Overview

Dataset statistics

Number of variables17
Number of observations49
Missing cells191
Missing cells (%)22.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory138.6 B

Variable types

Text13
Categorical3
DateTime1

Dataset

Description경기도 성남시 시립 체육시설 현황에 대한 데이터로, 시설명, 주소, 전화번호, 관리자, 준공일, 부지면적 등의 항목을 제공합니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15032467/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리자 is highly overall correlated with 협약기간High correlation
협약기간 is highly overall correlated with 관리자High correlation
관리자 is highly imbalanced (65.4%)Imbalance
주소(도로명) has 24 (49.0%) missing valuesMissing
부지면적 has 4 (8.2%) missing valuesMissing
경기장면적 has 28 (57.1%) missing valuesMissing
시설3 has 11 (22.4%) missing valuesMissing
시설4 has 25 (51.0%) missing valuesMissing
시설5 has 30 (61.2%) missing valuesMissing
시설6 has 37 (75.5%) missing valuesMissing
시설7 has 32 (65.3%) missing valuesMissing

Reproduction

Analysis started2024-03-15 00:07:23.855664
Analysis finished2024-03-15 00:07:27.779875
Duration3.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명1
Text

Distinct36
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-15T09:07:28.424692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.1020408
Min length3

Characters and Unicode

Total characters446
Distinct characters106
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

Unique30 ?
Unique (%)61.2%

Sample

1st row시립테니스장
2nd row시립테니스장
3rd row시립테니스장
4th row시립테니스장
5th row시립테니스장
ValueCountFrequency (%)
체육시설 11
 
13.3%
성남종합운동장 7
 
8.4%
시립테니스장 5
 
6.0%
배수지내 5
 
6.0%
탄천종합운동장 3
 
3.6%
운중체육공원 3
 
3.6%
탄천변 3
 
3.6%
주경기장 2
 
2.4%
보조경기장 2
 
2.4%
야구장 2
 
2.4%
Other values (38) 40
48.2%
2024-03-15T09:07:29.914303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 39
 
8.7%
34
 
7.6%
체 21
 
4.7%
육 21
 
4.7%
시 19
 
4.3%
운 14
 
3.1%
동 14
 
3.1%
설 11
 
2.5%
종 11
 
2.5%
합 11
 
2.5%
Other values (96) 251
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 410
91.9%
Space Separator 34
 
7.6%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 39
 
9.5%
체 21
 
5.1%
육 21
 
5.1%
시 19
 
4.6%
운 14
 
3.4%
동 14
 
3.4%
설 11
 
2.7%
종 11
 
2.7%
합 11
 
2.7%
공 10
 
2.4%
Other values (94) 239
58.3%
Space Separator
ValueCountFrequency (%)
34
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 410
91.9%
Common 36
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 39
 
9.5%
체 21
 
5.1%
육 21
 
5.1%
시 19
 
4.6%
운 14
 
3.4%
동 14
 
3.4%
설 11
 
2.7%
종 11
 
2.7%
합 11
 
2.7%
공 10
 
2.4%
Other values (94) 239
58.3%
Common
ValueCountFrequency (%)
34
94.4%
1 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 410
91.9%
ASCII 36
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 39
 
9.5%
체 21
 
5.1%
육 21
 
5.1%
시 19
 
4.6%
운 14
 
3.4%
동 14
 
3.4%
설 11
 
2.7%
종 11
 
2.7%
합 11
 
2.7%
공 10
 
2.4%
Other values (94) 239
58.3%
ASCII
ValueCountFrequency (%)
34
94.4%
1 2
 
5.6%

시설명2
Text

Distinct44
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-15T09:07:30.546271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length21
Mean length9.0204082
Min length3

Characters and Unicode

Total characters442
Distinct characters109
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

Unique42 ?
Unique (%)85.7%

Sample

1st row양지테니스장
2nd row대원테니스장
3rd row황송테니스장
4th row희망대테니스장
5th row수내테니스장
ValueCountFrequency (%)
축구장 8
 
12.5%
및 4
 
6.2%
게이트볼장 3
 
4.7%
족구장 3
 
4.7%
다목적구장 3
 
4.7%
육상경기장 2
 
3.1%
체육시설 2
 
3.1%
인공암벽장 1
 
1.6%
테니스+배드민턴+족구+농구+그라운드골프 1
 
1.6%
론볼장 1
 
1.6%
Other values (36) 36
56.2%
2024-03-15T09:07:31.688713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 60
 
13.6%
+ 27
 
6.1%
구 23
 
5.2%
15
 
3.4%
스 14
 
3.2%
육 13
 
2.9%
체 11
 
2.5%
축 10
 
2.3%
공 10
 
2.3%
볼 9
 
2.0%
Other values (99) 250
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
88.9%
Math Symbol 27
 
6.1%
Space Separator 15
 
3.4%
Other Punctuation 4
 
0.9%
Decimal Number 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 60
 
15.3%
구 23
 
5.9%
스 14
 
3.6%
육 13
 
3.3%
체 11
 
2.8%
축 10
 
2.5%
공 10
 
2.5%
볼 9
 
2.3%
테 9
 
2.3%
원 8
 
2.0%
Other values (93) 226
57.5%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
3 1
33.3%
1 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 27
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
88.9%
Common 49
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 60
 
15.3%
구 23
 
5.9%
스 14
 
3.6%
육 13
 
3.3%
체 11
 
2.8%
축 10
 
2.5%
공 10
 
2.5%
볼 9
 
2.3%
테 9
 
2.3%
원 8
 
2.0%
Other values (93) 226
57.5%
Common
ValueCountFrequency (%)
+ 27
55.1%
15
30.6%
/ 4
 
8.2%
2 1
 
2.0%
3 1
 
2.0%
1 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
88.9%
ASCII 49
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 60
 
15.3%
구 23
 
5.9%
스 14
 
3.6%
육 13
 
3.3%
체 11
 
2.8%
축 10
 
2.5%
공 10
 
2.5%
볼 9
 
2.3%
테 9
 
2.3%
원 8
 
2.0%
Other values (93) 226
57.5%
ASCII
ValueCountFrequency (%)
+ 27
55.1%
15
30.6%
/ 4
 
8.2%
2 1
 
2.0%
3 1
 
2.0%
1 1
 
2.0%

주소
Text

Distinct36
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-15T09:07:32.672893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length23.632653
Min length18

Characters and Unicode

Total characters1158
Distinct characters73
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

Unique31 ?
Unique (%)63.3%

Sample

1st row경기도 성남시 수정구 양지동 986번지(양지공원내)
2nd row경기도 성남시 중원구 성남동 2874번지(대원공원내)
3rd row경기도 성남시 중원구 금광1동 2449-1(황송공원)
4th row경기도 성남시 수정구 신흥2동 2344번지(희망대공원)
5th row경기도 성남시 분당구 수내동 119-1번지
ValueCountFrequency (%)
경기도 49
19.5%
성남시 49
19.5%
중원구 19
 
7.6%
분당구 19
 
7.6%
수정구 11
 
4.4%
성남동 8
 
3.2%
3110 7
 
2.8%
야탑동 6
 
2.4%
여수동 5
 
2.0%
수내동 4
 
1.6%
Other values (54) 74
29.5%
2024-03-15T09:07:34.002041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
17.4%
성 59
 
5.1%
남 57
 
4.9%
경 49
 
4.2%
도 49
 
4.2%
시 49
 
4.2%
기 49
 
4.2%
구 49
 
4.2%
동 49
 
4.2%
1 46
 
4.0%
Other values (63) 500
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 724
62.5%
Space Separator 202
 
17.4%
Decimal Number 180
 
15.5%
Dash Punctuation 16
 
1.4%
Close Punctuation 15
 
1.3%
Open Punctuation 15
 
1.3%
Other Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 59
 
8.1%
남 57
 
7.9%
경 49
 
6.8%
도 49
 
6.8%
시 49
 
6.8%
기 49
 
6.8%
구 49
 
6.8%
동 49
 
6.8%
원 39
 
5.4%
지 26
 
3.6%
Other values (48) 249
34.4%
Decimal Number
ValueCountFrequency (%)
1 46
25.6%
4 29
16.1%
2 26
14.4%
3 20
11.1%
5 13
 
7.2%
9 12
 
6.7%
8 10
 
5.6%
0 10
 
5.6%
6 8
 
4.4%
7 6
 
3.3%
Space Separator
ValueCountFrequency (%)
202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 724
62.5%
Common 434
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 59
 
8.1%
남 57
 
7.9%
경 49
 
6.8%
도 49
 
6.8%
시 49
 
6.8%
기 49
 
6.8%
구 49
 
6.8%
동 49
 
6.8%
원 39
 
5.4%
지 26
 
3.6%
Other values (48) 249
34.4%
Common
ValueCountFrequency (%)
202
46.5%
1 46
 
10.6%
4 29
 
6.7%
2 26
 
6.0%
3 20
 
4.6%
- 16
 
3.7%
) 15
 
3.5%
( 15
 
3.5%
5 13
 
3.0%
9 12
 
2.8%
Other values (5) 40
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 724
62.5%
ASCII 434
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
46.5%
1 46
 
10.6%
4 29
 
6.7%
2 26
 
6.0%
3 20
 
4.6%
- 16
 
3.7%
) 15
 
3.5%
( 15
 
3.5%
5 13
 
3.0%
9 12
 
2.8%
Other values (5) 40
 
9.2%
Hangul
ValueCountFrequency (%)
성 59
 
8.1%
남 57
 
7.9%
경 49
 
6.8%
도 49
 
6.8%
시 49
 
6.8%
기 49
 
6.8%
구 49
 
6.8%
동 49
 
6.8%
원 39
 
5.4%
지 26
 
3.6%
Other values (48) 249
34.4%

주소(도로명)
Text

MISSING 

Distinct15
Distinct (%)60.0%
Missing24
Missing (%)49.0%
Memory size520.0 B
2024-03-15T09:07:34.886359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length20.56
Min length10

Characters and Unicode

Total characters514
Distinct characters64
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)48.0%

Sample

1st row경기도 성남시 중원구 금빛로2번길 35 (금광동)
2nd row경기도 성남시 수정구 공원로370번길 26. (희망대공원) (신흥동)
3rd row경기도 성남시 분당구 발이봉북로 7 (수내동)
4th row경기도 성남시 수정구 단대로16번길 25 (단대동)
5th row분당구 분당수서로 519
ValueCountFrequency (%)
경기도 22
17.6%
성남시 22
17.6%
분당구 12
 
9.6%
중원구 9
 
7.2%
제일로 7
 
5.6%
60 7
 
5.6%
탄천로 4
 
3.2%
215 4
 
3.2%
수정구 3
 
2.4%
519 2
 
1.6%
Other values (32) 33
26.4%
2024-03-15T09:07:36.157569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
19.5%
로 24
 
4.7%
구 24
 
4.7%
성 23
 
4.5%
남 23
 
4.5%
기 22
 
4.3%
경 22
 
4.3%
시 22
 
4.3%
도 22
 
4.3%
당 15
 
2.9%
Other values (54) 217
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
63.4%
Space Separator 100
 
19.5%
Decimal Number 70
 
13.6%
Close Punctuation 8
 
1.6%
Open Punctuation 8
 
1.6%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 24
 
7.4%
구 24
 
7.4%
성 23
 
7.1%
남 23
 
7.1%
기 22
 
6.7%
경 22
 
6.7%
시 22
 
6.7%
도 22
 
6.7%
당 15
 
4.6%
분 15
 
4.6%
Other values (40) 114
35.0%
Decimal Number
ValueCountFrequency (%)
5 13
18.6%
6 12
17.1%
2 11
15.7%
0 10
14.3%
1 8
11.4%
3 6
8.6%
7 4
 
5.7%
9 3
 
4.3%
8 2
 
2.9%
4 1
 
1.4%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
63.4%
Common 188
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 24
 
7.4%
구 24
 
7.4%
성 23
 
7.1%
남 23
 
7.1%
기 22
 
6.7%
경 22
 
6.7%
시 22
 
6.7%
도 22
 
6.7%
당 15
 
4.6%
분 15
 
4.6%
Other values (40) 114
35.0%
Common
ValueCountFrequency (%)
100
53.2%
5 13
 
6.9%
6 12
 
6.4%
2 11
 
5.9%
0 10
 
5.3%
) 8
 
4.3%
1 8
 
4.3%
( 8
 
4.3%
3 6
 
3.2%
7 4
 
2.1%
Other values (4) 8
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
63.4%
ASCII 188
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
53.2%
5 13
 
6.9%
6 12
 
6.4%
2 11
 
5.9%
0 10
 
5.3%
) 8
 
4.3%
1 8
 
4.3%
( 8
 
4.3%
3 6
 
3.2%
7 4
 
2.1%
Other values (4) 8
 
4.3%
Hangul
ValueCountFrequency (%)
로 24
 
7.4%
구 24
 
7.4%
성 23
 
7.1%
남 23
 
7.1%
기 22
 
6.7%
경 22
 
6.7%
시 22
 
6.7%
도 22
 
6.7%
당 15
 
4.6%
분 15
 
4.6%
Other values (40) 114
35.0%

전화번호
Text

Distinct32
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-15T09:07:37.007025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.040816
Min length12

Characters and Unicode

Total characters590
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)51.0%

Sample

1st row031-731-2002
2nd row031-753-9722
3rd row031-733-8009
4th row031-734-2009
5th row031-717-4009
ValueCountFrequency (%)
031-727-9941 10
20.4%
031-722-0125 3
 
6.1%
031-739-6734 3
 
6.1%
031-731-2002 2
 
4.1%
031-739-6733 2
 
4.1%
031-8017-0908 2
 
4.1%
031-739-6709 2
 
4.1%
031-725-7170 1
 
2.0%
031-748-2007 1
 
2.0%
031-727-9900 1
 
2.0%
Other values (22) 22
44.9%
2024-03-15T09:07:38.275425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 98
16.6%
0 85
14.4%
1 85
14.4%
7 85
14.4%
3 76
12.9%
9 54
9.2%
2 42
7.1%
4 23
 
3.9%
5 17
 
2.9%
8 13
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 492
83.4%
Dash Punctuation 98
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
17.3%
1 85
17.3%
7 85
17.3%
3 76
15.4%
9 54
11.0%
2 42
8.5%
4 23
 
4.7%
5 17
 
3.5%
8 13
 
2.6%
6 12
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 590
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 98
16.6%
0 85
14.4%
1 85
14.4%
7 85
14.4%
3 76
12.9%
9 54
9.2%
2 42
7.1%
4 23
 
3.9%
5 17
 
2.9%
8 13
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 590
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 98
16.6%
0 85
14.4%
1 85
14.4%
7 85
14.4%
3 76
12.9%
9 54
9.2%
2 42
7.1%
4 23
 
3.9%
5 17
 
2.9%
8 13
 
2.2%

관리자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size520.0 B
성남도시개발공사
44 
성남시체육회
 
4
성남시청 체육진흥과
 
1

Length

Max length10
Median length8
Mean length7.877551
Min length6

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
성남도시개발공사 44
89.8%
성남시체육회 4
 
8.2%
성남시청 체육진흥과 1
 
2.0%

Length

2024-03-15T09:07:38.726000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:07:39.109659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성남도시개발공사 44
88.0%
성남시체육회 4
 
8.0%
성남시청 1
 
2.0%
체육진흥과 1
 
2.0%

준공일
Date

Distinct43
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size520.0 B
Minimum1985-08-15 00:00:00
Maximum2023-09-11 00:00:00
2024-03-15T09:07:39.493684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:07:39.936677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

부지면적
Text

MISSING 

Distinct35
Distinct (%)77.8%
Missing4
Missing (%)8.2%
Memory size520.0 B
2024-03-15T09:07:40.707449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length10
Min length4

Characters and Unicode

Total characters450
Distinct characters21
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)71.1%

Sample

1st row14.410㎡(4 359.03평)
2nd row3.624㎡(1.096.26평)
3rd row1.933.4㎡(584.73평)
4th row3.140㎡(949.85평)
5th row10.237.5㎡(3.096평)
ValueCountFrequency (%)
115,327.2㎡ 7
 
13.7%
117,141㎡ 4
 
7.8%
3.000㎡ 2
 
3.9%
525㎡(연면적 2
 
3.9%
2
 
3.9%
6825㎡ 1
 
2.0%
10,468.5㎡ 1
 
2.0%
1,233㎡ 1
 
2.0%
16464㎡ 1
 
2.0%
10.178㎡ 1
 
2.0%
Other values (29) 29
56.9%
2024-03-15T09:07:41.803453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 56
12.4%
. 47
10.4%
㎡ 47
10.4%
0 33
 
7.3%
2 30
 
6.7%
5 30
 
6.7%
3 27
 
6.0%
4 27
 
6.0%
7 25
 
5.6%
8 19
 
4.2%
Other values (11) 109
24.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 285
63.3%
Other Punctuation 66
 
14.7%
Other Symbol 47
 
10.4%
Other Letter 18
 
4.0%
Open Punctuation 14
 
3.1%
Close Punctuation 14
 
3.1%
Space Separator 6
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 56
19.6%
0 33
11.6%
2 30
10.5%
5 30
10.5%
3 27
9.5%
4 27
9.5%
7 25
8.8%
8 19
 
6.7%
6 19
 
6.7%
9 19
 
6.7%
Other Letter
ValueCountFrequency (%)
평 12
66.7%
연 2
 
11.1%
면 2
 
11.1%
적 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 47
71.2%
, 17
 
25.8%
: 2
 
3.0%
Other Symbol
ValueCountFrequency (%)
㎡ 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
96.0%
Hangul 18
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 56
13.0%
. 47
10.9%
㎡ 47
10.9%
0 33
 
7.6%
2 30
 
6.9%
5 30
 
6.9%
3 27
 
6.2%
4 27
 
6.2%
7 25
 
5.8%
8 19
 
4.4%
Other values (7) 91
21.1%
Hangul
ValueCountFrequency (%)
평 12
66.7%
연 2
 
11.1%
면 2
 
11.1%
적 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 385
85.6%
CJK Compat 47
 
10.4%
Hangul 18
 
4.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 56
14.5%
. 47
12.2%
0 33
8.6%
2 30
7.8%
5 30
7.8%
3 27
 
7.0%
4 27
 
7.0%
7 25
 
6.5%
8 19
 
4.9%
6 19
 
4.9%
Other values (6) 72
18.7%
CJK Compat
ValueCountFrequency (%)
㎡ 47
100.0%
Hangul
ValueCountFrequency (%)
평 12
66.7%
연 2
 
11.1%
면 2
 
11.1%
적 2
 
11.1%

경기장면적
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing28
Missing (%)57.1%
Memory size520.0 B
2024-03-15T09:07:42.609440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.7619048
Min length5

Characters and Unicode

Total characters205
Distinct characters19
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row11.282㎡(3.412.81평)
2nd row1.766.6㎡(534.4평)
3rd row1.933.4㎡(584.73평)
4th row1.846㎡(558.4평)
5th row4.405㎡(1.332.5평)
ValueCountFrequency (%)
11.282㎡(3.412.81평 1
 
4.5%
1.933.4㎡(584.73평 1
 
4.5%
9,853㎡ 1
 
4.5%
34,788㎡ 1
 
4.5%
17,738㎡ 1
 
4.5%
37,164㎡ 1
 
4.5%
64.04㎡ 1
 
4.5%
6,475.61㎡ 1
 
4.5%
636.82㎡ 1
 
4.5%
13,889.91㎡ 1
 
4.5%
Other values (12) 12
54.5%
2024-03-15T09:07:43.902263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 22
10.7%
1 21
10.2%
㎡ 21
10.2%
4 18
 
8.8%
3 18
 
8.8%
6 14
 
6.8%
8 14
 
6.8%
, 11
 
5.4%
9 10
 
4.9%
5 10
 
4.9%
Other values (9) 46
22.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
63.4%
Other Punctuation 33
 
16.1%
Other Symbol 21
 
10.2%
Open Punctuation 6
 
2.9%
Close Punctuation 6
 
2.9%
Other Letter 5
 
2.4%
Lowercase Letter 2
 
1.0%
Space Separator 1
 
0.5%
Math Symbol 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
16.2%
4 18
13.8%
3 18
13.8%
6 14
10.8%
8 14
10.8%
9 10
7.7%
5 10
7.7%
7 10
7.7%
2 9
6.9%
0 6
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 22
66.7%
, 11
33.3%
Other Symbol
ValueCountFrequency (%)
㎡ 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Letter
ValueCountFrequency (%)
평 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 198
96.6%
Hangul 5
 
2.4%
Latin 2
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 22
11.1%
1 21
10.6%
㎡ 21
10.6%
4 18
9.1%
3 18
9.1%
6 14
 
7.1%
8 14
 
7.1%
, 11
 
5.6%
9 10
 
5.1%
5 10
 
5.1%
Other values (7) 39
19.7%
Hangul
ValueCountFrequency (%)
평 5
100.0%
Latin
ValueCountFrequency (%)
m 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 178
86.8%
CJK Compat 21
 
10.2%
Hangul 5
 
2.4%
None 1
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 22
12.4%
1 21
11.8%
4 18
10.1%
3 18
10.1%
6 14
7.9%
8 14
7.9%
, 11
 
6.2%
9 10
 
5.6%
5 10
 
5.6%
7 10
 
5.6%
Other values (6) 30
16.9%
CJK Compat
ValueCountFrequency (%)
㎡ 21
100.0%
Hangul
ValueCountFrequency (%)
평 5
100.0%
None
ValueCountFrequency (%)
× 1
100.0%

시설2
Text

Distinct44
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-15T09:07:44.459710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length14.77551
Min length2

Characters and Unicode

Total characters724
Distinct characters120
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)81.6%

Sample

1st row코트수 : 12면(케미칼 : 12면)
2nd row코트수 : 3면(케미칼 : 3면)
3rd row코트수 : 3면(클레이 코트)
4th row코트수 : 2면(클레이 코트)
5th row코트수 : 6면(케미칼 코트)
ValueCountFrequency (%)
26
 
15.9%
1면 11
 
6.7%
2면 7
 
4.3%
코트수 5
 
3.0%
축구장 5
 
3.0%
수영장 4
 
2.4%
관리사 4
 
2.4%
1동 4
 
2.4%
25m 3
 
1.8%
규모 3
 
1.8%
Other values (73) 92
56.1%
2024-03-15T09:07:45.329355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
15.9%
1 45
 
6.2%
면 44
 
6.1%
장 35
 
4.8%
: 26
 
3.6%
m 23
 
3.2%
구 23
 
3.2%
2 21
 
2.9%
) 17
 
2.3%
( 17
 
2.3%
Other values (110) 358
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
50.4%
Decimal Number 125
 
17.3%
Space Separator 115
 
15.9%
Other Punctuation 39
 
5.4%
Lowercase Letter 29
 
4.0%
Close Punctuation 17
 
2.3%
Open Punctuation 17
 
2.3%
Math Symbol 10
 
1.4%
Uppercase Letter 5
 
0.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 44
 
12.1%
장 35
 
9.6%
구 23
 
6.3%
트 12
 
3.3%
인 12
 
3.3%
수 11
 
3.0%
코 9
 
2.5%
조 8
 
2.2%
레 8
 
2.2%
축 6
 
1.6%
Other values (80) 197
54.0%
Decimal Number
ValueCountFrequency (%)
1 45
36.0%
2 21
16.8%
5 15
 
12.0%
0 10
 
8.0%
3 9
 
7.2%
6 7
 
5.6%
4 6
 
4.8%
8 5
 
4.0%
9 4
 
3.2%
7 3
 
2.4%
Other Punctuation
ValueCountFrequency (%)
: 26
66.7%
, 9
 
23.1%
/ 2
 
5.1%
. 1
 
2.6%
* 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
X 1
20.0%
G 1
20.0%
A 1
20.0%
M 1
20.0%
E 1
20.0%
Math Symbol
ValueCountFrequency (%)
+ 8
80.0%
× 1
 
10.0%
~ 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
m 23
79.3%
x 6
 
20.7%
Space Separator
ValueCountFrequency (%)
115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
50.4%
Common 325
44.9%
Latin 34
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 44
 
12.1%
장 35
 
9.6%
구 23
 
6.3%
트 12
 
3.3%
인 12
 
3.3%
수 11
 
3.0%
코 9
 
2.5%
조 8
 
2.2%
레 8
 
2.2%
축 6
 
1.6%
Other values (80) 197
54.0%
Common
ValueCountFrequency (%)
115
35.4%
1 45
 
13.8%
: 26
 
8.0%
2 21
 
6.5%
) 17
 
5.2%
( 17
 
5.2%
5 15
 
4.6%
0 10
 
3.1%
, 9
 
2.8%
3 9
 
2.8%
Other values (13) 41
 
12.6%
Latin
ValueCountFrequency (%)
m 23
67.6%
x 6
 
17.6%
X 1
 
2.9%
G 1
 
2.9%
A 1
 
2.9%
M 1
 
2.9%
E 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
50.4%
ASCII 357
49.3%
CJK Compat 1
 
0.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
32.2%
1 45
 
12.6%
: 26
 
7.3%
m 23
 
6.4%
2 21
 
5.9%
) 17
 
4.8%
( 17
 
4.8%
5 15
 
4.2%
0 10
 
2.8%
, 9
 
2.5%
Other values (18) 59
16.5%
Hangul
ValueCountFrequency (%)
면 44
 
12.1%
장 35
 
9.6%
구 23
 
6.3%
트 12
 
3.3%
인 12
 
3.3%
수 11
 
3.0%
코 9
 
2.5%
조 8
 
2.2%
레 8
 
2.2%
축 6
 
1.6%
Other values (80) 197
54.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
None
ValueCountFrequency (%)
× 1
100.0%

시설3
Text

MISSING 

Distinct33
Distinct (%)86.8%
Missing11
Missing (%)22.4%
Memory size520.0 B
2024-03-15T09:07:45.935693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18.5
Mean length11.315789
Min length2

Characters and Unicode

Total characters430
Distinct characters98
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)73.7%

Sample

1st row관리사 : 지상2층 1동
2nd row관리사 : 지상1층 1동
3rd row관리사 : 지상1층 1동
4th row관리사 : 콘테이너 1동
5th row관리사 : 콘테이너 1동(24㎡)
ValueCountFrequency (%)
17
 
16.5%
1동 11
 
10.7%
관리사 9
 
8.7%
화장실 5
 
4.9%
시설현황 2
 
1.9%
음수대 2
 
1.9%
관리실 2
 
1.9%
배드민턴장 2
 
1.9%
콘테이너 2
 
1.9%
1개소 2
 
1.9%
Other values (42) 49
47.6%
2024-03-15T09:07:46.779524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
15.1%
1 28
 
6.5%
: 19
 
4.4%
장 17
 
4.0%
동 15
 
3.5%
2 13
 
3.0%
m 12
 
2.8%
리 12
 
2.8%
0 11
 
2.6%
관 11
 
2.6%
Other values (88) 227
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
53.7%
Decimal Number 73
 
17.0%
Space Separator 65
 
15.1%
Other Punctuation 26
 
6.0%
Lowercase Letter 16
 
3.7%
Close Punctuation 7
 
1.6%
Open Punctuation 7
 
1.6%
Math Symbol 2
 
0.5%
Uppercase Letter 2
 
0.5%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 17
 
7.4%
동 15
 
6.5%
리 12
 
5.2%
관 11
 
4.8%
실 10
 
4.3%
사 9
 
3.9%
대 7
 
3.0%
면 6
 
2.6%
화 6
 
2.6%
트 6
 
2.6%
Other values (67) 132
57.1%
Decimal Number
ValueCountFrequency (%)
1 28
38.4%
2 13
17.8%
0 11
 
15.1%
4 8
 
11.0%
8 5
 
6.8%
7 2
 
2.7%
5 2
 
2.7%
6 2
 
2.7%
9 1
 
1.4%
3 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
: 19
73.1%
. 4
 
15.4%
, 3
 
11.5%
Lowercase Letter
ValueCountFrequency (%)
m 12
75.0%
x 4
 
25.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
53.7%
Common 181
42.1%
Latin 18
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 17
 
7.4%
동 15
 
6.5%
리 12
 
5.2%
관 11
 
4.8%
실 10
 
4.3%
사 9
 
3.9%
대 7
 
3.0%
면 6
 
2.6%
화 6
 
2.6%
트 6
 
2.6%
Other values (67) 132
57.1%
Common
ValueCountFrequency (%)
65
35.9%
1 28
15.5%
: 19
 
10.5%
2 13
 
7.2%
0 11
 
6.1%
4 8
 
4.4%
) 7
 
3.9%
( 7
 
3.9%
8 5
 
2.8%
. 4
 
2.2%
Other values (8) 14
 
7.7%
Latin
ValueCountFrequency (%)
m 12
66.7%
x 4
 
22.2%
X 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
53.7%
ASCII 198
46.0%
CJK Compat 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
32.8%
1 28
14.1%
: 19
 
9.6%
2 13
 
6.6%
m 12
 
6.1%
0 11
 
5.6%
4 8
 
4.0%
) 7
 
3.5%
( 7
 
3.5%
8 5
 
2.5%
Other values (10) 23
 
11.6%
Hangul
ValueCountFrequency (%)
장 17
 
7.4%
동 15
 
6.5%
리 12
 
5.2%
관 11
 
4.8%
실 10
 
4.3%
사 9
 
3.9%
대 7
 
3.0%
면 6
 
2.6%
화 6
 
2.6%
트 6
 
2.6%
Other values (67) 132
57.1%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

시설4
Text

MISSING 

Distinct20
Distinct (%)83.3%
Missing25
Missing (%)51.0%
Memory size520.0 B
2024-03-15T09:07:47.441434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.2916667
Min length3

Characters and Unicode

Total characters199
Distinct characters71
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)66.7%

Sample

1st row과녁 : 3개
2nd row이동화장실 : 1식
3rd row화장실 : 1개소
4th row의자10개
5th row화장실 : 1개소
ValueCountFrequency (%)
7
 
13.0%
화장실 4
 
7.4%
1개소 4
 
7.4%
이동화장실 2
 
3.7%
1식 2
 
3.7%
샤워실 2
 
3.7%
샤워실(남 2
 
3.7%
여 2
 
3.7%
헬스장 2
 
3.7%
1동 2
 
3.7%
Other values (25) 25
46.3%
2024-03-15T09:07:48.318959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
15.1%
1 14
 
7.0%
장 12
 
6.0%
실 11
 
5.5%
: 7
 
3.5%
화 6
 
3.0%
개 6
 
3.0%
스 5
 
2.5%
면 5
 
2.5%
( 4
 
2.0%
Other values (61) 99
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
58.8%
Space Separator 30
 
15.1%
Decimal Number 30
 
15.1%
Other Punctuation 9
 
4.5%
Open Punctuation 4
 
2.0%
Close Punctuation 4
 
2.0%
Lowercase Letter 3
 
1.5%
Other Symbol 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 12
 
10.3%
실 11
 
9.4%
화 6
 
5.1%
개 6
 
5.1%
스 5
 
4.3%
면 5
 
4.3%
동 4
 
3.4%
이 4
 
3.4%
샤 4
 
3.4%
소 4
 
3.4%
Other values (44) 56
47.9%
Decimal Number
ValueCountFrequency (%)
1 14
46.7%
2 4
 
13.3%
0 3
 
10.0%
4 2
 
6.7%
3 2
 
6.7%
9 2
 
6.7%
5 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
: 7
77.8%
, 2
 
22.2%
Lowercase Letter
ValueCountFrequency (%)
m 2
66.7%
x 1
33.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
58.8%
Common 79
39.7%
Latin 3
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 12
 
10.3%
실 11
 
9.4%
화 6
 
5.1%
개 6
 
5.1%
스 5
 
4.3%
면 5
 
4.3%
동 4
 
3.4%
이 4
 
3.4%
샤 4
 
3.4%
소 4
 
3.4%
Other values (44) 56
47.9%
Common
ValueCountFrequency (%)
30
38.0%
1 14
17.7%
: 7
 
8.9%
( 4
 
5.1%
2 4
 
5.1%
) 4
 
5.1%
0 3
 
3.8%
, 2
 
2.5%
㎡ 2
 
2.5%
4 2
 
2.5%
Other values (5) 7
 
8.9%
Latin
ValueCountFrequency (%)
m 2
66.7%
x 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
58.8%
ASCII 80
40.2%
CJK Compat 2
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
37.5%
1 14
17.5%
: 7
 
8.8%
( 4
 
5.0%
2 4
 
5.0%
) 4
 
5.0%
0 3
 
3.8%
, 2
 
2.5%
m 2
 
2.5%
4 2
 
2.5%
Other values (6) 8
 
10.0%
Hangul
ValueCountFrequency (%)
장 12
 
10.3%
실 11
 
9.4%
화 6
 
5.1%
개 6
 
5.1%
스 5
 
4.3%
면 5
 
4.3%
동 4
 
3.4%
이 4
 
3.4%
샤 4
 
3.4%
소 4
 
3.4%
Other values (44) 56
47.9%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

시설5
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing30
Missing (%)61.2%
Memory size520.0 B
2024-03-15T09:07:48.909554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.4210526
Min length2

Characters and Unicode

Total characters141
Distinct characters60
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)89.5%

Sample

1st row사대 : 10개
2nd row의자 20개
3rd row샤워실 : 1개소
4th row샤워실 : 1개소
5th row조명탑 : 6개
ValueCountFrequency (%)
5
 
13.9%
샤워실 2
 
5.6%
1개소 2
 
5.6%
gx룸 2
 
5.6%
조명탑 2
 
5.6%
관리동 1
 
2.8%
락카품 1
 
2.8%
245㎡ 1
 
2.8%
34mx24m 1
 
2.8%
다목적체육관 1
 
2.8%
Other values (18) 18
50.0%
2024-03-15T09:07:50.128811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
12.1%
실 7
 
5.0%
1 7
 
5.0%
개 7
 
5.0%
4 5
 
3.5%
: 5
 
3.5%
m 4
 
2.8%
장 4
 
2.8%
2 4
 
2.8%
0 3
 
2.1%
Other values (50) 78
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
53.9%
Decimal Number 26
 
18.4%
Space Separator 17
 
12.1%
Other Punctuation 6
 
4.3%
Lowercase Letter 6
 
4.3%
Uppercase Letter 4
 
2.8%
Open Punctuation 2
 
1.4%
Close Punctuation 2
 
1.4%
Other Symbol 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 7
 
9.2%
개 7
 
9.2%
장 4
 
5.3%
소 3
 
3.9%
면 3
 
3.9%
관 3
 
3.9%
대 2
 
2.6%
워 2
 
2.6%
샤 2
 
2.6%
리 2
 
2.6%
Other values (32) 41
53.9%
Decimal Number
ValueCountFrequency (%)
1 7
26.9%
4 5
19.2%
2 4
15.4%
0 3
11.5%
5 2
 
7.7%
6 2
 
7.7%
3 2
 
7.7%
8 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
: 5
83.3%
. 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
m 4
66.7%
x 2
33.3%
Uppercase Letter
ValueCountFrequency (%)
G 2
50.0%
X 2
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
53.9%
Common 55
39.0%
Latin 10
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 7
 
9.2%
개 7
 
9.2%
장 4
 
5.3%
소 3
 
3.9%
면 3
 
3.9%
관 3
 
3.9%
대 2
 
2.6%
워 2
 
2.6%
샤 2
 
2.6%
리 2
 
2.6%
Other values (32) 41
53.9%
Common
ValueCountFrequency (%)
17
30.9%
1 7
12.7%
4 5
 
9.1%
: 5
 
9.1%
2 4
 
7.3%
0 3
 
5.5%
( 2
 
3.6%
) 2
 
3.6%
5 2
 
3.6%
6 2
 
3.6%
Other values (4) 6
 
10.9%
Latin
ValueCountFrequency (%)
m 4
40.0%
G 2
20.0%
X 2
20.0%
x 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
53.9%
ASCII 63
44.7%
CJK Compat 2
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
27.0%
1 7
11.1%
4 5
 
7.9%
: 5
 
7.9%
m 4
 
6.3%
2 4
 
6.3%
0 3
 
4.8%
G 2
 
3.2%
( 2
 
3.2%
) 2
 
3.2%
Other values (7) 12
19.0%
Hangul
ValueCountFrequency (%)
실 7
 
9.2%
개 7
 
9.2%
장 4
 
5.3%
소 3
 
3.9%
면 3
 
3.9%
관 3
 
3.9%
대 2
 
2.6%
워 2
 
2.6%
샤 2
 
2.6%
리 2
 
2.6%
Other values (32) 41
53.9%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

시설6
Text

MISSING 

Distinct11
Distinct (%)91.7%
Missing37
Missing (%)75.5%
Memory size520.0 B
2024-03-15T09:07:50.777623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length10.5
Min length3

Characters and Unicode

Total characters126
Distinct characters61
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)83.3%

Sample

1st row주차장 : 70면
2nd row주차장 : 252면(장애인 6)
3rd row부대시설 : 샤워장 1동(18㎡)
4th row조명탑:4개
5th row창고 : 1개소
ValueCountFrequency (%)
5
17.9%
조명탑:4개 2
 
7.1%
주차장 2
 
7.1%
6개 1
 
3.6%
100㎡ 1
 
3.6%
인공암벽장 1
 
3.6%
903㎡ 1
 
3.6%
게이트볼장 1
 
3.6%
555㎡ 1
 
3.6%
헬스클럽 1
 
3.6%
Other values (12) 12
42.9%
2024-03-15T09:07:51.504652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
12.7%
: 7
 
5.6%
1 6
 
4.8%
개 6
 
4.8%
장 6
 
4.8%
0 4
 
3.2%
㎡ 4
 
3.2%
5 4
 
3.2%
조 3
 
2.4%
9 3
 
2.4%
Other values (51) 67
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
47.6%
Decimal Number 27
21.4%
Space Separator 16
 
12.7%
Other Punctuation 9
 
7.1%
Lowercase Letter 5
 
4.0%
Other Symbol 4
 
3.2%
Close Punctuation 2
 
1.6%
Open Punctuation 2
 
1.6%
Math Symbol 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 6
 
10.0%
장 6
 
10.0%
조 3
 
5.0%
명 3
 
5.0%
탑 3
 
5.0%
동 2
 
3.3%
면 2
 
3.3%
주 2
 
3.3%
인 2
 
3.3%
차 2
 
3.3%
Other values (29) 29
48.3%
Decimal Number
ValueCountFrequency (%)
1 6
22.2%
0 4
14.8%
5 4
14.8%
9 3
11.1%
7 2
 
7.4%
4 2
 
7.4%
6 2
 
7.4%
2 2
 
7.4%
3 1
 
3.7%
8 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
40.0%
v 1
20.0%
t 1
20.0%
m 1
20.0%
Other Punctuation
ValueCountFrequency (%)
: 7
77.8%
/ 1
 
11.1%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61
48.4%
Hangul 60
47.6%
Latin 5
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 6
 
10.0%
장 6
 
10.0%
조 3
 
5.0%
명 3
 
5.0%
탑 3
 
5.0%
동 2
 
3.3%
면 2
 
3.3%
주 2
 
3.3%
인 2
 
3.3%
차 2
 
3.3%
Other values (29) 29
48.3%
Common
ValueCountFrequency (%)
16
26.2%
: 7
11.5%
1 6
 
9.8%
0 4
 
6.6%
㎡ 4
 
6.6%
5 4
 
6.6%
9 3
 
4.9%
7 2
 
3.3%
) 2
 
3.3%
4 2
 
3.3%
Other values (8) 11
18.0%
Latin
ValueCountFrequency (%)
c 2
40.0%
v 1
20.0%
t 1
20.0%
m 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62
49.2%
Hangul 60
47.6%
CJK Compat 4
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
25.8%
: 7
11.3%
1 6
 
9.7%
0 4
 
6.5%
5 4
 
6.5%
9 3
 
4.8%
7 2
 
3.2%
) 2
 
3.2%
4 2
 
3.2%
( 2
 
3.2%
Other values (11) 14
22.6%
Hangul
ValueCountFrequency (%)
개 6
 
10.0%
장 6
 
10.0%
조 3
 
5.0%
명 3
 
5.0%
탑 3
 
5.0%
동 2
 
3.3%
면 2
 
3.3%
주 2
 
3.3%
인 2
 
3.3%
차 2
 
3.3%
Other values (29) 29
48.3%
CJK Compat
ValueCountFrequency (%)
㎡ 4
100.0%

시설7
Text

MISSING 

Distinct12
Distinct (%)70.6%
Missing32
Missing (%)65.3%
Memory size520.0 B
2024-03-15T09:07:52.142325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.1764706
Min length3

Characters and Unicode

Total characters139
Distinct characters45
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)58.8%

Sample

1st row조명탑 : 22개
2nd row조명탑 : 4개
3rd row조명탑 : 4개
4th row조명탑 : 3개
5th row조명탑 : 8개
ValueCountFrequency (%)
6
14.6%
주차장 5
 
12.2%
조명탑 5
 
12.2%
4개 4
 
9.8%
8개 2
 
4.9%
용품점 1
 
2.4%
2개 1
 
2.4%
조명 1
 
2.4%
10개 1
 
2.4%
등 1
 
2.4%
Other values (14) 14
34.1%
2024-03-15T09:07:53.217774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
17.3%
개 13
 
9.4%
조 8
 
5.8%
명 8
 
5.8%
장 6
 
4.3%
: 6
 
4.3%
2 6
 
4.3%
주 5
 
3.6%
차 5
 
3.6%
등 5
 
3.6%
Other values (35) 53
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
58.3%
Space Separator 24
 
17.3%
Decimal Number 21
 
15.1%
Other Punctuation 8
 
5.8%
Math Symbol 2
 
1.4%
Close Punctuation 1
 
0.7%
Other Symbol 1
 
0.7%
Open Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 13
16.0%
조 8
 
9.9%
명 8
 
9.9%
장 6
 
7.4%
주 5
 
6.2%
차 5
 
6.2%
등 5
 
6.2%
탑 5
 
6.2%
로 3
 
3.7%
가 3
 
3.7%
Other values (20) 20
24.7%
Decimal Number
ValueCountFrequency (%)
2 6
28.6%
4 4
19.0%
8 3
14.3%
9 2
 
9.5%
0 2
 
9.5%
1 2
 
9.5%
3 1
 
4.8%
5 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
: 6
75.0%
, 2
 
25.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
58.3%
Common 58
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 13
16.0%
조 8
 
9.9%
명 8
 
9.9%
장 6
 
7.4%
주 5
 
6.2%
차 5
 
6.2%
등 5
 
6.2%
탑 5
 
6.2%
로 3
 
3.7%
가 3
 
3.7%
Other values (20) 20
24.7%
Common
ValueCountFrequency (%)
24
41.4%
: 6
 
10.3%
2 6
 
10.3%
4 4
 
6.9%
8 3
 
5.2%
+ 2
 
3.4%
9 2
 
3.4%
0 2
 
3.4%
1 2
 
3.4%
, 2
 
3.4%
Other values (5) 5
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
58.3%
ASCII 57
41.0%
CJK Compat 1
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
42.1%
: 6
 
10.5%
2 6
 
10.5%
4 4
 
7.0%
8 3
 
5.3%
+ 2
 
3.5%
9 2
 
3.5%
0 2
 
3.5%
1 2
 
3.5%
, 2
 
3.5%
Other values (4) 4
 
7.0%
Hangul
ValueCountFrequency (%)
개 13
16.0%
조 8
 
9.9%
명 8
 
9.9%
장 6
 
7.4%
주 5
 
6.2%
차 5
 
6.2%
등 5
 
6.2%
탑 5
 
6.2%
로 3
 
3.7%
가 3
 
3.7%
Other values (20) 20
24.7%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

협약기간
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-01-01~2026-12-31
29 
2023-01-01~2025-01-01
7 
2021-06-17~2024-06-16
4 
2024-01-01~2025-12-31
4 
2023-10-01~2026-09-30
 
2
Other values (3)
3 

Length

Max length21
Median length21
Mean length20.653061
Min length4

Unique

Unique3 ?
Unique (%)6.1%

Sample

1st row2024-01-01~2026-12-31
2nd row2024-01-01~2026-12-31
3rd row2024-01-01~2026-12-31
4th row2024-01-01~2026-12-31
5th row2024-01-01~2026-12-31

Common Values

ValueCountFrequency (%)
2024-01-01~2026-12-31 29
59.2%
2023-01-01~2025-01-01 7
 
14.3%
2021-06-17~2024-06-16 4
 
8.2%
2024-01-01~2025-12-31 4
 
8.2%
2023-10-01~2026-09-30 2
 
4.1%
2022-01-01~2024-12-31 1
 
2.0%
<NA> 1
 
2.0%
2023-04-01~2026-03-31 1
 
2.0%

Length

2024-03-15T09:07:53.638929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:07:53.987932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-01~2026-12-31 29
59.2%
2023-01-01~2025-01-01 7
 
14.3%
2021-06-17~2024-06-16 4
 
8.2%
2024-01-01~2025-12-31 4
 
8.2%
2023-10-01~2026-09-30 2
 
4.1%
2022-01-01~2024-12-31 1
 
2.0%
na 1
 
2.0%
2023-04-01~2026-03-31 1
 
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-02-28
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-28
2nd row2024-02-28
3rd row2024-02-28
4th row2024-02-28
5th row2024-02-28

Common Values

ValueCountFrequency (%)
2024-02-28 49
100.0%

Length

2024-03-15T09:07:54.399071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:07:54.747410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-28 49
100.0%

Correlations

2024-03-15T09:07:55.025198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명1시설명2주소주소(도로명)전화번호관리자준공일부지면적경기장면적시설2시설3시설4시설5시설6시설7협약기간
시설명11.0000.0000.9010.7350.9550.9530.9770.0001.0000.9020.9690.9371.0000.8490.0000.998
시설명20.0001.0000.5870.9900.0000.0000.8720.8081.0000.9540.9690.9520.9340.9801.0000.872
주소0.9010.5871.0001.0000.9601.0000.9970.9981.0000.0000.8800.0000.9181.0001.0001.000
주소(도로명)0.7350.9901.0001.0000.981NaN1.0001.0001.0000.0000.9830.7781.0001.0001.0001.000
전화번호0.9550.0000.9600.9811.0001.0000.9630.9491.0000.9590.9470.9830.9900.9800.9471.000
관리자0.9530.0001.000NaN1.0001.0001.0000.9531.0001.0000.0000.3700.0000.0000.0001.000
준공일0.9770.8720.9971.0000.9631.0001.0000.9791.0000.9500.9670.9381.0001.0001.0001.000
부지면적0.0000.8080.9981.0000.9490.9530.9791.0001.0000.0000.9230.7970.9341.0001.0000.993
경기장면적1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설20.9020.9540.0000.0000.9591.0000.9500.0001.0001.0000.9510.9730.9340.9561.0000.000
시설30.9690.9690.8800.9830.9470.0000.9670.9231.0000.9511.0000.9830.9630.9801.0000.921
시설40.9370.9520.0000.7780.9830.3700.9380.7971.0000.9730.9831.0001.0000.9700.4900.715
시설51.0000.9340.9181.0000.9900.0001.0000.9341.0000.9340.9631.0001.0001.0000.0000.942
시설60.8490.9801.0001.0000.9800.0001.0001.0001.0000.9560.9800.9701.0001.0000.8950.693
시설70.0001.0001.0001.0000.9470.0001.0001.0001.0001.0001.0000.4900.0000.8951.0000.479
협약기간0.9980.8721.0001.0001.0001.0001.0000.9931.0000.0000.9210.7150.9420.6930.4791.000
2024-03-15T09:07:55.406703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리자협약기간
관리자1.0000.944
협약기간0.9441.000
2024-03-15T09:07:55.657901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리자협약기간
관리자1.0000.944
협약기간0.9441.000

Missing values

2024-03-15T09:07:26.568939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:07:26.961977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-15T09:07:27.387719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시설명1시설명2주소주소(도로명)전화번호관리자준공일부지면적경기장면적시설2시설3시설4시설5시설6시설7협약기간데이터기준일자
0시립테니스장양지테니스장경기도 성남시 수정구 양지동 986번지(양지공원내)<NA>031-731-2002성남도시개발공사1995-09-0414.410㎡(4 359.03평)11.282㎡(3.412.81평)코트수 : 12면(케미칼 : 12면)관리사 : 지상2층 1동<NA><NA>주차장 : 70면조명탑 : 22개2024-01-01~2026-12-312024-02-28
1시립테니스장대원테니스장경기도 성남시 중원구 성남동 2874번지(대원공원내)<NA>031-753-9722성남도시개발공사1997-12-203.624㎡(1.096.26평)1.766.6㎡(534.4평)코트수 : 3면(케미칼 : 3면)관리사 : 지상1층 1동<NA><NA>주차장 : 252면(장애인 6)조명탑 : 4개2024-01-01~2026-12-312024-02-28
2시립테니스장황송테니스장경기도 성남시 중원구 금광1동 2449-1(황송공원)경기도 성남시 중원구 금빛로2번길 35 (금광동)031-733-8009성남도시개발공사1998-06-041.933.4㎡(584.73평)1.933.4㎡(584.73평)코트수 : 3면(클레이 코트)관리사 : 지상1층 1동<NA><NA><NA>조명탑 : 4개2024-01-01~2026-12-312024-02-28
3시립테니스장희망대테니스장경기도 성남시 수정구 신흥2동 2344번지(희망대공원)경기도 성남시 수정구 공원로370번길 26. (희망대공원) (신흥동)031-734-2009성남도시개발공사1985-08-153.140㎡(949.85평)1.846㎡(558.4평)코트수 : 2면(클레이 코트)관리사 : 콘테이너 1동<NA><NA><NA>조명탑 : 3개2024-01-01~2026-12-312024-02-28
4시립테니스장수내테니스장경기도 성남시 분당구 수내동 119-1번지경기도 성남시 분당구 발이봉북로 7 (수내동)031-717-4009성남도시개발공사2004-05-2810.237.5㎡(3.096평)4.405㎡(1.332.5평)코트수 : 6면(케미칼 코트)관리사 : 콘테이너 1동(24㎡)<NA><NA>부대시설 : 샤워장 1동(18㎡)조명탑 : 8개2024-01-01~2026-12-312024-02-28
5게이트볼장단대공원 게이트볼장경기도 성남시 수정구 단대동 196번지경기도 성남시 수정구 단대로16번길 25 (단대동)031-727-9941성남도시개발공사2004-05-24525㎡(연면적 : 494.71㎡)<NA>층수 1층(구조 : 경량판넬 철골조)시설현황 : 게이트볼장 1면. 휴게실<NA><NA><NA><NA>2024-01-01~2026-12-312024-02-28
6게이트볼장황송공원 게이트볼장경기도 성남시 중원구 금광동 2471번지<NA>031-727-9941성남도시개발공사2004-05-24525㎡(연면적 : 478㎡)<NA>층수 1층(구조 : 경량판넬 철골조)시설현황 : 게이트볼장 1면. 휴게실<NA><NA><NA><NA>2024-01-01~2026-12-312024-02-28
7야구장백현야구장경기도 성남시 분당구 정자동 1번지분당구 분당수서로 519031-8017-0908성남도시개발공사2008-04-179.998㎡<NA>관리사 : 1동부대시설 : 화장실 1동<NA><NA><NA><NA>2024-01-01~2026-12-312024-02-28
8야구장리틀야구장경기도 성남시 분당구 정자동 2번지분당구 분당수서로 519031-8017-0908성남도시개발공사2013-09-253.380㎡<NA>마사토구장 : 1개소그늘벤치 : 2개<NA><NA><NA><NA>2024-01-01~2026-12-312024-02-28
9국궁장분당정경기도 성남시 분당구 율동 84번지경기도 성남시 분당구 만세길 36031-701-1911성남도시개발공사1999-04-286.750㎡(2.044평)<NA>관리사 : 1동 400㎡시위거리 : 145m과녁 : 3개사대 : 10개<NA><NA>2024-01-01~2026-12-312024-02-28
시설명1시설명2주소주소(도로명)전화번호관리자준공일부지면적경기장면적시설2시설3시설4시설5시설6시설7협약기간데이터기준일자
39성남종합운동장 인공암벽장인공암벽장경기도 성남시 중원구 성남동 3110경기도 성남시 중원구 제일로 60031-739-6709성남도시개발공사2000-02-09115,327.2㎡64.04㎡스포츠 클라이밍 4면<NA><NA><NA><NA><NA>2023-01-01~2025-01-012024-02-28
40탄천종합운동장 주경기장축구장 및 육상경기장경기도 성남시 분당구 야탑동 486경기도 성남시 분당구 탄천로 215031-725-7196성남도시개발공사2001-11-30117,141㎡37,164㎡축구장 1면(109mx72m)육상트랙 400mX8레인<NA><NA><NA><NA>2024-01-01~2025-12-312024-02-28
41탄천종합운동장 보조경기장야구장경기도 성남시 분당구 야탑동 486경기도 성남시 분당구 탄천로 215031-725-7191성남도시개발공사2001-11-30117,141㎡17,738㎡야구장 1면<NA><NA><NA><NA><NA>2024-01-01~2025-12-312024-02-28
42탄천종합운동장 체육회관수영장+빙상장+다목적체육관+에어로빅장+스쿼시/라켓볼경기도 성남시 분당구 야탑동 486경기도 성남시 분당구 탄천로 215031-725-7100성남도시개발공사2001-11-30117,141㎡34,788㎡수영장 25m 6레인, 15m 3레인빙상장 27mx40m스쿼시 7면, 라켓볼 2면다목적체육관 34mx24m헬스클럽 555㎡에어로빅장 289㎡2024-01-01~2025-12-312024-02-28
43탄촌종합운동장 탄천스포츠센터볼링장+골프연습장+테니스장경기도 성남시 분당구 야탑동 486경기도 성남시 분당구 탄천로 215031-725-7170성남도시개발공사2001-11-30117,141㎡9,991㎡볼링장 36레인골프연습장(연습타석 10, 스크린 2)테니스장 4면<NA><NA><NA>2024-01-01~2025-12-312024-02-28
44단대근린공원 다목적구장단대근린공원 다목적구장경기도 성남시 수정구 산성동 2155경기도 성남시 수정구 수정남로268번길 25(산성동)031-727-9946성남도시개발공사2022-08-24<NA><NA>체육강당 2면, 잔디마당, 산책트랙, 다목적코트관리실샤워실<NA><NA>조명등 8개, 볼라드 등 10개2024-01-01~2026-12-312024-02-28
45여수지하차도 상부 체육시설여수지하차도 상부 체육시설경기도 성남시 중원구 여수동 265-13번지 일원<NA>031-727-9947성남도시개발공사2023-04-2110,468.5㎡<NA>족구장 2면, 론볼장 1면, 그라운드골프장 1면관리실 1개소화장실 1개소<NA><NA><NA>2024-01-01~2026-12-312024-02-28
46시청공원 저류지 체육시설시청공원 저류지 체육시설경기도 성남시 중원구 여수동 159번지<NA>031-727-9941성남도시개발공사2021-09-162,971㎡<NA>배드민턴장 4면, 농구장 2면<NA><NA><NA><NA>조명 2개, 가로등 4개2024-01-01~2026-12-312024-02-28
47황새울국민체육센터수영장+다목적체육관+헬스장+요가/필라테스+게이트볼장경기도 성남시 분당구 수내동 43경기도 성남시 분당구 황새울로 273031-727-9900성남도시개발공사2020-04-0737,957㎡<NA>수영장 25m 5레인배드민턴장 6코트, 농구대 2대헬스장 349㎡GX룸 245㎡게이트볼장 903㎡주차장2023-04-01~2026-03-312024-02-28
48금곡공원국민체육센터수영장+다목적체육관+헬스장+요가/필라테스+인공암벽장경기도 성남시 분당구 정자동 183-1경기도 성남시 분당구 금곡로 302031-727-9981성남도시개발공사2023-09-1118,148.5㎡<NA>수영장 25m 5레인배드민턴장 3코트, 탁구대 10대헬스장 198㎡GX룸 240㎡인공암벽장 100㎡ / 11.9m주차장2023-10-01~2026-09-302024-02-28