Overview

Dataset statistics

Number of variables5
Number of observations353
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description서울올림픽기념국민체육진흥공단에서 다양한 스포츠용품 대상으로 품질, 규격 운동기능 및 생산공정 등을 평가하여 KISS인증 마크를 부여하는 KISS 스포츠용품 인증실적(업체명, 품목, 모델명, 유효기간) 정보를 제공합니다.(2019~2023년)
Author서울올림픽기념국민체육진흥공단
URLhttps://www.data.go.kr/data/15044468/fileData.do

Alerts

구분 is highly overall correlated with 유효기간High correlation
유효기간 is highly overall correlated with 구분High correlation
구분 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:37:36.737890
Analysis finished2024-03-14 09:37:38.315749
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct353
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177
Minimum1
Maximum353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-03-14T18:37:38.525523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.6
Q189
median177
Q3265
95-th percentile335.4
Maximum353
Range352
Interquartile range (IQR)176

Descriptive statistics

Standard deviation102.04656
Coefficient of variation (CV)0.57653423
Kurtosis-1.2
Mean177
Median Absolute Deviation (MAD)88
Skewness0
Sum62481
Variance10413.5
MonotonicityStrictly increasing
2024-03-14T18:37:38.968165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
266 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
Other values (343) 343
97.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%

업체명
Text

Distinct141
Distinct (%)40.1%
Missing1
Missing (%)0.3%
Memory size2.9 KiB
2024-03-14T18:37:40.048372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length7.0482955
Min length3

Characters and Unicode

Total characters2481
Distinct characters179
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

Unique61 ?
Unique (%)17.3%

Sample

1st row홍인터내셔날
2nd row코리아우드
3rd row코리아우드
4th row㈜에이비텍
5th row㈜한백아이디
ValueCountFrequency (%)
주식회사 106
 
21.9%
에스디알 20
 
4.1%
골프 20
 
4.1%
㈜낫소 15
 
3.1%
대원그린 10
 
2.1%
대성산업 10
 
2.1%
필드글로벌 8
 
1.7%
㈜피닉스다트 8
 
1.7%
㈜볼빅 8
 
1.7%
코리아우드 8
 
1.7%
Other values (130) 270
55.9%
2024-03-14T18:37:41.441734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 146
 
5.9%
㈜ 140
 
5.6%
131
 
5.3%
사 113
 
4.6%
회 112
 
4.5%
식 112
 
4.5%
스 93
 
3.7%
이 79
 
3.2%
에 51
 
2.1%
디 47
 
1.9%
Other values (169) 1457
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2107
84.9%
Other Symbol 140
 
5.6%
Space Separator 131
 
5.3%
Open Punctuation 36
 
1.5%
Close Punctuation 36
 
1.5%
Lowercase Letter 18
 
0.7%
Uppercase Letter 11
 
0.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 146
 
6.9%
사 113
 
5.4%
회 112
 
5.3%
식 112
 
5.3%
스 93
 
4.4%
이 79
 
3.7%
에 51
 
2.4%
디 47
 
2.2%
코 44
 
2.1%
아 42
 
2.0%
Other values (152) 1268
60.2%
Lowercase Letter
ValueCountFrequency (%)
s 4
22.2%
e 4
22.2%
i 2
11.1%
a 2
11.1%
r 2
11.1%
y 2
11.1%
b 2
11.1%
Uppercase Letter
ValueCountFrequency (%)
P 4
36.4%
O 4
36.4%
H 1
 
9.1%
J 1
 
9.1%
C 1
 
9.1%
Other Symbol
ValueCountFrequency (%)
㈜ 140
100.0%
Space Separator
ValueCountFrequency (%)
131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2247
90.6%
Common 205
 
8.3%
Latin 29
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 146
 
6.5%
㈜ 140
 
6.2%
사 113
 
5.0%
회 112
 
5.0%
식 112
 
5.0%
스 93
 
4.1%
이 79
 
3.5%
에 51
 
2.3%
디 47
 
2.1%
코 44
 
2.0%
Other values (153) 1310
58.3%
Latin
ValueCountFrequency (%)
P 4
13.8%
s 4
13.8%
e 4
13.8%
O 4
13.8%
i 2
6.9%
a 2
6.9%
r 2
6.9%
y 2
6.9%
b 2
6.9%
H 1
 
3.4%
Other values (2) 2
6.9%
Common
ValueCountFrequency (%)
131
63.9%
( 36
 
17.6%
) 36
 
17.6%
& 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2107
84.9%
ASCII 234
 
9.4%
None 140
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 146
 
6.9%
사 113
 
5.4%
회 112
 
5.3%
식 112
 
5.3%
스 93
 
4.4%
이 79
 
3.7%
에 51
 
2.4%
디 47
 
2.2%
코 44
 
2.1%
아 42
 
2.0%
Other values (152) 1268
60.2%
None
ValueCountFrequency (%)
㈜ 140
100.0%
ASCII
ValueCountFrequency (%)
131
56.0%
( 36
 
15.4%
) 36
 
15.4%
P 4
 
1.7%
s 4
 
1.7%
e 4
 
1.7%
O 4
 
1.7%
i 2
 
0.9%
a 2
 
0.9%
r 2
 
0.9%
Other values (6) 9
 
3.8%

품목
Text

Distinct87
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-14T18:37:42.167564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length7.7082153
Min length2

Characters and Unicode

Total characters2721
Distinct characters221
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)16.4%

Sample

1st row다트
2nd row실내체육관바닥재
3rd row실내체육관바닥재
4th row실내체육관바닥재
5th row실내체육관바닥재
ValueCountFrequency (%)
실내체육관바닥재 131
27.6%
인조잔디 54
 
11.4%
실리콘 20
 
4.2%
헤드 20
 
4.2%
테니스공 11
 
2.3%
자전거 10
 
2.1%
패러글라이더 10
 
2.1%
다트 8
 
1.7%
골프공 8
 
1.7%
야구공 7
 
1.5%
Other values (112) 195
41.1%
2024-03-14T18:37:43.169881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
실 154
 
5.7%
바 136
 
5.0%
내 134
 
4.9%
육 132
 
4.9%
관 132
 
4.9%
재 132
 
4.9%
체 131
 
4.8%
닥 131
 
4.8%
121
 
4.4%
디 57
 
2.1%
Other values (211) 1461
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2221
81.6%
Uppercase Letter 162
 
6.0%
Lowercase Letter 147
 
5.4%
Space Separator 121
 
4.4%
Connector Punctuation 20
 
0.7%
Open Punctuation 17
 
0.6%
Close Punctuation 17
 
0.6%
Decimal Number 7
 
0.3%
Other Punctuation 6
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 154
 
6.9%
바 136
 
6.1%
내 134
 
6.0%
육 132
 
5.9%
관 132
 
5.9%
재 132
 
5.9%
체 131
 
5.9%
닥 131
 
5.9%
디 57
 
2.6%
인 57
 
2.6%
Other values (158) 1025
46.2%
Uppercase Letter
ValueCountFrequency (%)
R 15
 
9.3%
T 14
 
8.6%
A 13
 
8.0%
S 12
 
7.4%
O 11
 
6.8%
P 10
 
6.2%
E 10
 
6.2%
I 9
 
5.6%
C 8
 
4.9%
M 7
 
4.3%
Other values (13) 53
32.7%
Lowercase Letter
ValueCountFrequency (%)
c 16
10.9%
o 14
9.5%
i 14
9.5%
h 13
8.8%
e 12
8.2%
s 11
 
7.5%
a 11
 
7.5%
r 10
 
6.8%
l 9
 
6.1%
t 9
 
6.1%
Other values (10) 28
19.0%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
, 2
33.3%
/ 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
7 6
85.7%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
121
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2221
81.6%
Latin 309
 
11.4%
Common 191
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 154
 
6.9%
바 136
 
6.1%
내 134
 
6.0%
육 132
 
5.9%
관 132
 
5.9%
재 132
 
5.9%
체 131
 
5.9%
닥 131
 
5.9%
디 57
 
2.6%
인 57
 
2.6%
Other values (158) 1025
46.2%
Latin
ValueCountFrequency (%)
c 16
 
5.2%
R 15
 
4.9%
o 14
 
4.5%
T 14
 
4.5%
i 14
 
4.5%
h 13
 
4.2%
A 13
 
4.2%
e 12
 
3.9%
S 12
 
3.9%
O 11
 
3.6%
Other values (33) 175
56.6%
Common
ValueCountFrequency (%)
121
63.4%
_ 20
 
10.5%
( 17
 
8.9%
) 17
 
8.9%
7 6
 
3.1%
& 3
 
1.6%
- 3
 
1.6%
, 2
 
1.0%
/ 1
 
0.5%
3 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2221
81.6%
ASCII 500
 
18.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
실 154
 
6.9%
바 136
 
6.1%
내 134
 
6.0%
육 132
 
5.9%
관 132
 
5.9%
재 132
 
5.9%
체 131
 
5.9%
닥 131
 
5.9%
디 57
 
2.6%
인 57
 
2.6%
Other values (158) 1025
46.2%
ASCII
ValueCountFrequency (%)
121
24.2%
_ 20
 
4.0%
( 17
 
3.4%
) 17
 
3.4%
c 16
 
3.2%
R 15
 
3.0%
o 14
 
2.8%
T 14
 
2.8%
i 14
 
2.8%
h 13
 
2.6%
Other values (43) 239
47.8%

모델명
Text

Distinct316
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-14T18:37:44.020622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length29
Mean length10.308782
Min length2

Characters and Unicode

Total characters3639
Distinct characters185
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique281 ?
Unique (%)79.6%

Sample

1st rowVSPHOENX X
2nd row스마트내진장선시스템(SM-SPSK)
3rd row에코장선조절시스템(ECO-SPK)
4th rowDF-SUB/드라이코어
5th rowHB-ADS
ValueCountFrequency (%)
이중바닥마루틀 10
 
2.0%
e-cross 7
 
1.4%
시스템 6
 
1.2%
b 6
 
1.2%
cell 5
 
1.0%
ohcoach 5
 
1.0%
system 5
 
1.0%
방음방진 4
 
0.8%
세이프링크시스템마루틀(safe-link-elg 3
 
0.6%
fortis 3
 
0.6%
Other values (377) 452
89.3%
2024-03-14T18:37:45.433550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 231
 
6.3%
S 212
 
5.8%
0 191
 
5.2%
157
 
4.3%
A 96
 
2.6%
1 95
 
2.6%
E 90
 
2.5%
5 87
 
2.4%
M 79
 
2.2%
T 77
 
2.1%
Other values (175) 2324
63.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1456
40.0%
Other Letter 727
20.0%
Decimal Number 574
 
15.8%
Lowercase Letter 354
 
9.7%
Dash Punctuation 231
 
6.3%
Space Separator 157
 
4.3%
Open Punctuation 61
 
1.7%
Close Punctuation 60
 
1.6%
Other Punctuation 16
 
0.4%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 73
 
10.0%
템 57
 
7.8%
시 56
 
7.7%
마 37
 
5.1%
루 34
 
4.7%
이 29
 
4.0%
틀 27
 
3.7%
진 21
 
2.9%
방 19
 
2.6%
장 19
 
2.6%
Other values (105) 355
48.8%
Uppercase Letter
ValueCountFrequency (%)
S 212
 
14.6%
A 96
 
6.6%
E 90
 
6.2%
M 79
 
5.4%
T 77
 
5.3%
D 73
 
5.0%
O 70
 
4.8%
B 69
 
4.7%
C 68
 
4.7%
P 65
 
4.5%
Other values (16) 557
38.3%
Lowercase Letter
ValueCountFrequency (%)
o 50
14.1%
e 46
13.0%
s 36
10.2%
r 34
9.6%
l 30
8.5%
p 21
 
5.9%
i 18
 
5.1%
t 18
 
5.1%
a 16
 
4.5%
h 15
 
4.2%
Other values (14) 70
19.8%
Decimal Number
ValueCountFrequency (%)
0 191
33.3%
1 95
16.6%
5 87
15.2%
2 76
 
13.2%
3 50
 
8.7%
4 25
 
4.4%
6 15
 
2.6%
7 13
 
2.3%
8 11
 
1.9%
9 11
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 7
43.8%
. 3
18.8%
/ 3
18.8%
& 2
 
12.5%
: 1
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%
Space Separator
ValueCountFrequency (%)
157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1808
49.7%
Common 1102
30.3%
Hangul 727
20.0%
Greek 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 73
 
10.0%
템 57
 
7.8%
시 56
 
7.7%
마 37
 
5.1%
루 34
 
4.7%
이 29
 
4.0%
틀 27
 
3.7%
진 21
 
2.9%
방 19
 
2.6%
장 19
 
2.6%
Other values (105) 355
48.8%
Latin
ValueCountFrequency (%)
S 212
 
11.7%
A 96
 
5.3%
E 90
 
5.0%
M 79
 
4.4%
T 77
 
4.3%
D 73
 
4.0%
O 70
 
3.9%
B 69
 
3.8%
C 68
 
3.8%
P 65
 
3.6%
Other values (39) 909
50.3%
Common
ValueCountFrequency (%)
- 231
21.0%
0 191
17.3%
157
14.2%
1 95
8.6%
5 87
 
7.9%
2 76
 
6.9%
( 61
 
5.5%
) 60
 
5.4%
3 50
 
4.5%
4 25
 
2.3%
Other values (10) 69
 
6.3%
Greek
ValueCountFrequency (%)
α 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2910
80.0%
Hangul 727
 
20.0%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 231
 
7.9%
S 212
 
7.3%
0 191
 
6.6%
157
 
5.4%
A 96
 
3.3%
1 95
 
3.3%
E 90
 
3.1%
5 87
 
3.0%
M 79
 
2.7%
T 77
 
2.6%
Other values (59) 1595
54.8%
Hangul
ValueCountFrequency (%)
스 73
 
10.0%
템 57
 
7.8%
시 56
 
7.7%
마 37
 
5.1%
루 34
 
4.7%
이 29
 
4.0%
틀 27
 
3.7%
진 21
 
2.9%
방 19
 
2.6%
장 19
 
2.6%
Other values (105) 355
48.8%
None
ValueCountFrequency (%)
α 2
100.0%

유효기간
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2022-09-16~2025-09-15
66 
2021-08-26~2024-08-25
44 
2019-08-23~2022-08-22
40 
2021-05-14~2024-05-13
31 
2020-12-09~2023-12-08
26 
Other values (11)
146 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row2019-01-23~2022-01-22
2nd row2019-05-09~2022-05-08
3rd row2019-05-09~2022-05-08
4th row2019-05-09~2022-05-08
5th row2019-05-09~2022-05-08

Common Values

ValueCountFrequency (%)
2022-09-16~2025-09-15 66
18.7%
2021-08-26~2024-08-25 44
12.5%
2019-08-23~2022-08-22 40
11.3%
2021-05-14~2024-05-13 31
8.8%
2020-12-09~2023-12-08 26
 
7.4%
2019-05-09~2022-05-08 22
 
6.2%
2022-05-03~2025-05-02 21
 
5.9%
2020-06-25~2023-06-24 19
 
5.4%
2023-05-26~2026-05-25 17
 
4.8%
2020-09-22~2023-09-21 15
 
4.2%
Other values (6) 52
14.7%

Length

2024-03-14T18:37:45.716783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-09-16~2025-09-15 66
18.7%
2021-08-26~2024-08-25 44
12.5%
2019-08-23~2022-08-22 40
11.3%
2021-05-14~2024-05-13 31
8.8%
2020-12-09~2023-12-08 26
 
7.4%
2019-05-09~2022-05-08 22
 
6.2%
2022-05-03~2025-05-02 21
 
5.9%
2020-06-25~2023-06-24 19
 
5.4%
2023-05-26~2026-05-25 17
 
4.8%
2020-09-22~2023-09-21 15
 
4.2%
Other values (6) 52
14.7%

Interactions

2024-03-14T18:37:37.333091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:37:45.849578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분품목유효기간
구분1.0000.8470.957
품목0.8471.0000.377
유효기간0.9570.3771.000
2024-03-14T18:37:45.993989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유효기간
구분1.0000.802
유효기간0.8021.000

Missing values

2024-03-14T18:37:37.887796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:37:38.194439image/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.

Sample

구분업체명품목모델명유효기간
01홍인터내셔날다트VSPHOENX X2019-01-23~2022-01-22
12코리아우드실내체육관바닥재스마트내진장선시스템(SM-SPSK)2019-05-09~2022-05-08
23코리아우드실내체육관바닥재에코장선조절시스템(ECO-SPK)2019-05-09~2022-05-08
34㈜에이비텍실내체육관바닥재DF-SUB/드라이코어2019-05-09~2022-05-08
45㈜한백아이디실내체육관바닥재HB-ADS2019-05-09~2022-05-08
56㈜한백아이디실내체육관바닥재HB-SINGLE2019-05-09~2022-05-08
67㈜반야테크실내체육관바닥재HV 마루시스템2019-05-09~2022-05-08
78세민테크(주)실내체육관바닥재SMT-ENQ-2002019-05-09~2022-05-08
89세민테크(주)실내체육관바닥재SMT-ENQ-1002019-05-09~2022-05-08
910㈜효성월드그린인조잔디WG-KM552019-05-09~2022-05-08
구분업체명품목모델명유효기간
343344주식회사 케이팀버실내체육관바닥재Sports-H12023-12-08~2026-12-07
344345㈜쏘노실내체육관바닥재SONO SG52023-12-08~2026-12-07
345346㈜바움실내체육관바닥재AFS-12023-12-08~2026-12-07
346347㈜바움실내체육관바닥재AFS-22023-12-08~2026-12-07
347348주식회사 한마루실내체육관바닥재더존마루시스템(DS-200)2023-12-08~2026-12-07
348349데이비드골프데이비드 투어 드라이빙아이언2023-12-08~2026-12-07
349350주식회사 코오롱글루텍인조잔디TM55e+2023-12-08~2026-12-07
350351주식회사 코오롱글루텍인조잔디TM20002023-12-08~2026-12-07
351352주식회사 코오롱글루텍인조잔디CL19002023-12-08~2026-12-07
352353주식회사 코오롱글루텍인조잔디AB352023-12-08~2026-12-07