Overview

Dataset statistics

Number of variables18
Number of observations110
Missing cells85
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.5 KiB
Average record size in memory153.2 B

Variable types

Categorical12
Text1
Numeric5

Dataset

Description경기관광공사_경기도 MICE Alliance 컨벤션 및 전시 시설
Author경기관광공사
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=18JFFP7IID96VSFQJH3O29944642&infSeq=1

Alerts

전화번호 is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
전시장 구분 is highly overall correlated with 면적(㎡) and 13 other fieldsHigh correlation
경도 is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
시군명 is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
위치(층) is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
수용인원(부스) is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
시설유형 is highly overall correlated with 높이(m) and 10 other fieldsHigh correlation
소재지도로명주소 is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
소재지지번주소 is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
위도 is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
홈페이지 is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
시설명 is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
면적(㎡) is highly overall correlated with 높이(m) and 14 other fieldsHigh correlation
높이(m) is highly overall correlated with 면적(㎡) and 3 other fieldsHigh correlation
수용인원(극장식) is highly overall correlated with 면적(㎡) and 4 other fieldsHigh correlation
수용인원(강의식) is highly overall correlated with 면적(㎡) and 12 other fieldsHigh correlation
수용인원(연회식) is highly overall correlated with 면적(㎡) and 3 other fieldsHigh correlation
수용인원(부스) is highly imbalanced (74.2%)Imbalance
수용인원(극장식) has 40 (36.4%) missing valuesMissing
수용인원(강의식) has 20 (18.2%) missing valuesMissing
수용인원(연회식) has 24 (21.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:48:03.082719
Analysis finished2023-12-10 22:48:07.477659
Duration4.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
수원시
53 
고양시
35 
시흥시
11 
화성시
9 
가평군
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 53
48.2%
고양시 35
31.8%
시흥시 11
 
10.0%
화성시 9
 
8.2%
가평군 2
 
1.8%

Length

2023-12-11T07:48:07.531091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:07.628438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원시 53
48.2%
고양시 35
31.8%
시흥시 11
 
10.0%
화성시 9
 
8.2%
가평군 2
 
1.8%

시설유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
전시
59 
회의
51 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전시 59
53.6%
회의 51
46.4%

Length

2023-12-11T07:48:07.733943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:07.817791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전시 59
53.6%
회의 51
46.4%

시설명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
수원컨벤션센터
53 
킨텍스
35 
서울대학교 시흥캠퍼스 연수동&컨벤션센터
11 
신텍스
9 
청심평화월드센터
 
2

Length

Max length21
Median length8
Mean length6.8181818
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청심평화월드센터
2nd row청심평화월드센터
3rd row킨텍스
4th row킨텍스
5th row킨텍스

Common Values

ValueCountFrequency (%)
수원컨벤션센터 53
48.2%
킨텍스 35
31.8%
서울대학교 시흥캠퍼스 연수동&컨벤션센터 11
 
10.0%
신텍스 9
 
8.2%
청심평화월드센터 2
 
1.8%

Length

2023-12-11T07:48:07.921707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:08.038056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원컨벤션센터 53
40.2%
킨텍스 35
26.5%
서울대학교 11
 
8.3%
시흥캠퍼스 11
 
8.3%
연수동&컨벤션센터 11
 
8.3%
신텍스 9
 
6.8%
청심평화월드센터 2
 
1.5%

전화번호
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
031-303-6000
53 
031-810-8114
33 
031-350-4800
9 
031-589-5200
 
2
031-810-8115
 
2
Other values (11)
11 

Length

Max length13
Median length12
Mean length12.1
Min length12

Unique

Unique11 ?
Unique (%)10.0%

Sample

1st row031-589-5200
2nd row031-589-5200
3rd row031-810-8114
4th row031-810-8114
5th row031-810-8114

Common Values

ValueCountFrequency (%)
031-303-6000 53
48.2%
031-810-8114 33
30.0%
031-350-4800 9
 
8.2%
031-589-5200 2
 
1.8%
031-810-8115 2
 
1.8%
031-5176-3000 1
 
0.9%
031-5176-3001 1
 
0.9%
031-5176-3004 1
 
0.9%
031-5176-3005 1
 
0.9%
031-5176-3003 1
 
0.9%
Other values (6) 6
 
5.5%

Length

2023-12-11T07:48:08.146823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-303-6000 53
48.2%
031-810-8114 33
30.0%
031-350-4800 9
 
8.2%
031-589-5200 2
 
1.8%
031-810-8115 2
 
1.8%
031-5176-3000 1
 
0.9%
031-5176-3001 1
 
0.9%
031-5176-3004 1
 
0.9%
031-5176-3005 1
 
0.9%
031-5176-3003 1
 
0.9%
Other values (6) 6
 
5.5%

소재지도로명주소
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
경기도 수원시 영통구 광교중앙로 140
53 
경기도 고양시 일산서구 킨텍스로 217-60
35 
경기도 시흥시 서울대학로 173
11 
경기도 화성시 정남면 세자로 286
9 
경기도 가평군 설악면 미사리로 258
 
2

Length

Max length24
Median length21
Mean length21.372727
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 가평군 설악면 미사리로 258
2nd row경기도 가평군 설악면 미사리로 258
3rd row경기도 고양시 일산서구 킨텍스로 217-60
4th row경기도 고양시 일산서구 킨텍스로 217-60
5th row경기도 고양시 일산서구 킨텍스로 217-60

Common Values

ValueCountFrequency (%)
경기도 수원시 영통구 광교중앙로 140 53
48.2%
경기도 고양시 일산서구 킨텍스로 217-60 35
31.8%
경기도 시흥시 서울대학로 173 11
 
10.0%
경기도 화성시 정남면 세자로 286 9
 
8.2%
경기도 가평군 설악면 미사리로 258 2
 
1.8%

Length

2023-12-11T07:48:08.268886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:08.379667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 110
20.4%
수원시 53
9.8%
영통구 53
9.8%
광교중앙로 53
9.8%
140 53
9.8%
고양시 35
 
6.5%
일산서구 35
 
6.5%
킨텍스로 35
 
6.5%
217-60 35
 
6.5%
173 11
 
2.0%
Other values (10) 66
12.2%

소재지지번주소
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
경기도 수원시 영통구 하동 1017번지
53 
경기도 고양시 일산서구 대화동 2600번지
35 
경기도 시흥시 배곧동 242번지 서울대학교 시흥캠퍼스
11 
경기도 화성시 정남면 보통리 141-39번지
9 
경기도 가평군 설악면 송산리 583-2번지
 
2

Length

Max length29
Median length24
Mean length22.718182
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 가평군 설악면 송산리 583-2번지
2nd row경기도 가평군 설악면 송산리 583-2번지
3rd row경기도 고양시 일산서구 대화동 2600번지
4th row경기도 고양시 일산서구 대화동 2600번지
5th row경기도 고양시 일산서구 대화동 2600번지

Common Values

ValueCountFrequency (%)
경기도 수원시 영통구 하동 1017번지 53
48.2%
경기도 고양시 일산서구 대화동 2600번지 35
31.8%
경기도 시흥시 배곧동 242번지 서울대학교 시흥캠퍼스 11
 
10.0%
경기도 화성시 정남면 보통리 141-39번지 9
 
8.2%
경기도 가평군 설악면 송산리 583-2번지 2
 
1.8%

Length

2023-12-11T07:48:08.518699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:08.635610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 110
19.6%
수원시 53
9.4%
영통구 53
9.4%
하동 53
9.4%
1017번지 53
9.4%
고양시 35
 
6.2%
일산서구 35
 
6.2%
대화동 35
 
6.2%
2600번지 35
 
6.2%
시흥캠퍼스 11
 
2.0%
Other values (12) 88
15.7%

홈페이지
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
http://www.scc.or.kr/
53 
http://www.kintex.com/
35 
https://www.snushc.com/ko/
11 
https://www.laviedor.com/
9 
http://www.cspwc.co.kr/
 
2

Length

Max length26
Median length25
Mean length22.181818
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://www.cspwc.co.kr/
2nd rowhttp://www.cspwc.co.kr/
3rd rowhttp://www.kintex.com/
4th rowhttp://www.kintex.com/
5th rowhttp://www.kintex.com/

Common Values

ValueCountFrequency (%)
http://www.scc.or.kr/ 53
48.2%
http://www.kintex.com/ 35
31.8%
https://www.snushc.com/ko/ 11
 
10.0%
https://www.laviedor.com/ 9
 
8.2%
http://www.cspwc.co.kr/ 2
 
1.8%

Length

2023-12-11T07:48:08.759157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:08.924982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://www.scc.or.kr 53
48.2%
http://www.kintex.com 35
31.8%
https://www.snushc.com/ko 11
 
10.0%
https://www.laviedor.com 9
 
8.2%
http://www.cspwc.co.kr 2
 
1.8%

전시장 구분
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size1012.0 B
회의실
42 
제2전시장
19 
제1전시장
16 
<NA>
14 
컨벤션홀
6 
Other values (10)
13 

Length

Max length9
Median length8
Mean length4.3272727
Min length3

Unique

Unique8 ?
Unique (%)7.3%

Sample

1st row<NA>
2nd row<NA>
3rd row제1전시장
4th row제1전시장
5th row제1전시장

Common Values

ValueCountFrequency (%)
회의실 42
38.2%
제2전시장 19
17.3%
제1전시장 16
 
14.5%
<NA> 14
 
12.7%
컨벤션홀 6
 
5.5%
전시홀(3분할) 3
 
2.7%
전시홀(2분할) 2
 
1.8%
미디어강의실 1
 
0.9%
중회의실(VIP) 1
 
0.9%
계단강의실(중) 1
 
0.9%
Other values (5) 5
 
4.5%

Length

2023-12-11T07:48:09.113382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회의실 42
38.2%
제2전시장 19
17.3%
제1전시장 16
 
14.5%
na 14
 
12.7%
컨벤션홀 6
 
5.5%
전시홀(3분할 3
 
2.7%
전시홀(2분할 2
 
1.8%
미디어강의실 1
 
0.9%
중회의실(vip 1
 
0.9%
계단강의실(중 1
 
0.9%
Other values (5) 5
 
4.5%

전시장 상세
Text

Distinct102
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-11T07:48:09.369085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length5.4909091
Min length2

Characters and Unicode

Total characters604
Distinct characters49
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)88.2%

Sample

1st row메인플로어
2nd row이벤트홀
3rd row1홀
4th row3홀
5th row5홀
ValueCountFrequency (%)
1홀 3
 
2.4%
3홀 3
 
2.4%
2 3
 
2.4%
2홀 3
 
2.4%
202 2
 
1.6%
104 2
 
1.6%
3 2
 
1.6%
102 2
 
1.6%
105 2
 
1.6%
103 2
 
1.6%
Other values (96) 100
80.6%
2023-12-11T07:48:09.766807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 119
19.7%
3 58
 
9.6%
4 56
 
9.3%
1 49
 
8.1%
2 49
 
8.1%
+ 25
 
4.1%
홀 21
 
3.5%
, 21
 
3.5%
6 20
 
3.3%
5 20
 
3.3%
Other values (39) 166
27.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 406
67.2%
Other Letter 93
 
15.4%
Math Symbol 36
 
6.0%
Other Punctuation 25
 
4.1%
Uppercase Letter 24
 
4.0%
Space Separator 14
 
2.3%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 21
22.6%
호 19
20.4%
로 5
 
5.4%
볼 5
 
5.4%
룸 5
 
5.4%
에 3
 
3.2%
니 3
 
3.2%
마 3
 
3.2%
메 2
 
2.2%
플 2
 
2.2%
Other values (20) 25
26.9%
Decimal Number
ValueCountFrequency (%)
0 119
29.3%
3 58
14.3%
4 56
13.8%
1 49
12.1%
2 49
12.1%
6 20
 
4.9%
5 20
 
4.9%
7 16
 
3.9%
8 13
 
3.2%
9 6
 
1.5%
Math Symbol
ValueCountFrequency (%)
+ 25
69.4%
~ 11
30.6%
Other Punctuation
ValueCountFrequency (%)
, 21
84.0%
/ 4
 
16.0%
Uppercase Letter
ValueCountFrequency (%)
B 12
50.0%
A 12
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 487
80.6%
Hangul 93
 
15.4%
Latin 24
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 21
22.6%
호 19
20.4%
로 5
 
5.4%
볼 5
 
5.4%
룸 5
 
5.4%
에 3
 
3.2%
니 3
 
3.2%
마 3
 
3.2%
메 2
 
2.2%
플 2
 
2.2%
Other values (20) 25
26.9%
Common
ValueCountFrequency (%)
0 119
24.4%
3 58
11.9%
4 56
11.5%
1 49
10.1%
2 49
10.1%
+ 25
 
5.1%
, 21
 
4.3%
6 20
 
4.1%
5 20
 
4.1%
7 16
 
3.3%
Other values (7) 54
11.1%
Latin
ValueCountFrequency (%)
B 12
50.0%
A 12
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 511
84.6%
Hangul 93
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 119
23.3%
3 58
11.4%
4 56
11.0%
1 49
9.6%
2 49
9.6%
+ 25
 
4.9%
, 21
 
4.1%
6 20
 
3.9%
5 20
 
3.9%
7 16
 
3.1%
Other values (9) 78
15.3%
Hangul
ValueCountFrequency (%)
홀 21
22.6%
호 19
20.4%
로 5
 
5.4%
볼 5
 
5.4%
룸 5
 
5.4%
에 3
 
3.2%
니 3
 
3.2%
마 3
 
3.2%
메 2
 
2.2%
플 2
 
2.2%
Other values (20) 25
26.9%

위치(층)
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size1012.0 B
3F
29 
1F
28 
2F
23 
4F
22 
<NA>
5 
Other values (2)
3 

Length

Max length6
Median length2
Mean length2.1272727
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st rowB1
2nd rowB1
3rd row1F
4th row1F
5th row1F

Common Values

ValueCountFrequency (%)
3F 29
26.4%
1F 28
25.5%
2F 23
20.9%
4F 22
20.0%
<NA> 5
 
4.5%
B1 2
 
1.8%
5F, 6F 1
 
0.9%

Length

2023-12-11T07:48:09.916977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:10.056113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3f 29
26.1%
1f 28
25.2%
2f 23
20.7%
4f 22
19.8%
na 5
 
4.5%
b1 2
 
1.8%
5f 1
 
0.9%
6f 1
 
0.9%

면적(㎡)
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)63.3%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean2711.4037
Minimum23
Maximum137217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:48:10.190479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile90.4
Q1130
median225
Q3628
95-th percentile10773
Maximum137217
Range137194
Interquartile range (IQR)498

Descriptive statistics

Standard deviation13377.044
Coefficient of variation (CV)4.9336232
Kurtosis96.985014
Mean2711.4037
Median Absolute Deviation (MAD)111
Skewness9.6077995
Sum295543
Variance1.7894531 × 108
MonotonicityNot monotonic
2023-12-11T07:48:10.361937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 5
 
4.5%
94 4
 
3.6%
188 4
 
3.6%
10773 4
 
3.6%
628 4
 
3.6%
117 4
 
3.6%
126 4
 
3.6%
560 3
 
2.7%
162 3
 
2.7%
234 3
 
2.7%
Other values (59) 71
64.5%
ValueCountFrequency (%)
23 1
 
0.9%
30 1
 
0.9%
45 1
 
0.9%
68 1
 
0.9%
82 1
 
0.9%
88 1
 
0.9%
94 4
3.6%
109 1
 
0.9%
110 1
 
0.9%
114 2
1.8%
ValueCountFrequency (%)
137217 1
 
0.9%
13238 1
 
0.9%
13072 1
 
0.9%
11290 2
1.8%
10773 4
3.6%
10661 1
 
0.9%
5580 1
 
0.9%
4177 1
 
0.9%
3700 1
 
0.9%
3657 1
 
0.9%

높이(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0797273
Minimum2.7
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:48:10.520466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile2.8
Q12.8
median4
Q37.2
95-th percentile15
Maximum45
Range42.3
Interquartile range (IQR)4.4

Descriptive statistics

Standard deviation5.5451439
Coefficient of variation (CV)0.91207116
Kurtosis21.256494
Mean6.0797273
Median Absolute Deviation (MAD)1.2
Skewness3.6333734
Sum668.77
Variance30.748621
MonotonicityNot monotonic
2023-12-11T07:48:10.669876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2.8 42
38.2%
4.0 15
 
13.6%
15.0 8
 
7.3%
12.0 7
 
6.4%
6.0 6
 
5.5%
13.0 6
 
5.5%
2.7 5
 
4.5%
3.9 5
 
4.5%
7.2 4
 
3.6%
4.1 4
 
3.6%
Other values (6) 8
 
7.3%
ValueCountFrequency (%)
2.7 5
 
4.5%
2.8 42
38.2%
3.67 1
 
0.9%
3.8 1
 
0.9%
3.9 5
 
4.5%
4.0 15
 
13.6%
4.1 4
 
3.6%
6.0 6
 
5.5%
7.0 2
 
1.8%
7.2 4
 
3.6%
ValueCountFrequency (%)
45.0 1
 
0.9%
15.0 8
7.3%
13.0 6
5.5%
12.0 7
6.4%
10.0 2
 
1.8%
8.5 1
 
0.9%
7.2 4
3.6%
7.0 2
 
1.8%
6.0 6
5.5%
4.1 4
3.6%

수용인원(부스)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
100 
600
 
5
550
 
2
510
 
2
200
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row<NA>
3rd row600
4th row600
5th row600

Common Values

ValueCountFrequency (%)
<NA> 100
90.9%
600 5
 
4.5%
550 2
 
1.8%
510 2
 
1.8%
200 1
 
0.9%

Length

2023-12-11T07:48:10.792382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:10.914745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
90.9%
600 5
 
4.5%
550 2
 
1.8%
510 2
 
1.8%
200 1
 
0.9%

수용인원(극장식)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct36
Distinct (%)51.4%
Missing40
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean408.87143
Minimum30
Maximum5400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:48:11.048041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile72
Q181
median160
Q3305.5
95-th percentile1776
Maximum5400
Range5370
Interquartile range (IQR)224.5

Descriptive statistics

Standard deviation795.78841
Coefficient of variation (CV)1.9463048
Kurtosis23.508387
Mean408.87143
Median Absolute Deviation (MAD)79
Skewness4.4277686
Sum28621
Variance633279.19
MonotonicityNot monotonic
2023-12-11T07:48:11.186533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
81 9
 
8.2%
72 5
 
4.5%
160 5
 
4.5%
108 5
 
4.5%
520 4
 
3.6%
80 4
 
3.6%
216 3
 
2.7%
1088 2
 
1.8%
342 2
 
1.8%
231 2
 
1.8%
Other values (26) 29
26.4%
(Missing) 40
36.4%
ValueCountFrequency (%)
30 1
 
0.9%
48 1
 
0.9%
63 1
 
0.9%
72 5
4.5%
80 4
3.6%
81 9
8.2%
88 1
 
0.9%
99 1
 
0.9%
100 2
 
1.8%
108 5
4.5%
ValueCountFrequency (%)
5400 1
 
0.9%
2916 1
 
0.9%
2052 1
 
0.9%
1920 1
 
0.9%
1600 1
 
0.9%
1200 1
 
0.9%
1088 2
1.8%
832 1
 
0.9%
520 4
3.6%
450 1
 
0.9%

수용인원(강의식)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct45
Distinct (%)50.0%
Missing20
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean504.31111
Minimum2
Maximum25000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:48:11.341076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile23.6
Q163
median82.5
Q3215
95-th percentile1213.2
Maximum25000
Range24998
Interquartile range (IQR)152

Descriptive statistics

Standard deviation2639.2151
Coefficient of variation (CV)5.2333074
Kurtosis86.0981
Mean504.31111
Median Absolute Deviation (MAD)42.5
Skewness9.1909515
Sum45388
Variance6965456.2
MonotonicityNot monotonic
2023-12-11T07:48:11.774931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
63 13
 
11.8%
300 6
 
5.5%
81 6
 
5.5%
60 5
 
4.5%
120 4
 
3.6%
80 4
 
3.6%
40 4
 
3.6%
252 3
 
2.7%
162 3
 
2.7%
648 2
 
1.8%
Other values (35) 40
36.4%
(Missing) 20
18.2%
ValueCountFrequency (%)
2 1
 
0.9%
10 1
 
0.9%
12 1
 
0.9%
16 1
 
0.9%
20 1
 
0.9%
28 1
 
0.9%
32 1
 
0.9%
36 1
 
0.9%
40 4
3.6%
42 1
 
0.9%
ValueCountFrequency (%)
25000 1
0.9%
2400 1
0.9%
1800 1
0.9%
1260 1
0.9%
1224 1
0.9%
1200 1
0.9%
1000 1
0.9%
800 1
0.9%
648 2
1.8%
504 1
0.9%

수용인원(연회식)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct35
Distinct (%)40.7%
Missing24
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean480.9186
Minimum10
Maximum25000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:48:11.945909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20.25
Q148
median80
Q3144
95-th percentile900
Maximum25000
Range24990
Interquartile range (IQR)96

Descriptive statistics

Standard deviation2700.092
Coefficient of variation (CV)5.614447
Kurtosis82.748241
Mean480.9186
Median Absolute Deviation (MAD)36
Skewness9.0235754
Sum41359
Variance7290496.9
MonotonicityNot monotonic
2023-12-11T07:48:12.093184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
48 14
12.7%
80 9
 
8.2%
64 7
 
6.4%
96 6
 
5.5%
40 5
 
4.5%
144 5
 
4.5%
250 4
 
3.6%
25 3
 
2.7%
300 2
 
1.8%
50 2
 
1.8%
Other values (25) 29
26.4%
(Missing) 24
21.8%
ValueCountFrequency (%)
10 1
 
0.9%
12 1
 
0.9%
17 1
 
0.9%
18 1
 
0.9%
20 1
 
0.9%
21 1
 
0.9%
24 1
 
0.9%
25 3
2.7%
32 1
 
0.9%
34 1
 
0.9%
ValueCountFrequency (%)
25000 1
 
0.9%
2700 1
 
0.9%
1264 1
 
0.9%
1000 1
 
0.9%
900 2
1.8%
880 2
1.8%
480 2
1.8%
400 1
 
0.9%
300 2
1.8%
250 4
3.6%

위도
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
37.286249
53 
37.664934
35 
37.36622193
11 
37.191456
9 
37.684614
 
2

Length

Max length11
Median length9
Mean length9.2
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37.684614
2nd row37.684614
3rd row37.664934
4th row37.664934
5th row37.664934

Common Values

ValueCountFrequency (%)
37.286249 53
48.2%
37.664934 35
31.8%
37.36622193 11
 
10.0%
37.191456 9
 
8.2%
37.684614 2
 
1.8%

Length

2023-12-11T07:48:12.251952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:12.383727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37.286249 53
48.2%
37.664934 35
31.8%
37.36622193 11
 
10.0%
37.191456 9
 
8.2%
37.684614 2
 
1.8%

경도
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
127.059782
53 
126.742058
35 
126.7188214
11 
126.982084
9 
127.520426
 
2

Length

Max length11
Median length10
Mean length10.1
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row127.520426
2nd row127.520426
3rd row126.742058
4th row126.742058
5th row126.742058

Common Values

ValueCountFrequency (%)
127.059782 53
48.2%
126.742058 35
31.8%
126.7188214 11
 
10.0%
126.982084 9
 
8.2%
127.520426 2
 
1.8%

Length

2023-12-11T07:48:12.516951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:12.644487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127.059782 53
48.2%
126.742058 35
31.8%
126.7188214 11
 
10.0%
126.982084 9
 
8.2%
127.520426 2
 
1.8%

Interactions

2023-12-11T07:48:06.583738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:04.465709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:04.973628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:05.623081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:06.075802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:06.680300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:04.556250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:05.056267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:05.708540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:06.188427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:06.765493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:04.636850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:05.379664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:05.792780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:06.286993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:06.853758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:04.753740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:05.462326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:05.875679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:06.400051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:06.928073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:04.878605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:05.535987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:05.965842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:06.493427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:48:12.758893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설유형시설명전화번호소재지도로명주소소재지지번주소홈페이지전시장 구분위치(층)면적(㎡)높이(m)수용인원(부스)수용인원(극장식)수용인원(강의식)수용인원(연회식)위도경도
시군명1.0000.6491.0001.0001.0001.0001.0001.0000.6810.5710.530NaN0.8030.5680.5341.0001.000
시설유형0.6491.0000.6490.9290.6490.6490.6491.0000.3120.0000.775NaN0.5080.0000.0000.6490.649
시설명1.0000.6491.0001.0001.0001.0001.0001.0000.6810.5710.530NaN0.8030.5680.5341.0001.000
전화번호1.0000.9291.0001.0001.0001.0001.0000.9870.8620.6980.808NaN0.5250.6820.7861.0001.000
소재지도로명주소1.0000.6491.0001.0001.0001.0001.0001.0000.6810.5710.530NaN0.8030.5680.5341.0001.000
소재지지번주소1.0000.6491.0001.0001.0001.0001.0001.0000.6810.5710.530NaN0.8030.5680.5341.0001.000
홈페이지1.0000.6491.0001.0001.0001.0001.0001.0000.6810.5710.530NaN0.8030.5680.5341.0001.000
전시장 구분1.0001.0001.0000.9871.0001.0001.0001.0000.812NaN0.6761.0000.746NaN0.1781.0001.000
위치(층)0.6810.3120.6810.8620.6810.6810.6810.8121.0000.8740.604NaN0.0910.8710.5660.6810.681
면적(㎡)0.5710.0000.5710.6980.5710.5710.571NaN0.8741.0001.000NaNNaN0.6911.0000.5710.571
높이(m)0.5300.7750.5300.8080.5300.5300.5300.6760.6041.0001.0001.0000.9901.0000.6950.5300.530
수용인원(부스)NaNNaNNaNNaNNaNNaNNaN1.000NaNNaN1.0001.000NaNNaNNaNNaNNaN
수용인원(극장식)0.8030.5080.8030.5250.8030.8030.8030.7460.091NaN0.990NaN1.000NaN1.0000.8030.803
수용인원(강의식)0.5680.0000.5680.6820.5680.5680.568NaN0.8710.6911.000NaNNaN1.0001.0000.5680.568
수용인원(연회식)0.5340.0000.5340.7860.5340.5340.5340.1780.5661.0000.695NaN1.0001.0001.0000.5340.534
위도1.0000.6491.0001.0001.0001.0001.0001.0000.6810.5710.530NaN0.8030.5680.5341.0001.000
경도1.0000.6491.0001.0001.0001.0001.0001.0000.6810.5710.530NaN0.8030.5680.5341.0001.000
2023-12-11T07:48:12.948539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호전시장 구분경도시군명위치(층)수용인원(부스)시설유형소재지도로명주소소재지지번주소위도홈페이지시설명
전화번호1.0000.9270.9460.9460.6091.0000.7410.9460.9460.9460.9460.946
전시장 구분0.9271.0000.9390.9390.5620.8660.9340.9390.9390.9390.9390.939
경도0.9460.9391.0001.0000.5401.0000.7681.0001.0001.0001.0001.000
시군명0.9460.9391.0001.0000.5401.0000.7681.0001.0001.0001.0001.000
위치(층)0.6090.5620.5400.5401.0001.0000.2190.5400.5400.5400.5400.540
수용인원(부스)1.0000.8661.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설유형0.7410.9340.7680.7680.2191.0001.0000.7680.7680.7680.7680.768
소재지도로명주소0.9460.9391.0001.0000.5401.0000.7681.0001.0001.0001.0001.000
소재지지번주소0.9460.9391.0001.0000.5401.0000.7681.0001.0001.0001.0001.000
위도0.9460.9391.0001.0000.5401.0000.7681.0001.0001.0001.0001.000
홈페이지0.9460.9391.0001.0000.5401.0000.7681.0001.0001.0001.0001.000
시설명0.9460.9391.0001.0000.5401.0000.7681.0001.0001.0001.0001.000
2023-12-11T07:48:13.114798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(㎡)높이(m)수용인원(극장식)수용인원(강의식)수용인원(연회식)시군명시설유형시설명전화번호소재지도로명주소소재지지번주소홈페이지전시장 구분위치(층)수용인원(부스)위도경도
면적(㎡)1.0000.6770.9800.9580.9260.6800.0000.6800.6080.6800.6800.6801.0000.6721.0000.6800.680
높이(m)0.6771.0000.5490.4570.4610.4540.5610.4540.4780.4540.4540.4540.4620.4300.8660.4540.454
수용인원(극장식)0.9800.5491.0000.9560.9820.4730.3550.4730.3590.4730.4730.4730.5730.067NaN0.4730.473
수용인원(강의식)0.9580.4570.9561.0000.9610.6740.0000.6740.5840.6740.6740.6741.0000.665NaN0.6740.674
수용인원(연회식)0.9260.4610.9820.9611.0000.4680.0000.4680.4560.4680.4680.4680.1140.672NaN0.4680.468
시군명0.6800.4540.4730.6740.4681.0000.7681.0000.9461.0001.0001.0000.9390.5401.0001.0001.000
시설유형0.0000.5610.3550.0000.0000.7681.0000.7680.7410.7680.7680.7680.9340.2191.0000.7680.768
시설명0.6800.4540.4730.6740.4681.0000.7681.0000.9461.0001.0001.0000.9390.5401.0001.0001.000
전화번호0.6080.4780.3590.5840.4560.9460.7410.9461.0000.9460.9460.9460.9270.6091.0000.9460.946
소재지도로명주소0.6800.4540.4730.6740.4681.0000.7681.0000.9461.0001.0001.0000.9390.5401.0001.0001.000
소재지지번주소0.6800.4540.4730.6740.4681.0000.7681.0000.9461.0001.0001.0000.9390.5401.0001.0001.000
홈페이지0.6800.4540.4730.6740.4681.0000.7681.0000.9461.0001.0001.0000.9390.5401.0001.0001.000
전시장 구분1.0000.4620.5731.0000.1140.9390.9340.9390.9270.9390.9390.9391.0000.5620.8660.9390.939
위치(층)0.6720.4300.0670.6650.6720.5400.2190.5400.6090.5400.5400.5400.5621.0001.0000.5400.540
수용인원(부스)1.0000.866NaNNaNNaN1.0001.0001.0001.0001.0001.0001.0000.8661.0001.0001.0001.000
위도0.6800.4540.4730.6740.4681.0000.7681.0000.9461.0001.0001.0000.9390.5401.0001.0001.000
경도0.6800.4540.4730.6740.4681.0000.7681.0000.9461.0001.0001.0000.9390.5401.0001.0001.000

Missing values

2023-12-11T07:48:07.047278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:48:07.244894image/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.
2023-12-11T07:48:07.391050image/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

시군명시설유형시설명전화번호소재지도로명주소소재지지번주소홈페이지전시장 구분전시장 상세위치(층)면적(㎡)높이(m)수용인원(부스)수용인원(극장식)수용인원(강의식)수용인원(연회식)위도경도
0가평군전시청심평화월드센터031-589-5200경기도 가평군 설악면 미사리로 258경기도 가평군 설악면 송산리 583-2번지http://www.cspwc.co.kr/<NA>메인플로어B113721745.0<NA><NA>250002500037.684614127.520426
1가평군전시청심평화월드센터031-589-5200경기도 가평군 설악면 미사리로 258경기도 가평군 설악면 송산리 583-2번지http://www.cspwc.co.kr/<NA>이벤트홀B12803.8<NA><NA>15010037.684614127.520426
2고양시전시킨텍스031-810-8114경기도 고양시 일산서구 킨텍스로 217-60경기도 고양시 일산서구 대화동 2600번지http://www.kintex.com/제1전시장1홀1F1066115.0600<NA><NA><NA>37.664934126.742058
3고양시전시킨텍스031-810-8114경기도 고양시 일산서구 킨텍스로 217-60경기도 고양시 일산서구 대화동 2600번지http://www.kintex.com/제1전시장3홀1F1077315.0600<NA><NA><NA>37.664934126.742058
4고양시전시킨텍스031-810-8114경기도 고양시 일산서구 킨텍스로 217-60경기도 고양시 일산서구 대화동 2600번지http://www.kintex.com/제1전시장5홀1F1077315.0600<NA><NA><NA>37.664934126.742058
5고양시전시킨텍스031-810-8114경기도 고양시 일산서구 킨텍스로 217-60경기도 고양시 일산서구 대화동 2600번지http://www.kintex.com/제2전시장301+302호3F6286.0<NA>52030025037.664934126.742058
6고양시전시킨텍스031-810-8114경기도 고양시 일산서구 킨텍스로 217-60경기도 고양시 일산서구 대화동 2600번지http://www.kintex.com/제1전시장309A3F1174.0<NA><NA><NA>1237.664934126.742058
7고양시전시킨텍스031-810-8114경기도 고양시 일산서구 킨텍스로 217-60경기도 고양시 일산서구 대화동 2600번지http://www.kintex.com/제1전시장301호3F2253.67<NA>1601006037.664934126.742058
8고양시전시킨텍스031-810-8114경기도 고양시 일산서구 킨텍스로 217-60경기도 고양시 일산서구 대화동 2600번지http://www.kintex.com/제1전시장303~307호3F2344.0<NA>2001208037.664934126.742058
9고양시전시킨텍스031-810-8115경기도 고양시 일산서구 킨텍스로 217-60경기도 고양시 일산서구 대화동 2600번지http://www.kintex.com/제2전시장407~408호4F1887.0<NA>160808037.664934126.742058
시군명시설유형시설명전화번호소재지도로명주소소재지지번주소홈페이지전시장 구분전시장 상세위치(층)면적(㎡)높이(m)수용인원(부스)수용인원(극장식)수용인원(강의식)수용인원(연회식)위도경도
100시흥시회의서울대학교 시흥캠퍼스 연수동&컨벤션센터031-5176-3002경기도 시흥시 서울대학로 173경기도 시흥시 배곧동 242번지 서울대학교 시흥캠퍼스https://www.snushc.com/ko/계단강의실(대)1091F5094.1<NA><NA>242<NA>37.366222126.718821
101화성시전시신텍스031-350-4800경기도 화성시 정남면 세자로 286경기도 화성시 정남면 보통리 141-39번지https://www.laviedor.com/<NA>볼룸 11F5607.2<NA><NA>20020037.191456126.982084
102화성시전시신텍스031-350-4800경기도 화성시 정남면 세자로 286경기도 화성시 정남면 보통리 141-39번지https://www.laviedor.com/<NA>볼룸21F5607.2<NA><NA>30030037.191456126.982084
103화성시전시신텍스031-350-4800경기도 화성시 정남면 세자로 286경기도 화성시 정남면 보통리 141-39번지https://www.laviedor.com/<NA>그랜드 볼룸(1, 2, 3)1F16807.2<NA><NA>1200100037.191456126.982084
104화성시전시신텍스031-350-4800경기도 화성시 정남면 세자로 286경기도 화성시 정남면 보통리 141-39번지https://www.laviedor.com/<NA>볼룸31F5607.2<NA><NA>30030037.191456126.982084
105화성시전시신텍스031-350-4800경기도 화성시 정남면 세자로 286경기도 화성시 정남면 보통리 141-39번지https://www.laviedor.com/<NA>마로니에(1, 2)2F3163.9<NA><NA>1204037.191456126.982084
106화성시전시신텍스031-350-4800경기도 화성시 정남면 세자로 286경기도 화성시 정남면 보통리 141-39번지https://www.laviedor.com/<NA>오크2F1513.9<NA><NA>602537.191456126.982084
107화성시전시신텍스031-350-4800경기도 화성시 정남면 세자로 286경기도 화성시 정남면 보통리 141-39번지https://www.laviedor.com/<NA>마로니에22F1553.9<NA><NA>602537.191456126.982084
108화성시전시신텍스031-350-4800경기도 화성시 정남면 세자로 286경기도 화성시 정남면 보통리 141-39번지https://www.laviedor.com/<NA>마로니에12F1553.9<NA><NA>602537.191456126.982084
109화성시전시신텍스031-350-4800경기도 화성시 정남면 세자로 286경기도 화성시 정남면 보통리 141-39번지https://www.laviedor.com/<NA>메이플2F883.9<NA><NA>321837.191456126.982084