시 12
 
5.6%
파주시 12
 
5.6%
양평군 11
 
5.1%
이천시 10
 
4.7%
고양시 10
 
4.7%
시흥시 10
 
4.7%
부천시 8
 
3.7%
Other values (21) 85
39.7%

시설명
Text

Distinct210
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-22T21:25:04.760267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length10.336449
Min length5

Characters and Unicode

Total characters2212
Distinct characters213
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

Unique208 ?
Unique (%)97.2%

Sample

1st row가평 테니스장
2nd row충장체육시설테니스장
3rd row벽제배수지테니스장
4th row토당제2근린공원 테니스장
5th row성저테니스장
ValueCountFrequency (%)
테니스장 100
26.7%
종합운동장테니스장 6
 
1.6%
체육공원 6
 
1.6%
종합운동장 5
 
1.3%
생활체육시설 4
 
1.1%
시립테니스장 4
 
1.1%
정구장 3
 
0.8%
체육시설 3
 
0.8%
용인 2
 
0.5%
생활체육공원테니스장 2
 
0.5%
Other values (232) 240
64.0%
2023-12-22T21:25:06.840226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 231
 
10.4%
스 199
 
9.0%
테 194
 
8.8%
니 194
 
8.8%
161
 
7.3%
원 96
 
4.3%
공 95
 
4.3%
체 63
 
2.8%
육 63
 
2.8%
동 37
 
1.7%
Other values (203) 879
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2024
91.5%
Space Separator 161
 
7.3%
Decimal Number 17
 
0.8%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 231
 
11.4%
스 199
 
9.8%
테 194
 
9.6%
니 194
 
9.6%
원 96
 
4.7%
공 95
 
4.7%
체 63
 
3.1%
육 63
 
3.1%
동 37
 
1.8%
시 34
 
1.7%
Other values (194) 818
40.4%
Decimal Number
ValueCountFrequency (%)
1 7
41.2%
2 6
35.3%
0 2
 
11.8%
4 1
 
5.9%
8 1
 
5.9%
Space Separator
ValueCountFrequency (%)
161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2024
91.5%
Common 186
 
8.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 231
 
11.4%
스 199
 
9.8%
테 194
 
9.6%
니 194
 
9.6%
원 96
 
4.7%
공 95
 
4.7%
체 63
 
3.1%
육 63
 
3.1%
동 37
 
1.8%
시 34
 
1.7%
Other values (194) 818
40.4%
Common
ValueCountFrequency (%)
161
86.6%
1 7
 
3.8%
2 6
 
3.2%
( 4
 
2.2%
) 4
 
2.2%
0 2
 
1.1%
4 1
 
0.5%
8 1
 
0.5%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2024
91.5%
ASCII 188
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 231
 
11.4%
스 199
 
9.8%
테 194
 
9.6%
니 194
 
9.6%
원 96
 
4.7%
공 95
 
4.7%
체 63
 
3.1%
육 63
 
3.1%
동 37
 
1.8%
시 34
 
1.7%
Other values (194) 818
40.4%
ASCII
ValueCountFrequency (%)
161
85.6%
1 7
 
3.7%
2 6
 
3.2%
( 4
 
2.1%
) 4
 
2.1%
C 2
 
1.1%
0 2
 
1.1%
4 1
 
0.5%
8 1
 
0.5%

소유기관명
Categorical

Distinct34
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
화성시
22 
남양주시
19 
용인시
15 
파주시
 
12
수원시
 
12
Other values (29)
134 

Length

Max length8
Median length3
Mean length3.1869159
Min length3

Unique

Unique6 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 22
 
10.3%
남양주시 19
 
8.9%
용인시 15
 
7.0%
파주시 12
 
5.6%
수원시 12
 
5.6%
양평군 11
 
5.1%
시흥시 10
 
4.7%
고양시 9
 
4.2%
이천시 9
 
4.2%
부천시 8
 
3.7%
Other values (24) 87
40.7%

Length

2023-12-22T21:25:07.605450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 22
 
10.3%
남양주시 19
 
8.9%
용인시 15
 
7.0%
파주시 12
 
5.6%
수원시 12
 
5.6%
양평군 11
 
5.1%
시흥시 10
 
4.7%
고양시 9
 
4.2%
이천시 9
 
4.2%
부천시 8
 
3.7%
Other values (24) 87
40.7%

관리주체명
Text

Distinct60
Distinct (%)28.3%
Missing2
Missing (%)0.9%
Memory size1.8 KiB
2023-12-22T21:25:08.254254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.7877358
Min length3

Characters and Unicode

Total characters1439
Distinct characters87
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)14.2%

Sample

1st row시설관리공단
2nd row위탁(고양시테니스협회)
3rd row위탁(고양시테니스협회)
4th row위탁(고양시테니스협회)
5th row고양도시관리공사
ValueCountFrequency (%)
남양주시 19
 
8.8%
화성도시공사 13
 
6.0%
용인시 13
 
6.0%
위탁(파주시테니스협회 12
 
5.6%
양평군 11
 
5.1%
시설관리공단 10
 
4.7%
위탁(시흥시테니스협회 10
 
4.7%
위탁(수원시체육회 10
 
4.7%
이천시 8
 
3.7%
부천시체육회 8
 
3.7%
Other values (53) 101
47.0%
2023-12-22T21:25:09.810578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 201
 
14.0%
회 68
 
4.7%
) 66
 
4.6%
( 66
 
4.6%
위 60
 
4.2%
탁 60
 
4.2%
공 58
 
4.0%
양 53
 
3.7%
사 51
 
3.5%
주 50
 
3.5%
Other values (77) 706
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1303
90.5%
Close Punctuation 66
 
4.6%
Open Punctuation 66
 
4.6%
Space Separator 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 201
 
15.4%
회 68
 
5.2%
위 60
 
4.6%
탁 60
 
4.6%
공 58
 
4.5%
양 53
 
4.1%
사 51
 
3.9%
주 50
 
3.8%
도 49
 
3.8%
테 45
 
3.5%
Other values (73) 608
46.7%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1303
90.5%
Common 136
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 201
 
15.4%
회 68
 
5.2%
위 60
 
4.6%
탁 60
 
4.6%
공 58
 
4.5%
양 53
 
4.1%
사 51
 
3.9%
주 50
 
3.8%
도 49
 
3.8%
테 45
 
3.5%
Other values (73) 608
46.7%
Common
ValueCountFrequency (%)
) 66
48.5%
( 66
48.5%
3
 
2.2%
? 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1303
90.5%
ASCII 136
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 201
 
15.4%
회 68
 
5.2%
위 60
 
4.6%
탁 60
 
4.6%
공 58
 
4.5%
양 53
 
4.1%
사 51
 
3.9%
주 50
 
3.8%
도 49
 
3.8%
테 45
 
3.5%
Other values (73) 608
46.7%
ASCII
ValueCountFrequency (%)
) 66
48.5%
( 66
48.5%
3
 
2.2%
? 1
 
0.7%

준공연도
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)15.6%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2007.3886
Minimum1985
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:10.644386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1994
Q12002
median2009
Q32014
95-th percentile2019
Maximum2021
Range36
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.0362668
Coefficient of variation (CV)0.0040033438
Kurtosis-0.32739282
Mean2007.3886
Median Absolute Deviation (MAD)6
Skewness-0.43827325
Sum423559
Variance64.581584
MonotonicityNot monotonic
2023-12-22T21:25:11.398187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2009 17
 
7.9%
2010 12
 
5.6%
2002 12
 
5.6%
2018 10
 
4.7%
2011 10
 
4.7%
2007 9
 
4.2%
2001 9
 
4.2%
2013 9
 
4.2%
2014 9
 
4.2%
2008 8
 
3.7%
Other values (23) 106
49.5%
ValueCountFrequency (%)
1985 2
 
0.9%
1986 1
 
0.5%
1988 2
 
0.9%
1991 1
 
0.5%
1992 2
 
0.9%
1994 4
1.9%
1995 7
3.3%
1996 5
2.3%
1997 4
1.9%
1998 5
2.3%
ValueCountFrequency (%)
2021 2
 
0.9%
2020 6
2.8%
2019 7
3.3%
2018 10
4.7%
2017 6
2.8%
2016 7
3.3%
2015 7
3.3%
2014 9
4.2%
2013 9
4.2%
2012 5
2.3%

바닥재료명
Categorical

Distinct43
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
인조잔디
71 
클레이
43 
케미칼
15 
하드코트
14 
하드
8 
Other values (38)
63 

Length

Max length20
Median length19
Mean length4.3364486
Min length2

Unique

Unique27 ?
Unique (%)12.6%

Sample

1st row클레이
2nd row클레이
3rd row인조잔디
4th row케이컬
5th row케미칼

Common Values

ValueCountFrequency (%)
인조잔디 71
33.2%
클레이 43
20.1%
케미칼 15
 
7.0%
하드코트 14
 
6.5%
하드 8
 
3.7%
마사토 8
 
3.7%
우레탄 4
 
1.9%
인조잔디3 4
 
1.9%
앙투카 3
 
1.4%
인조잔디4 3
 
1.4%
Other values (33) 41
19.2%

Length

2023-12-22T21:25:12.373502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인조잔디 83
33.9%
클레이 47
19.2%
하드코트 18
 
7.3%
케미칼 15
 
6.1%
하드 9
 
3.7%
마사토 8
 
3.3%
4 5
 
2.0%
2 4
 
1.6%
우레탄 4
 
1.6%
인조잔디3 4
 
1.6%
Other values (34) 48
19.6%

면적(㎡)
Real number (ℝ)

MISSING 

Distinct185
Distinct (%)89.4%
Missing7
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean2665.8242
Minimum260
Maximum11373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:13.285632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum260
5-th percentile759.72
Q11420
median2220
Q33363
95-th percentile5990
Maximum11373
Range11113
Interquartile range (IQR)1943

Descriptive statistics

Standard deviation1846.5721
Coefficient of variation (CV)0.69268338
Kurtosis4.9506915
Mean2665.8242
Median Absolute Deviation (MAD)937
Skewness1.9224723
Sum551825.6
Variance3409828.4
MonotonicityNot monotonic
2023-12-22T21:25:14.282648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2465.0 3
 
1.4%
1024.0 3
 
1.4%
2690.0 3
 
1.4%
1800.0 2
 
0.9%
1224.0 2
 
0.9%
1300.0 2
 
0.9%
3500.0 2
 
0.9%
2592.0 2
 
0.9%
2310.0 2
 
0.9%
1480.0 2
 
0.9%
Other values (175) 184
86.0%
(Missing) 7
 
3.3%
ValueCountFrequency (%)
260.0 1
0.5%
474.0 1
0.5%
576.0 1
0.5%
594.0 1
0.5%
621.0 1
0.5%
625.0 1
0.5%
640.0 1
0.5%
666.0 1
0.5%
684.0 1
0.5%
700.0 1
0.5%
ValueCountFrequency (%)
11373.0 1
0.5%
11283.0 1
0.5%
8596.0 1
0.5%
8225.0 1
0.5%
8101.0 1
0.5%
8027.0 1
0.5%
7936.0 1
0.5%
7483.0 1
0.5%
7418.0 1
0.5%
6200.0 1
0.5%

부지면적(㎡)
Real number (ℝ)

MISSING 

Distinct181
Distinct (%)93.8%
Missing21
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean8684.2193
Minimum474
Maximum138326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:15.014132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum474
5-th percentile936
Q11870
median3172
Q36925
95-th percentile35279.2
Maximum138326
Range137852
Interquartile range (IQR)5055

Descriptive statistics

Standard deviation16659.774
Coefficient of variation (CV)1.9183963
Kurtosis26.708908
Mean8684.2193
Median Absolute Deviation (MAD)1672
Skewness4.6336333
Sum1676054.3
Variance2.7754808 × 108
MonotonicityNot monotonic
2023-12-22T21:25:15.635569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2690.0 3
 
1.4%
1500.0 3
 
1.4%
5600.0 2
 
0.9%
3985.0 2
 
0.9%
1740.0 2
 
0.9%
1480.0 2
 
0.9%
1300.0 2
 
0.9%
2797.0 2
 
0.9%
1024.0 2
 
0.9%
640.0 2
 
0.9%
Other values (171) 171
79.9%
(Missing) 21
 
9.8%
ValueCountFrequency (%)
474.0 1
0.5%
594.0 1
0.5%
625.0 1
0.5%
640.0 2
0.9%
666.0 1
0.5%
700.0 1
0.5%
802.0 1
0.5%
809.0 1
0.5%
915.0 1
0.5%
950.0 1
0.5%
ValueCountFrequency (%)
138326.0 1
0.5%
103143.0 1
0.5%
81631.0 1
0.5%
77786.0 1
0.5%
59473.0 1
0.5%
42014.0 1
0.5%
40719.0 1
0.5%
40213.0 1
0.5%
38064.0 1
0.5%
38014.0 1
0.5%

건축면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)85.0%
Missing154
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean1248.9197
Minimum0
Maximum27090
Zeros7
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:16.315089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162.25
median223
Q31401
95-th percentile3686.9395
Maximum27090
Range27090
Interquartile range (IQR)1338.75

Descriptive statistics

Standard deviation3572.2885
Coefficient of variation (CV)2.8603029
Kurtosis48.246541
Mean1248.9197
Median Absolute Deviation (MAD)199.45
Skewness6.6429024
Sum74935.18
Variance12761245
MonotonicityNot monotonic
2023-12-22T21:25:16.836527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
3.3%
40.0 2
 
0.9%
248.0 2
 
0.9%
68.0 2
 
0.9%
126.0 1
 
0.5%
45.0 1
 
0.5%
82.0 1
 
0.5%
2699.45 1
 
0.5%
190.2 1
 
0.5%
160.14 1
 
0.5%
Other values (41) 41
 
19.2%
(Missing) 154
72.0%
ValueCountFrequency (%)
0.0 7
3.3%
23.1 1
 
0.5%
24.0 1
 
0.5%
27.0 1
 
0.5%
35.0 1
 
0.5%
36.0 1
 
0.5%
40.0 2
 
0.9%
45.0 1
 
0.5%
68.0 2
 
0.9%
71.73 1
 
0.5%
ValueCountFrequency (%)
27090.0 1
0.5%
3875.0 1
0.5%
3723.79 1
0.5%
3685.0 1
0.5%
3500.0 1
0.5%
2745.0 1
0.5%
2738.0 1
0.5%
2699.45 1
0.5%
2500.0 1
0.5%
2366.0 1
0.5%

연면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)80.8%
Missing162
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean792.88
Minimum0
Maximum3936
Zeros8
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:17.505717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162.25
median191
Q31430
95-th percentile3255.529
Maximum3936
Range3936
Interquartile range (IQR)1367.75

Descriptive statistics

Standard deviation1108.1014
Coefficient of variation (CV)1.3975651
Kurtosis1.0634705
Mean792.88
Median Absolute Deviation (MAD)181
Skewness1.4784391
Sum41229.76
Variance1227888.8
MonotonicityNot monotonic
2023-12-22T21:25:18.070911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 8
 
3.7%
68.0 2
 
0.9%
266.0 2
 
0.9%
1430.0 2
 
0.9%
1732.58 1
 
0.5%
3936.0 1
 
0.5%
232.89 1
 
0.5%
89.2 1
 
0.5%
2963.0 1
 
0.5%
2738.0 1
 
0.5%
Other values (32) 32
 
15.0%
(Missing) 162
75.7%
ValueCountFrequency (%)
0.0 8
3.7%
24.0 1
 
0.5%
27.0 1
 
0.5%
35.0 1
 
0.5%
36.0 1
 
0.5%
45.0 1
 
0.5%
68.0 2
 
0.9%
72.0 1
 
0.5%
80.5 1
 
0.5%
83.0 1
 
0.5%
ValueCountFrequency (%)
3936.0 1
0.5%
3577.0 1
0.5%
3357.62 1
0.5%
3172.0 1
0.5%
2963.0 1
0.5%
2738.0 1
0.5%
2500.0 1
0.5%
1970.0 1
0.5%
1732.58 1
0.5%
1600.0 1
0.5%

코트면수
Real number (ℝ)

Distinct14
Distinct (%)6.6%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.3018868
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:18.655743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile9
Maximum17
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.6039336
Coefficient of variation (CV)0.60530036
Kurtosis4.0312664
Mean4.3018868
Median Absolute Deviation (MAD)1
Skewness1.6856474
Sum912
Variance6.7804704
MonotonicityNot monotonic
2023-12-22T21:25:19.053941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 45
21.0%
3 45
21.0%
2 36
16.8%
6 27
12.6%
5 18
 
8.4%
1 14
 
6.5%
8 11
 
5.1%
10 3
 
1.4%
12 3
 
1.4%
9 3
 
1.4%
Other values (4) 7
 
3.3%
ValueCountFrequency (%)
1 14
 
6.5%
2 36
16.8%
3 45
21.0%
4 45
21.0%
5 18
 
8.4%
6 27
12.6%
7 3
 
1.4%
8 11
 
5.1%
9 3
 
1.4%
10 3
 
1.4%
ValueCountFrequency (%)
17 1
 
0.5%
14 1
 
0.5%
13 2
 
0.9%
12 3
 
1.4%
10 3
 
1.4%
9 3
 
1.4%
8 11
5.1%
7 3
 
1.4%
6 27
12.6%
5 18
8.4%

관람석좌석수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)63.9%
Missing178
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean219.58333
Minimum0
Maximum1160
Zeros7
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:19.497768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median95
Q3300
95-th percentile847
Maximum1160
Range1160
Interquartile range (IQR)285

Descriptive statistics

Standard deviation291.27399
Coefficient of variation (CV)1.326485
Kurtosis2.3750118
Mean219.58333
Median Absolute Deviation (MAD)95
Skewness1.6856317
Sum7905
Variance84840.536
MonotonicityNot monotonic
2023-12-22T21:25:20.098567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 7
 
3.3%
200 3
 
1.4%
50 3
 
1.4%
16 2
 
0.9%
38 2
 
0.9%
300 2
 
0.9%
1160 1
 
0.5%
100 1
 
0.5%
20 1
 
0.5%
8 1
 
0.5%
Other values (13) 13
 
6.1%
(Missing) 178
83.2%
ValueCountFrequency (%)
0 7
3.3%
8 1
 
0.5%
12 1
 
0.5%
16 2
 
0.9%
20 1
 
0.5%
38 2
 
0.9%
50 3
1.4%
90 1
 
0.5%
100 1
 
0.5%
150 1
 
0.5%
ValueCountFrequency (%)
1160 1
0.5%
850 1
0.5%
846 1
0.5%
656 1
0.5%
585 1
0.5%
578 1
0.5%
452 1
0.5%
400 1
0.5%
300 2
0.9%
204 1
0.5%

수용인원수(명)
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)54.1%
Missing177
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean259.59459
Minimum0
Maximum1500
Zeros6
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:20.576532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median150
Q3300
95-th percentile1000
Maximum1500
Range1500
Interquartile range (IQR)250

Descriptive statistics

Standard deviation340.01058
Coefficient of variation (CV)1.3097753
Kurtosis4.4887844
Mean259.59459
Median Absolute Deviation (MAD)100
Skewness2.0991306
Sum9605
Variance115607.19
MonotonicityNot monotonic
2023-12-22T21:25:21.004277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 6
 
2.8%
200 5
 
2.3%
50 3
 
1.4%
150 2
 
0.9%
1000 2
 
0.9%
40 2
 
0.9%
400 2
 
0.9%
60 2
 
0.9%
80 2
 
0.9%
300 1
 
0.5%
Other values (10) 10
 
4.7%
(Missing) 177
82.7%
ValueCountFrequency (%)
0 6
2.8%
40 2
 
0.9%
50 3
1.4%
60 2
 
0.9%
80 2
 
0.9%
90 1
 
0.5%
100 1
 
0.5%
150 2
 
0.9%
156 1
 
0.5%
180 1
 
0.5%
ValueCountFrequency (%)
1500 1
 
0.5%
1000 2
 
0.9%
850 1
 
0.5%
585 1
 
0.5%
578 1
 
0.5%
452 1
 
0.5%
400 2
 
0.9%
300 1
 
0.5%
204 1
 
0.5%
200 5
2.3%

건설사업비(백만원)
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)76.5%
Missing112
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean2858.7941
Minimum0
Maximum112950
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:21.649891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40.05
Q1120
median346.5
Q31032.25
95-th percentile8450.75
Maximum112950
Range112950
Interquartile range (IQR)912.25

Descriptive statistics

Standard deviation12135.082
Coefficient of variation (CV)4.2448255
Kurtosis68.867303
Mean2858.7941
Median Absolute Deviation (MAD)296.5
Skewness7.863962
Sum291597
Variance1.4726022 × 108
MonotonicityNot monotonic
2023-12-22T21:25:22.291913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 5
 
2.3%
300 4
 
1.9%
120 4
 
1.9%
200 3
 
1.4%
100 3
 
1.4%
50 2
 
0.9%
1200 2
 
0.9%
400 2
 
0.9%
60 2
 
0.9%
2100 2
 
0.9%
Other values (68) 73
34.1%
(Missing) 112
52.3%
ValueCountFrequency (%)
0 1
0.5%
20 1
0.5%
30 2
0.9%
40 2
0.9%
41 1
0.5%
44 1
0.5%
45 1
0.5%
48 1
0.5%
50 2
0.9%
52 1
0.5%
ValueCountFrequency (%)
112950 1
0.5%
32756 1
0.5%
31100 1
0.5%
23365 1
0.5%
9917 1
0.5%
8525 1
0.5%
7040 1
0.5%
7000 1
0.5%
3500 1
0.5%
3470 1
0.5%

연락처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

비고사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)100.0%
Memory size2.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)82.6%
Missing168
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean16097.5
Minimum10223
Maximum18633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:23.218630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10223
5-th percentile10287.5
Q116321.75
median17038
Q318358
95-th percentile18582
Maximum18633
Range8410
Interquartile range (IQR)2036.25

Descriptive statistics

Standard deviation2894.9354
Coefficient of variation (CV)0.17983758
Kurtosis0.12778713
Mean16097.5
Median Absolute Deviation (MAD)1309.5
Skewness-1.2673299
Sum740485
Variance8380651.1
MonotonicityNot monotonic
2023-12-22T21:25:23.913048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
16429 3
 
1.4%
18358 3
 
1.4%
10223 2
 
0.9%
17058 2
 
0.9%
18551 2
 
0.9%
18633 2
 
0.9%
17097 1
 
0.5%
17087 1
 
0.5%
17172 1
 
0.5%
18258 1
 
0.5%
Other values (28) 28
 
13.1%
(Missing) 168
78.5%
ValueCountFrequency (%)
10223 2
0.9%
10271 1
0.5%
10337 1
0.5%
10439 1
0.5%
10471 1
0.5%
10501 1
0.5%
10512 1
0.5%
13268 1
0.5%
13495 1
0.5%
16230 1
0.5%
ValueCountFrequency (%)
18633 2
0.9%
18591 1
 
0.5%
18555 1
 
0.5%
18551 2
0.9%
18472 1
 
0.5%
18450 1
 
0.5%
18436 1
 
0.5%
18389 1
 
0.5%
18358 3
1.4%
18337 1
 
0.5%

소재지지번주소
Text

MISSING 

Distinct52
Distinct (%)86.7%
Missing154
Missing (%)72.0%
Memory size1.8 KiB
2023-12-22T21:25:25.177701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length19.85
Min length13

Characters and Unicode

Total characters1191
Distinct characters96
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

Unique46 ?
Unique (%)76.7%

Sample

1st row경기도 고양시 덕양구 행주내동 202
2nd row경기도 고양시 덕양구 벽제동 산 43-32
3rd row경기도 고양시 덕양구 토당동 3-39
4th row경기도 고양시 일산서구 대화동 2320
5th row경기도 고양시 일산동구 백석동 1235
ValueCountFrequency (%)
경기도 60
 
20.5%
화성시 21
 
7.2%
용인시 15
 
5.1%
고양시 10
 
3.4%
수원시 9
 
3.1%
덕양구 6
 
2.0%
처인구 6
 
2.0%
권선구 6
 
2.0%
성남시 5
 
1.7%
기흥구 5
 
1.7%
Other values (116) 150
51.2%
2023-12-22T21:25:26.867560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
19.6%
기 67
 
5.6%
경 60
 
5.0%
도 60
 
5.0%
시 60
 
5.0%
동 51
 
4.3%
구 39
 
3.3%
3 32
 
2.7%
- 31
 
2.6%
2 31
 
2.6%
Other values (86) 527
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 723
60.7%
Space Separator 233
 
19.6%
Decimal Number 204
 
17.1%
Dash Punctuation 31
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 67
 
9.3%
경 60
 
8.3%
도 60
 
8.3%
시 60
 
8.3%
동 51
 
7.1%
구 39
 
5.4%
성 30
 
4.1%
화 25
 
3.5%
양 23
 
3.2%
인 21
 
2.9%
Other values (74) 287
39.7%
Decimal Number
ValueCountFrequency (%)
3 32
15.7%
2 31
15.2%
5 27
13.2%
1 26
12.7%
9 21
10.3%
4 19
9.3%
6 15
7.4%
0 13
6.4%
8 11
 
5.4%
7 9
 
4.4%
Space Separator
ValueCountFrequency (%)
233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 723
60.7%
Common 468
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 67
 
9.3%
경 60
 
8.3%
도 60
 
8.3%
시 60
 
8.3%
동 51
 
7.1%
구 39
 
5.4%
성 30
 
4.1%
화 25
 
3.5%
양 23
 
3.2%
인 21
 
2.9%
Other values (74) 287
39.7%
Common
ValueCountFrequency (%)
233
49.8%
3 32
 
6.8%
- 31
 
6.6%
2 31
 
6.6%
5 27
 
5.8%
1 26
 
5.6%
9 21
 
4.5%
4 19
 
4.1%
6 15
 
3.2%
0 13
 
2.8%
Other values (2) 20
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 723
60.7%
ASCII 468
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
49.8%
3 32
 
6.8%
- 31
 
6.6%
2 31
 
6.6%
5 27
 
5.8%
1 26
 
5.6%
9 21
 
4.5%
4 19
 
4.1%
6 15
 
3.2%
0 13
 
2.8%
Other values (2) 20
 
4.3%
Hangul
ValueCountFrequency (%)
기 67
 
9.3%
경 60
 
8.3%
도 60
 
8.3%
시 60
 
8.3%
동 51
 
7.1%
구 39
 
5.4%
성 30
 
4.1%
화 25
 
3.5%
양 23
 
3.2%
인 21
 
2.9%
Other values (74) 287
39.7%

소재지도로명주소
Text

MISSING 

Distinct19
Distinct (%)86.4%
Missing192
Missing (%)89.7%
Memory size1.8 KiB
2023-12-22T21:25:27.827752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length20.454545
Min length15

Characters and Unicode

Total characters450
Distinct characters75
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

Unique17 ?
Unique (%)77.3%

Sample

1st row경기도 고양시 덕양구 행주로 108-1
2nd row경기도 고양시 덕양구 보광로50번길 43
3rd row경기도 고양시 일산서구 중앙로 1601
4th row경기도 고양시 덕양구 호국로 506-2
5th row경기도 고양시 일산동구 중산로 217
ValueCountFrequency (%)
경기도 22
20.8%
용인시 7
 
6.6%
화성시 5
 
4.7%
고양시 5
 
4.7%
처인구 4
 
3.8%
수원시 3
 
2.8%
태안로 3
 
2.8%
263 3
 
2.8%
덕양구 3
 
2.8%
수지구 2
 
1.9%
Other values (44) 49
46.2%
2023-12-22T21:25:29.378244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
18.7%
기 23
 
5.1%
경 22
 
4.9%
도 22
 
4.9%
시 22
 
4.9%
로 22
 
4.9%
1 21
 
4.7%
구 17
 
3.8%
2 12
 
2.7%
인 11
 
2.4%
Other values (65) 194
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
61.3%
Decimal Number 87
 
19.3%
Space Separator 84
 
18.7%
Dash Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 23
 
8.3%
경 22
 
8.0%
도 22
 
8.0%
시 22
 
8.0%
로 22
 
8.0%
구 17
 
6.2%
인 11
 
4.0%
양 8
 
2.9%
길 8
 
2.9%
성 8
 
2.9%
Other values (53) 113
40.9%
Decimal Number
ValueCountFrequency (%)
1 21
24.1%
2 12
13.8%
6 11
12.6%
7 8
 
9.2%
3 8
 
9.2%
5 7
 
8.0%
0 6
 
6.9%
9 5
 
5.7%
8 5
 
5.7%
4 4
 
4.6%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
61.3%
Common 174
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 23
 
8.3%
경 22
 
8.0%
도 22
 
8.0%
시 22
 
8.0%
로 22
 
8.0%
구 17
 
6.2%
인 11
 
4.0%
양 8
 
2.9%
길 8
 
2.9%
성 8
 
2.9%
Other values (53) 113
40.9%
Common
ValueCountFrequency (%)
84
48.3%
1 21
 
12.1%
2 12
 
6.9%
6 11
 
6.3%
7 8
 
4.6%
3 8
 
4.6%
5 7
 
4.0%
0 6
 
3.4%
9 5
 
2.9%
8 5
 
2.9%
Other values (2) 7
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
61.3%
ASCII 174
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
48.3%
1 21
 
12.1%
2 12
 
6.9%
6 11
 
6.3%
7 8
 
4.6%
3 8
 
4.6%
5 7
 
4.0%
0 6
 
3.4%
9 5
 
2.9%
8 5
 
2.9%
Other values (2) 7
 
4.0%
Hangul
ValueCountFrequency (%)
기 23
 
8.3%
경 22
 
8.0%
도 22
 
8.0%
시 22
 
8.0%
로 22
 
8.0%
구 17
 
6.2%
인 11
 
4.0%
양 8
 
2.9%
길 8
 
2.9%
성 8
 
2.9%
Other values (53) 113
40.9%

WGS84위도
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)88.5%
Missing162
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean37.307941
Minimum37.077868
Maximum37.717977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:30.037372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.077868
5-th percentile37.109715
Q137.214515
median37.24343
Q337.329589
95-th percentile37.673796
Maximum37.717977
Range0.64010837
Interquartile range (IQR)0.1150737

Descriptive statistics

Standard deviation0.16890202
Coefficient of variation (CV)0.0045272406
Kurtosis0.61161114
Mean37.307941
Median Absolute Deviation (MAD)0.042339406
Skewness1.2676405
Sum1940.0129
Variance0.028527893
MonotonicityNot monotonic
2023-12-22T21:25:31.266543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
37.2145148309 3
 
1.4%
37.2155728121 2
 
0.9%
37.2228454497 2
 
0.9%
37.0817051904 2
 
0.9%
37.2241332755 2
 
0.9%
37.1665220582 1
 
0.5%
37.1326325079 1
 
0.5%
37.265936768 1
 
0.5%
37.2622050822 1
 
0.5%
37.2198315847 1
 
0.5%
Other values (36) 36
 
16.8%
(Missing) 162
75.7%
ValueCountFrequency (%)
37.0778683193 1
0.5%
37.0817051904 2
0.9%
37.1326325079 1
0.5%
37.1665220582 1
0.5%
37.1718701056 1
0.5%
37.1975777735 1
0.5%
37.2037541849 1
0.5%
37.2058704497 1
0.5%
37.2063282533 1
0.5%
37.2134938312 1
0.5%
ValueCountFrequency (%)
37.7179766876 1
0.5%
37.6914989219 1
0.5%
37.6763969939 1
0.5%
37.6716671802 1
0.5%
37.6421858955 1
0.5%
37.6330656884 1
0.5%
37.625887736 1
0.5%
37.6079138991 1
0.5%
37.4622682714 1
0.5%
37.4466407635 1
0.5%

WGS84경도
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)88.5%
Missing162
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean127.00571
Minimum126.7092
Maximum127.37503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-22T21:25:32.203558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.7092
5-th percentile126.73136
Q1126.889
median127.03652
Q3127.1053
95-th percentile127.20759
Maximum127.37503
Range0.66582166
Interquartile range (IQR)0.21630008

Descriptive statistics

Standard deviation0.1555137
Coefficient of variation (CV)0.0012244623
Kurtosis-0.49895058
Mean127.00571
Median Absolute Deviation (MAD)0.093333824
Skewness-0.26213862
Sum6604.2968
Variance0.02418451
MonotonicityNot monotonic
2023-12-22T21:25:33.339870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
127.021131256 3
 
1.4%
126.723390165 2
 
0.9%
127.1893001942 2
 
0.9%
126.9464364658 2
 
0.9%
127.0763346901 2
 
0.9%
126.7092045485 1
 
0.5%
126.927943801 1
 
0.5%
127.2146471591 1
 
0.5%
127.0926573388 1
 
0.5%
127.1331041134 1
 
0.5%
Other values (36) 36
 
16.8%
(Missing) 162
75.7%
ValueCountFrequency (%)
126.7092045485 1
0.5%
126.723390165 2
0.9%
126.7378780942 1
0.5%
126.7431481571 1
0.5%
126.7799024563 1
0.5%
126.7968515392 1
0.5%
126.8255850365 1
0.5%
126.8280014881 1
0.5%
126.829740872 1
0.5%
126.8297603763 1
0.5%
ValueCountFrequency (%)
127.3750262077 1
0.5%
127.2472597012 1
0.5%
127.2146471591 1
0.5%
127.2018202881 1
0.5%
127.1893001942 2
0.9%
127.1646540639 1
0.5%
127.1624592864 1
0.5%
127.150096999 1
0.5%
127.1331041134 1
0.5%
127.1197592947 1
0.5%

Sample

집계년도시군명시설명소유기관명관리주체명준공연도바닥재료명면적(㎡)부지면적(㎡)건축면적(㎡)연면적(㎡)코트면수관람석좌석수수용인원수(명)건설사업비(백만원)연락처비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
02021가평군가평 테니스장가평군시설관리공단2007클레이5644.017580.0404.0580.010<NA><NA>2800<NA><NA><NA><NA><NA><NA><NA>
12021고양시충장체육시설테니스장한국철도시설공단위탁(고양시테니스협회)2002클레이2590.02590.0<NA><NA>4<NA><NA><NA><NA><NA>10439경기도 고양시 덕양구 행주내동 202경기도 고양시 덕양구 행주로 108-137.607914126.831261
22021고양시벽제배수지테니스장고양시위탁(고양시테니스협회)2009인조잔디1115.01115.0<NA><NA>1<NA><NA>160<NA><NA>10271경기도 고양시 덕양구 벽제동 산 43-32경기도 고양시 덕양구 보광로50번길 4337.717977126.907259
32021고양시토당제2근린공원 테니스장고양시위탁(고양시테니스협회)2000케이컬2700.02700.0<NA><NA>69090200<NA><NA>10512경기도 고양시 덕양구 토당동 3-39<NA>37.625888126.829741
42021고양시성저테니스장고양시고양도시관리공사2011케미칼2911.03050.097.38147.92400900<NA><NA>10223경기도 고양시 일산서구 대화동 2320경기도 고양시 일산서구 중앙로 160137.676397126.743148
52021고양시환경에너지 시설 내 테니스장고양시고양도시관리공사2010인조잔디2590.040719.0<NA><NA>3<NA><NA>112950<NA><NA><NA>경기도 고양시 일산동구 백석동 1235<NA>37.642186126.796852
62021고양시고양 시립테니스장고양시고양시1995케이컬8027.014537.0144.0144.0128508501055<NA><NA><NA>경기도 고양시 덕양구 성사동 산 552<NA><NA><NA>
72021고양시성라공원테니스장고양시위탁(고양시테니스협회)2004클레이2045.02045.0<NA><NA>3<NA><NA><NA><NA><NA>10471경기도 고양시 덕양구 성사동 269<NA><NA><NA>
82021고양시화정제8호근린공원테니스장고양시위탁(고양시테니스협회)1998클레이2146.02146.0<NA><NA>3<NA><NA><NA><NA><NA>10501경기도 고양시 덕양구 화정동 943경기도 고양시 덕양구 호국로 506-237.633066126.825585
92021고양시중산제2호근린공원테니스장고양시위탁(고양시테니스협회)1996클레이1908.01908.0<NA><NA>3<NA><NA><NA><NA><NA>10337경기도 고양시 일산동구 중산동 1565경기도 고양시 일산동구 중산로 21737.691499126.779902
집계년도시군명시설명소유기관명관리주체명준공연도바닥재료명면적(㎡)부지면적(㎡)건축면적(㎡)연면적(㎡)코트면수관람석좌석수수용인원수(명)건설사업비(백만원)연락처비고사항소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
2042021화성시장안남산체육공원 테니스장화성시화성도시공사2017우레탄666.0666.0<NA><NA>1<NA><NA><NA><NA><NA><NA>경기도 화성시 장안면 사랑리 2-4<NA>37.077868126.834218
2052021화성시사강리 동네체육시설 테니스장화성시화성시2002인조잔디2560.02560.0<NA><NA>4<NA><NA><NA><NA><NA>18551경기도 화성시 송산면 사강리 365-5<NA>37.215573126.72339
2062021화성시한화바이오밸리 테니스장화성시화성시2017인조잔디915.0915.0<NA><NA>1<NA><NA><NA><NA><NA><NA>경기도 화성시 석우동 4<NA>37.224133127.076335
2072021화성시신남동 동네체육시설화성시남양동 테니스협회1996마사토2270.02270.0<NA><NA>4<NA><NA><NA><NA><NA>18555경기도 화성시 서신면 매화리 276-3<NA>37.166522126.709205
2082021화성시서신생활체육시설 테니스장화성시화성시<NA>인조잔디802.0802.0<NA><NA>1<NA><NA>774<NA><NA>18591경기도 화성시 향남읍 행정리 478<NA>37.132633126.927944
2092021화성시야생초공원 테니스장화성시화성도시공사2004인조잔디950.0950.0<NA><NA>2<NA><NA><NA><NA><NA>18436경기도 화성시 반송동 59<NA>37.203754127.061238
2102021화성시동탄센트럴파크테니스장화성시화성도시공사2008인조잔디3564.03564.0<NA><NA>6<NA><NA><NA><NA><NA>18551경기도 화성시 송산면 사강리 365-5<NA>37.215573126.72339
2112021화성시시청 테니스장화성시화성시2000인조잔디1276.02056.0<NA><NA>2<NA><NA>180<NA><NA>18274경기도 화성시 남양읍 남양리 2000<NA>37.197578126.82976
2122021화성시금반저류지화성시화성도시공사2019우레탄700.0700.0<NA><NA>1<NA><NA><NA><NA><NA>18633경기도 화성시 양감면 신왕리 640-7<NA>37.081705126.946436
2132021화성시예당임시체육시설화성시화성도시공사2013마사토1800.01800.0<NA><NA>3<NA><NA><NA><NA><NA><NA>경기도 화성시 석우동 58<NA>37.206328127.077196