Overview

Dataset statistics

Number of variables47
Number of observations75
Missing cells1714
Missing cells (%)48.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.2 KiB
Average record size in memory411.8 B

Variable types

Categorical16
Text7
DateTime2
Unsupported16
Numeric6

Dataset

Description경기도 국제회의기획업 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=T7IYJ3FOYUS7T12RWY4L14461530&infSeq=1

Alerts

문화체육업종명 has constant value ""Constant
지역구분명 has constant value ""Constant
문화사업자구분명 is highly imbalanced (51.0%)Imbalance
시설면적 is highly imbalanced (56.1%)Imbalance
시설규모 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 75 (100.0%) missing valuesMissing
폐업일자 has 70 (93.3%) missing valuesMissing
소재지시설전화번호 has 65 (86.7%) missing valuesMissing
소재지면적정보 has 75 (100.0%) missing valuesMissing
도로명우편번호 has 53 (70.7%) missing valuesMissing
업태구분명정보 has 75 (100.0%) missing valuesMissing
X좌표값 has 53 (70.7%) missing valuesMissing
Y좌표값 has 53 (70.7%) missing valuesMissing
지역구분명 has 74 (98.7%) missing valuesMissing
주변환경명 has 75 (100.0%) missing valuesMissing
제작취급품목내용 has 75 (100.0%) missing valuesMissing
보험기관명 has 75 (100.0%) missing valuesMissing
영문상호명 has 73 (97.3%) missing valuesMissing
영문상호주소 has 73 (97.3%) missing valuesMissing
선박제원내용 has 75 (100.0%) missing valuesMissing
기념품종류명 has 75 (100.0%) missing valuesMissing
놀이기구수내역 has 75 (100.0%) missing valuesMissing
발전시설유무 has 75 (100.0%) missing valuesMissing
의무실유무 has 75 (100.0%) missing valuesMissing
안내소유무 has 75 (100.0%) missing valuesMissing
기획여행보험시작일자 has 75 (100.0%) missing valuesMissing
기획여행보험종료일자 has 75 (100.0%) missing valuesMissing
보험시작일자 has 75 (100.0%) missing valuesMissing
보험종료일자 has 75 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:18:28.544803
Analysis finished2023-12-10 22:18:29.160636
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct18
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
성남시
19 
고양시
15 
수원시
10 
남양주시
4 
파주시
4 
Other values (13)
23 

Length

Max length4
Median length3
Mean length3.0666667
Min length3

Unique

Unique6 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 19
25.3%
고양시 15
20.0%
수원시 10
13.3%
남양주시 4
 
5.3%
파주시 4
 
5.3%
과천시 3
 
4.0%
양주시 3
 
4.0%
용인시 3
 
4.0%
안양시 2
 
2.7%
화성시 2
 
2.7%
Other values (8) 10
13.3%

Length

2023-12-11T07:18:29.213740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 19
25.3%
고양시 15
20.0%
수원시 10
13.3%
남양주시 4
 
5.3%
파주시 4
 
5.3%
과천시 3
 
4.0%
양주시 3
 
4.0%
용인시 3
 
4.0%
김포시 2
 
2.7%
구리시 2
 
2.7%
Other values (8) 10
13.3%

사업장명
Text

Distinct73
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-11T07:18:29.407042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length9.4133333
Min length4

Characters and Unicode

Total characters706
Distinct characters174
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)94.7%

Sample

1st row주식회사 티지에이치서포트
2nd row주식회사 스테이지온
3rd row한국교육방송공사
4th row(주)엠비씨플러스
5th row(주)엠비씨씨앤아이
ValueCountFrequency (%)
주식회사 22
 
20.8%
주)코리아미디어센터 2
 
1.9%
플러스케이 2
 
1.9%
유한회사 2
 
1.9%
재단법인 2
 
1.9%
세종연구소 2
 
1.9%
희망둥지협동조합 1
 
0.9%
주)에프씨에이 1
 
0.9%
아이캔컴퍼니 1
 
0.9%
mice 1
 
0.9%
Other values (70) 70
66.0%
2023-12-11T07:18:29.713505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 57
 
8.1%
( 39
 
5.5%
) 39
 
5.5%
31
 
4.4%
이 30
 
4.2%
사 27
 
3.8%
스 26
 
3.7%
회 25
 
3.5%
식 22
 
3.1%
씨 12
 
1.7%
Other values (164) 398
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 564
79.9%
Open Punctuation 39
 
5.5%
Close Punctuation 39
 
5.5%
Space Separator 31
 
4.4%
Uppercase Letter 26
 
3.7%
Lowercase Letter 6
 
0.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 57
 
10.1%
이 30
 
5.3%
사 27
 
4.8%
스 26
 
4.6%
회 25
 
4.4%
식 22
 
3.9%
씨 12
 
2.1%
인 11
 
2.0%
아 11
 
2.0%
케 10
 
1.8%
Other values (142) 333
59.0%
Uppercase Letter
ValueCountFrequency (%)
C 6
23.1%
E 5
19.2%
J 2
 
7.7%
S 2
 
7.7%
G 2
 
7.7%
R 2
 
7.7%
I 2
 
7.7%
M 1
 
3.8%
H 1
 
3.8%
T 1
 
3.8%
Other values (2) 2
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
y 1
16.7%
a 1
16.7%
n 1
16.7%
o 1
16.7%
m 1
16.7%
p 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 564
79.9%
Common 110
 
15.6%
Latin 32
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 57
 
10.1%
이 30
 
5.3%
사 27
 
4.8%
스 26
 
4.6%
회 25
 
4.4%
식 22
 
3.9%
씨 12
 
2.1%
인 11
 
2.0%
아 11
 
2.0%
케 10
 
1.8%
Other values (142) 333
59.0%
Latin
ValueCountFrequency (%)
C 6
18.8%
E 5
15.6%
J 2
 
6.2%
S 2
 
6.2%
G 2
 
6.2%
R 2
 
6.2%
I 2
 
6.2%
y 1
 
3.1%
a 1
 
3.1%
n 1
 
3.1%
Other values (8) 8
25.0%
Common
ValueCountFrequency (%)
( 39
35.5%
) 39
35.5%
31
28.2%
& 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 564
79.9%
ASCII 142
 
20.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 57
 
10.1%
이 30
 
5.3%
사 27
 
4.8%
스 26
 
4.6%
회 25
 
4.4%
식 22
 
3.9%
씨 12
 
2.1%
인 11
 
2.0%
아 11
 
2.0%
케 10
 
1.8%
Other values (142) 333
59.0%
ASCII
ValueCountFrequency (%)
( 39
27.5%
) 39
27.5%
31
21.8%
C 6
 
4.2%
E 5
 
3.5%
J 2
 
1.4%
S 2
 
1.4%
G 2
 
1.4%
R 2
 
1.4%
I 2
 
1.4%
Other values (12) 12
 
8.5%

인허가일자
Date

Distinct71
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2003-01-10 00:00:00
Maximum2023-11-30 00:00:00
2023-12-11T07:18:29.820567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:18:29.930528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

영업상태구분코드
Categorical

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
53 
13
20 
15
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.4
Min length1

Unique

Unique2 ?
Unique (%)2.7%

Sample

1st row13
2nd row13
3rd row13
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 53
70.7%
13 20
 
26.7%
15 1
 
1.3%
3 1
 
1.3%

Length

2023-12-11T07:18:30.031589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:30.124268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
70.7%
13 20
 
26.7%
15 1
 
1.3%
3 1
 
1.3%

영업상태명
Categorical

Distinct5
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
운영중
49 
영업중
20 
폐업 등
 
4
전출
 
1
폐업
 
1

Length

Max length4
Median length3
Mean length3.0266667
Min length2

Unique

Unique2 ?
Unique (%)2.7%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row운영중
5th row운영중

Common Values

ValueCountFrequency (%)
운영중 49
65.3%
영업중 20
26.7%
폐업 등 4
 
5.3%
전출 1
 
1.3%
폐업 1
 
1.3%

Length

2023-12-11T07:18:30.220463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:30.313110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 49
62.0%
영업중 20
25.3%
폐업 5
 
6.3%
등 4
 
5.1%
전출 1
 
1.3%

폐업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing70
Missing (%)93.3%
Memory size732.0 B
Minimum2009-12-31 00:00:00
Maximum2023-08-24 00:00:00
2023-12-11T07:18:30.386379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:18:30.457218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

소재지시설전화번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing65
Missing (%)86.7%
Memory size732.0 B
2023-12-11T07:18:30.579924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.7
Min length10

Characters and Unicode

Total characters117
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

Unique10 ?
Unique (%)100.0%

Sample

1st row02-526-2000
2nd row02-6959-0424
3rd row02-525-4721
4th row070-7576-3640
5th row031-8039-6684
ValueCountFrequency (%)
02-526-2000 1
10.0%
02-6959-0424 1
10.0%
02-525-4721 1
10.0%
070-7576-3640 1
10.0%
031-8039-6684 1
10.0%
031-752-5979 1
10.0%
0312693369 1
10.0%
031-306-9641 1
10.0%
02-794-2579 1
10.0%
031-941-1181 1
10.0%
2023-12-11T07:18:30.834601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18
15.4%
- 18
15.4%
2 12
10.3%
9 11
9.4%
1 11
9.4%
6 10
8.5%
3 10
8.5%
5 8
6.8%
4 8
6.8%
7 8
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
84.6%
Dash Punctuation 18
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
18.2%
2 12
12.1%
9 11
11.1%
1 11
11.1%
6 10
10.1%
3 10
10.1%
5 8
8.1%
4 8
8.1%
7 8
8.1%
8 3
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18
15.4%
- 18
15.4%
2 12
10.3%
9 11
9.4%
1 11
9.4%
6 10
8.5%
3 10
8.5%
5 8
6.8%
4 8
6.8%
7 8
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18
15.4%
- 18
15.4%
2 12
10.3%
9 11
9.4%
1 11
9.4%
6 10
8.5%
3 10
8.5%
5 8
6.8%
4 8
6.8%
7 8
6.8%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

도로명우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing53
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean13390.091
Minimum10128
Maximum18468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-11T07:18:30.947231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10128
5-th percentile10394.05
Q111369.25
median13275
Q315652.75
95-th percentile16520.65
Maximum18468
Range8340
Interquartile range (IQR)4283.5

Descriptive statistics

Standard deviation2453.8494
Coefficient of variation (CV)0.18325861
Kurtosis-0.82381939
Mean13390.091
Median Absolute Deviation (MAD)2157.5
Skewness0.46619801
Sum294582
Variance6021377
MonotonicityNot monotonic
2023-12-11T07:18:31.040642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
12284 2
 
2.7%
16514 2
 
2.7%
13112 1
 
1.3%
18468 1
 
1.3%
10881 1
 
1.3%
11415 1
 
1.3%
16489 1
 
1.3%
16521 1
 
1.3%
16257 1
 
1.3%
13105 1
 
1.3%
Other values (10) 10
 
13.3%
(Missing) 53
70.7%
ValueCountFrequency (%)
10128 1
1.3%
10393 1
1.3%
10414 1
1.3%
10595 1
1.3%
10881 1
1.3%
11354 1
1.3%
11415 1
1.3%
12284 2
2.7%
13105 1
1.3%
13112 1
1.3%
ValueCountFrequency (%)
18468 1
1.3%
16521 1
1.3%
16514 2
2.7%
16489 1
1.3%
16257 1
1.3%
13840 1
1.3%
13640 1
1.3%
13487 1
1.3%
13449 1
1.3%
13438 1
1.3%

소재지도로명주소
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-11T07:18:31.272137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length35.96
Min length18

Characters and Unicode

Total characters2697
Distinct characters241
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

Unique73 ?
Unique (%)97.3%

Sample

1st row경기도 고양시 덕양구 덕수천2로 150, e편한세상 시티 삼송2차 207동 1802호 (동산동)
2nd row경기도 고양시 일산동구 중앙로 1192, 601호 (마두동)
3rd row경기도 고양시 일산동구 한류월드로 281 (장항동)
4th row경기도 고양시 일산동구 호수로 596, 엠비씨드림센터 (장항동)
5th row경기도 고양시 일산동구 호수로 596, 5층 (장항동, 엠비씨드림센터)
ValueCountFrequency (%)
경기도 75
 
13.5%
성남시 19
 
3.4%
고양시 15
 
2.7%
분당구 13
 
2.3%
수원시 10
 
1.8%
일산동구 8
 
1.4%
4층 5
 
0.9%
1 5
 
0.9%
수정구 5
 
0.9%
장항동 5
 
0.9%
Other values (309) 396
71.2%
2023-12-11T07:18:31.647728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
486
 
18.0%
동 98
 
3.6%
1 84
 
3.1%
, 83
 
3.1%
2 78
 
2.9%
시 78
 
2.9%
기 77
 
2.9%
경 76
 
2.8%
도 75
 
2.8%
로 72
 
2.7%
Other values (231) 1490
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1497
55.5%
Space Separator 486
 
18.0%
Decimal Number 442
 
16.4%
Other Punctuation 83
 
3.1%
Open Punctuation 67
 
2.5%
Close Punctuation 67
 
2.5%
Uppercase Letter 36
 
1.3%
Dash Punctuation 14
 
0.5%
Lowercase Letter 4
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 98
 
6.5%
시 78
 
5.2%
기 77
 
5.1%
경 76
 
5.1%
도 75
 
5.0%
로 72
 
4.8%
구 55
 
3.7%
호 50
 
3.3%
양 31
 
2.1%
길 30
 
2.0%
Other values (194) 855
57.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
13.9%
A 4
11.1%
C 3
 
8.3%
I 3
 
8.3%
S 3
 
8.3%
E 3
 
8.3%
D 2
 
5.6%
M 2
 
5.6%
O 2
 
5.6%
V 1
 
2.8%
Other values (8) 8
22.2%
Decimal Number
ValueCountFrequency (%)
1 84
19.0%
2 78
17.6%
3 48
10.9%
0 47
10.6%
4 38
8.6%
5 38
8.6%
7 36
8.1%
6 27
 
6.1%
8 24
 
5.4%
9 22
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
k 1
25.0%
a 1
25.0%
Space Separator
ValueCountFrequency (%)
486
100.0%
Other Punctuation
ValueCountFrequency (%)
, 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1497
55.5%
Common 1159
43.0%
Latin 41
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 98
 
6.5%
시 78
 
5.2%
기 77
 
5.1%
경 76
 
5.1%
도 75
 
5.0%
로 72
 
4.8%
구 55
 
3.7%
호 50
 
3.3%
양 31
 
2.1%
길 30
 
2.0%
Other values (194) 855
57.1%
Latin
ValueCountFrequency (%)
B 5
12.2%
A 4
 
9.8%
C 3
 
7.3%
I 3
 
7.3%
S 3
 
7.3%
E 3
 
7.3%
D 2
 
4.9%
M 2
 
4.9%
O 2
 
4.9%
e 2
 
4.9%
Other values (12) 12
29.3%
Common
ValueCountFrequency (%)
486
41.9%
1 84
 
7.2%
, 83
 
7.2%
2 78
 
6.7%
( 67
 
5.8%
) 67
 
5.8%
3 48
 
4.1%
0 47
 
4.1%
4 38
 
3.3%
5 38
 
3.3%
Other values (5) 123
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1497
55.5%
ASCII 1199
44.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
486
40.5%
1 84
 
7.0%
, 83
 
6.9%
2 78
 
6.5%
( 67
 
5.6%
) 67
 
5.6%
3 48
 
4.0%
0 47
 
3.9%
4 38
 
3.2%
5 38
 
3.2%
Other values (26) 163
 
13.6%
Hangul
ValueCountFrequency (%)
동 98
 
6.5%
시 78
 
5.2%
기 77
 
5.1%
경 76
 
5.1%
도 75
 
5.0%
로 72
 
4.8%
구 55
 
3.7%
호 50
 
3.3%
양 31
 
2.1%
길 30
 
2.0%
Other values (194) 855
57.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지지번주소
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-11T07:18:31.867992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length26.68
Min length17

Characters and Unicode

Total characters2001
Distinct characters197
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)97.3%

Sample

1st row경기도 고양시 덕양구 동산동 368-2 e편한세상 시티 삼송2차
2nd row경기도 고양시 일산동구 마두동 798-5
3rd row경기도 고양시 일산동구 장항동 1775
4th row경기도 고양시 일산동구 장항동 869번지 엠비씨드림센터
5th row경기도 고양시 일산동구 장항동 869번지
ValueCountFrequency (%)
경기도 75
 
17.5%
성남시 19
 
4.4%
고양시 15
 
3.5%
분당구 13
 
3.0%
수원시 10
 
2.3%
일산동구 8
 
1.9%
장항동 5
 
1.2%
수정구 5
 
1.2%
파주시 4
 
0.9%
덕양구 4
 
0.9%
Other values (216) 271
63.2%
2023-12-11T07:18:32.243275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
372
 
18.6%
동 85
 
4.2%
시 79
 
3.9%
기 77
 
3.8%
경 75
 
3.7%
도 75
 
3.7%
1 75
 
3.7%
지 57
 
2.8%
구 55
 
2.7%
번 53
 
2.6%
Other values (187) 998
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1176
58.8%
Decimal Number 377
 
18.8%
Space Separator 372
 
18.6%
Dash Punctuation 51
 
2.5%
Uppercase Letter 20
 
1.0%
Lowercase Letter 4
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 85
 
7.2%
시 79
 
6.7%
기 77
 
6.5%
경 75
 
6.4%
도 75
 
6.4%
지 57
 
4.8%
구 55
 
4.7%
번 53
 
4.5%
양 30
 
2.6%
남 25
 
2.1%
Other values (156) 565
48.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
15.0%
S 3
15.0%
O 2
 
10.0%
K 1
 
5.0%
U 1
 
5.0%
H 1
 
5.0%
T 1
 
5.0%
V 1
 
5.0%
L 1
 
5.0%
W 1
 
5.0%
Other values (5) 5
25.0%
Decimal Number
ValueCountFrequency (%)
1 75
19.9%
2 53
14.1%
4 45
11.9%
3 38
10.1%
0 38
10.1%
6 37
9.8%
8 29
 
7.7%
5 27
 
7.2%
9 18
 
4.8%
7 17
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
k 1
25.0%
a 1
25.0%
Space Separator
ValueCountFrequency (%)
372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1176
58.8%
Common 801
40.0%
Latin 24
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 85
 
7.2%
시 79
 
6.7%
기 77
 
6.5%
경 75
 
6.4%
도 75
 
6.4%
지 57
 
4.8%
구 55
 
4.7%
번 53
 
4.5%
양 30
 
2.6%
남 25
 
2.1%
Other values (156) 565
48.0%
Latin
ValueCountFrequency (%)
E 3
 
12.5%
S 3
 
12.5%
O 2
 
8.3%
e 2
 
8.3%
K 1
 
4.2%
U 1
 
4.2%
H 1
 
4.2%
T 1
 
4.2%
V 1
 
4.2%
k 1
 
4.2%
Other values (8) 8
33.3%
Common
ValueCountFrequency (%)
372
46.4%
1 75
 
9.4%
2 53
 
6.6%
- 51
 
6.4%
4 45
 
5.6%
3 38
 
4.7%
0 38
 
4.7%
6 37
 
4.6%
8 29
 
3.6%
5 27
 
3.4%
Other values (3) 36
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1176
58.8%
ASCII 825
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
372
45.1%
1 75
 
9.1%
2 53
 
6.4%
- 51
 
6.2%
4 45
 
5.5%
3 38
 
4.6%
0 38
 
4.6%
6 37
 
4.5%
8 29
 
3.5%
5 27
 
3.3%
Other values (21) 60
 
7.3%
Hangul
ValueCountFrequency (%)
동 85
 
7.2%
시 79
 
6.7%
기 77
 
6.5%
경 75
 
6.4%
도 75
 
6.4%
지 57
 
4.8%
구 55
 
4.7%
번 53
 
4.5%
양 30
 
2.6%
남 25
 
2.1%
Other values (156) 565
48.0%

소재지우편번호
Real number (ℝ)

Distinct69
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126236.79
Minimum10126
Maximum482863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-11T07:18:32.361581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10126
5-th percentile10392.1
Q112259
median13616
Q3410371
95-th percentile464146.8
Maximum482863
Range472737
Interquartile range (IQR)398112

Descriptive statistics

Standard deviation189145.21
Coefficient of variation (CV)1.4983367
Kurtosis-0.8032693
Mean126236.79
Median Absolute Deviation (MAD)2873
Skewness1.0923952
Sum9467759
Variance3.577591 × 1010
MonotonicityNot monotonic
2023-12-11T07:18:32.537374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13590 2
 
2.7%
10403 2
 
2.7%
13486 2
 
2.7%
13449 2
 
2.7%
12284 2
 
2.7%
16514 2
 
2.7%
16225 1
 
1.3%
16521 1
 
1.3%
440812 1
 
1.3%
16303 1
 
1.3%
Other values (59) 59
78.7%
ValueCountFrequency (%)
10126 1
1.3%
10128 1
1.3%
10232 1
1.3%
10390 1
1.3%
10393 1
1.3%
10403 2
2.7%
10414 1
1.3%
10449 1
1.3%
10492 1
1.3%
10595 1
1.3%
ValueCountFrequency (%)
482863 1
1.3%
482050 1
1.3%
471817 1
1.3%
464893 1
1.3%
463827 1
1.3%
449934 1
1.3%
445813 1
1.3%
440841 1
1.3%
440812 1
1.3%
431849 1
1.3%

WGS84위도
Real number (ℝ)

Distinct70
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.498799
Minimum37.205065
Maximum37.902502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-11T07:18:32.674120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.205065
5-th percentile37.264502
Q137.36048
median37.446661
Q337.651593
95-th percentile37.842762
Maximum37.902502
Range0.69743748
Interquartile range (IQR)0.29111359

Descriptive statistics

Standard deviation0.18100778
Coefficient of variation (CV)0.0048270286
Kurtosis-0.7453776
Mean37.498799
Median Absolute Deviation (MAD)0.15113487
Skewness0.43074868
Sum2812.4099
Variance0.032763815
MonotonicityNot monotonic
2023-12-11T07:18:32.787909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.655532275 3
 
4.0%
37.5955908777 2
 
2.7%
37.4040275151 2
 
2.7%
37.4196158774 2
 
2.7%
37.6499546415 1
 
1.3%
37.2880507687 1
 
1.3%
37.2651314554 1
 
1.3%
37.295523379 1
 
1.3%
37.3051695929 1
 
1.3%
37.2630329048 1
 
1.3%
Other values (60) 60
80.0%
ValueCountFrequency (%)
37.2050645785 1
1.3%
37.2139050163 1
1.3%
37.2613715717 1
1.3%
37.2630329048 1
1.3%
37.2651314554 1
1.3%
37.2652290262 1
1.3%
37.2814113748 1
1.3%
37.287481312 1
1.3%
37.2880507687 1
1.3%
37.295523379 1
1.3%
ValueCountFrequency (%)
37.9025020542 1
1.3%
37.8895361989 1
1.3%
37.8826801368 1
1.3%
37.8666545623 1
1.3%
37.8325228525 1
1.3%
37.8203047458 1
1.3%
37.7239020207 1
1.3%
37.7094654668 1
1.3%
37.6925942463 1
1.3%
37.6690309166 1
1.3%

WGS84경도
Real number (ℝ)

Distinct70
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99465
Minimum126.68488
Maximum127.25672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-11T07:18:32.905727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68488
5-th percentile126.75189
Q1126.83092
median127.04343
Q3127.11162
95-th percentile127.20538
Maximum127.25672
Range0.57183634
Interquartile range (IQR)0.28070385

Descriptive statistics

Standard deviation0.1578482
Coefficient of variation (CV)0.0012429516
Kurtosis-1.1926428
Mean126.99465
Median Absolute Deviation (MAD)0.084755868
Skewness-0.44947742
Sum9524.5989
Variance0.024916055
MonotonicityNot monotonic
2023-12-11T07:18:33.015898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7704662907 3
 
4.0%
127.1722604163 2
 
2.7%
127.1000938918 2
 
2.7%
127.0984966378 2
 
2.7%
126.8950354655 1
 
1.3%
127.0606475494 1
 
1.3%
127.0614912591 1
 
1.3%
127.0256390158 1
 
1.3%
127.0018366299 1
 
1.3%
127.0359252625 1
 
1.3%
Other values (60) 60
80.0%
ValueCountFrequency (%)
126.6848844686 1
 
1.3%
126.7401867774 1
 
1.3%
126.7425509477 1
 
1.3%
126.7456041294 1
 
1.3%
126.7545779344 1
 
1.3%
126.7588831055 1
 
1.3%
126.7602807683 1
 
1.3%
126.7678291639 1
 
1.3%
126.7696470689 1
 
1.3%
126.7704662907 3
4.0%
ValueCountFrequency (%)
127.2567208098 1
1.3%
127.2500600444 1
1.3%
127.2107161632 1
1.3%
127.2078084404 1
1.3%
127.2043454128 1
1.3%
127.1722604163 2
2.7%
127.1445355207 1
1.3%
127.1434574945 1
1.3%
127.1428461812 1
1.3%
127.142777978 1
1.3%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

X좌표값
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing53
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean201034.81
Minimum172145.87
Maximum215139.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-11T07:18:33.136954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172145.87
5-th percentile178319.89
Q1198383.86
median205292.61
Q3208900.44
95-th percentile215011
Maximum215139.95
Range42994.081
Interquartile range (IQR)10516.578

Descriptive statistics

Standard deviation12809.93
Coefficient of variation (CV)0.063719961
Kurtosis0.15681743
Mean201034.81
Median Absolute Deviation (MAD)5703.4617
Skewness-1.1413227
Sum4422765.7
Variance1.6409431 × 108
MonotonicityNot monotonic
2023-12-11T07:18:33.240627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
215139.954217956 2
 
2.7%
208241.11260111 1
 
1.3%
208852.766485422 1
 
1.3%
172145.873107372 1
 
1.3%
199780.54527596 1
 
1.3%
202836.499702032 1
 
1.3%
205377.468127778 1
 
1.3%
205311.283256449 1
 
1.3%
205273.931816708 1
 
1.3%
201494.567620052 1
 
1.3%
Other values (11) 11
 
14.7%
(Missing) 53
70.7%
ValueCountFrequency (%)
172145.873107372 1
1.3%
178303.197198375 1
1.3%
178637.147949653 1
1.3%
180297.157757027 1
1.3%
190688.144401272 1
1.3%
197918.302255043 1
1.3%
199780.54527596 1
1.3%
201494.567620052 1
1.3%
202836.499702032 1
1.3%
204677.472772772 1
1.3%
ValueCountFrequency (%)
215139.954217956 2
2.7%
212560.960312092 1
1.3%
211276.518223594 1
1.3%
211187.468774474 1
1.3%
208916.333065901 1
1.3%
208852.766485422 1
1.3%
208709.069429196 1
1.3%
208241.11260111 1
1.3%
205377.468127778 1
1.3%
205311.283256449 1
1.3%

Y좌표값
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing53
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean443158.62
Minimum412511.17
Maximum486687.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-11T07:18:33.337037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum412511.17
5-th percentile418137.54
Q1423800.52
median438158.5
Q3459357.5
95-th percentile480426.03
Maximum486687.13
Range74175.962
Interquartile range (IQR)35556.983

Descriptive statistics

Standard deviation21215.225
Coefficient of variation (CV)0.047872756
Kurtosis-0.69502695
Mean443158.62
Median Absolute Deviation (MAD)17511.706
Skewness0.41777881
Sum9749489.7
Variance4.5008577 × 108
MonotonicityNot monotonic
2023-12-11T07:18:33.459856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
454827.048367444 2
 
2.7%
436135.872763869 1
 
1.3%
412511.171850892 1
 
1.3%
467502.097008865 1
 
1.3%
481106.239871075 1
 
1.3%
418142.319944071 1
 
1.3%
418137.288094922 1
 
1.3%
420682.801161761 1
 
1.3%
420610.782510294 1
 
1.3%
419939.985034286 1
 
1.3%
Other values (11) 11
 
14.7%
(Missing) 53
70.7%
ValueCountFrequency (%)
412511.171850892 1
1.3%
418137.288094922 1
1.3%
418142.319944071 1
1.3%
419939.985034286 1
1.3%
420610.782510294 1
1.3%
420682.801161761 1
1.3%
433153.668805477 1
1.3%
434646.387855287 1
1.3%
435016.894328964 1
1.3%
435066.679999415 1
1.3%
ValueCountFrequency (%)
486687.133506915 1
1.3%
481106.239871075 1
1.3%
467502.097008865 1
1.3%
462169.171318365 1
1.3%
461229.923097764 1
1.3%
460768.835144725 1
1.3%
455123.499664982 1
1.3%
454827.048367444 2
2.7%
441023.737503288 1
1.3%
440181.12286555 1
1.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
국제회의기획업
75 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제회의기획업 75
100.0%

Length

2023-12-11T07:18:33.595241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:33.676913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제회의기획업 75
100.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
67 
관광사업
8 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
89.3%
관광사업 8
 
10.7%

Length

2023-12-11T07:18:33.760477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:33.844928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
89.3%
관광사업 8
 
10.7%

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing74
Missing (%)98.7%
Memory size732.0 B
2023-12-11T07:18:33.939513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row근린상업지역
ValueCountFrequency (%)
근린상업지역 1
100.0%
2023-12-11T07:18:34.143782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

총층수
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
56 
0
19 

Length

Max length4
Median length4
Mean length3.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
74.7%
0 19
 
25.3%

Length

2023-12-11T07:18:34.249483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:34.334862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
74.7%
0 19
 
25.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

지상층수
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
56 
0
19 

Length

Max length4
Median length4
Mean length3.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
74.7%
0 19
 
25.3%

Length

2023-12-11T07:18:34.693586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:34.802514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
74.7%
0 19
 
25.3%

지하층수
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
56 
0
19 

Length

Max length4
Median length4
Mean length3.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
74.7%
0 19
 
25.3%

Length

2023-12-11T07:18:34.917059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:35.027689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
74.7%
0 19
 
25.3%

객실수
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
56 
0
19 

Length

Max length4
Median length4
Mean length3.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
74.7%
0 19
 
25.3%

Length

2023-12-11T07:18:35.179464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:35.321960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
74.7%
0 19
 
25.3%

영문상호명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing73
Missing (%)97.3%
Memory size732.0 B
2023-12-11T07:18:35.424774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11.5
Mean length11.5
Min length6

Characters and Unicode

Total characters23
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowOCMAKERS Co., Ltd
2nd rowPlus K
ValueCountFrequency (%)
ocmakers 1
20.0%
co 1
20.0%
ltd 1
20.0%
plus 1
20.0%
k 1
20.0%
2023-12-11T07:18:35.642369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
 
13.0%
K 2
 
8.7%
C 2
 
8.7%
O 1
 
4.3%
, 1
 
4.3%
u 1
 
4.3%
l 1
 
4.3%
P 1
 
4.3%
d 1
 
4.3%
t 1
 
4.3%
Other values (9) 9
39.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 12
52.2%
Lowercase Letter 6
26.1%
Space Separator 3
 
13.0%
Other Punctuation 2
 
8.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 2
16.7%
C 2
16.7%
O 1
8.3%
P 1
8.3%
L 1
8.3%
S 1
8.3%
R 1
8.3%
E 1
8.3%
A 1
8.3%
M 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
u 1
16.7%
l 1
16.7%
d 1
16.7%
t 1
16.7%
o 1
16.7%
s 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18
78.3%
Common 5
 
21.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 2
 
11.1%
C 2
 
11.1%
O 1
 
5.6%
u 1
 
5.6%
l 1
 
5.6%
P 1
 
5.6%
d 1
 
5.6%
t 1
 
5.6%
L 1
 
5.6%
o 1
 
5.6%
Other values (6) 6
33.3%
Common
ValueCountFrequency (%)
3
60.0%
, 1
 
20.0%
. 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
 
13.0%
K 2
 
8.7%
C 2
 
8.7%
O 1
 
4.3%
, 1
 
4.3%
u 1
 
4.3%
l 1
 
4.3%
P 1
 
4.3%
d 1
 
4.3%
t 1
 
4.3%
Other values (9) 9
39.1%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing73
Missing (%)97.3%
Memory size732.0 B
2023-12-11T07:18:35.762469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length32
Mean length32
Min length31

Characters and Unicode

Total characters64
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowPROFESSIONAL CONGRESS ORGANIZER
2nd rowProfessional Convention Organizer
ValueCountFrequency (%)
professional 2
33.3%
organizer 2
33.3%
congress 1
16.7%
convention 1
16.7%
2023-12-11T07:18:36.006809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 5
 
7.8%
n 5
 
7.8%
R 4
 
6.2%
S 4
 
6.2%
4
 
6.2%
o 4
 
6.2%
E 3
 
4.7%
i 3
 
4.7%
N 3
 
4.7%
e 3
 
4.7%
Other values (17) 26
40.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 32
50.0%
Lowercase Letter 28
43.8%
Space Separator 4
 
6.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 5
15.6%
R 4
12.5%
S 4
12.5%
E 3
9.4%
N 3
9.4%
P 2
 
6.2%
C 2
 
6.2%
G 2
 
6.2%
A 2
 
6.2%
I 2
 
6.2%
Other values (3) 3
9.4%
Lowercase Letter
ValueCountFrequency (%)
n 5
17.9%
o 4
14.3%
i 3
10.7%
e 3
10.7%
r 3
10.7%
s 2
 
7.1%
a 2
 
7.1%
l 1
 
3.6%
v 1
 
3.6%
t 1
 
3.6%
Other values (3) 3
10.7%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 60
93.8%
Common 4
 
6.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 5
 
8.3%
n 5
 
8.3%
R 4
 
6.7%
S 4
 
6.7%
o 4
 
6.7%
E 3
 
5.0%
i 3
 
5.0%
N 3
 
5.0%
e 3
 
5.0%
r 3
 
5.0%
Other values (16) 23
38.3%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 5
 
7.8%
n 5
 
7.8%
R 4
 
6.2%
S 4
 
6.2%
4
 
6.2%
o 4
 
6.2%
E 3
 
4.7%
i 3
 
4.7%
N 3
 
4.7%
e 3
 
4.7%
Other values (17) 26
40.6%

선박총톤수
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
56 
0
19 

Length

Max length4
Median length4
Mean length3.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
74.7%
0 19
 
25.3%

Length

2023-12-11T07:18:36.116656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:36.226329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
74.7%
0 19
 
25.3%

선박수
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
56 
0
19 

Length

Max length4
Median length4
Mean length3.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
74.7%
0 19
 
25.3%

Length

2023-12-11T07:18:36.316146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:36.410968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
74.7%
0 19
 
25.3%

선박제원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

무대면적
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
56 
0
19 

Length

Max length4
Median length4
Mean length3.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
74.7%
0 19
 
25.3%

Length

2023-12-11T07:18:36.518326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:36.612640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
74.7%
0 19
 
25.3%

기념품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

회의실동시수용인원수
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
56 
0
19 

Length

Max length4
Median length4
Mean length3.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
74.7%
0 19
 
25.3%

Length

2023-12-11T07:18:36.714880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:36.808589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
74.7%
0 19
 
25.3%

시설면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
55 
0.0
16 
73.71
 
1
68.12
 
1
276.0
 
1

Length

Max length5
Median length4
Mean length3.8266667
Min length3

Unique

Unique4 ?
Unique (%)5.3%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 55
73.3%
0.0 16
 
21.3%
73.71 1
 
1.3%
68.12 1
 
1.3%
276.0 1
 
1.3%
36.4 1
 
1.3%

Length

2023-12-11T07:18:36.916123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:37.018870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
73.3%
0.0 16
 
21.3%
73.71 1
 
1.3%
68.12 1
 
1.3%
276.0 1
 
1.3%
36.4 1
 
1.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
56 
0
19 

Length

Max length4
Median length4
Mean length3.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
74.7%
0 19
 
25.3%

Length

2023-12-11T07:18:37.120214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:37.208213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
74.7%
0 19
 
25.3%

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

시설규모
Categorical

IMBALANCE 

Distinct6
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
55 
0
16 
74
 
1
68
 
1
276
 
1

Length

Max length4
Median length4
Mean length3.2666667
Min length1

Unique

Unique4 ?
Unique (%)5.3%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 55
73.3%
0 16
 
21.3%
74 1
 
1.3%
68 1
 
1.3%
276 1
 
1.3%
36 1
 
1.3%

Length

2023-12-11T07:18:37.297801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:37.396228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
73.3%
0 16
 
21.3%
74 1
 
1.3%
68 1
 
1.3%
276 1
 
1.3%
36 1
 
1.3%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명지상층수지하층수객실수영문상호명영문상호주소선박총톤수선박수선박제원내용무대면적기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자보험시작일자보험종료일자시설규모
0고양시주식회사 티지에이치서포트2023-11-30<NA>13영업중<NA><NA><NA>10595경기도 고양시 덕양구 덕수천2로 150, e편한세상 시티 삼송2차 207동 1802호 (동산동)경기도 고양시 덕양구 동산동 368-2 e편한세상 시티 삼송2차1059537.649955126.895035<NA>190688.144401460768.835145국제회의기획업<NA><NA>0<NA><NA><NA>000<NA><NA>00<NA>0<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA><NA>0
1고양시주식회사 스테이지온2023-09-21<NA>13영업중<NA><NA><NA>10414경기도 고양시 일산동구 중앙로 1192, 601호 (마두동)경기도 고양시 일산동구 마두동 798-51041437.653232126.777495<NA>180297.157757461229.923098국제회의기획업<NA><NA>0<NA><NA><NA>000<NA><NA>00<NA>0<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA><NA>0
2고양시한국교육방송공사2023-08-25<NA>13영업중<NA>02-526-2000<NA>10393경기도 고양시 일산동구 한류월드로 281 (장항동)경기도 고양시 일산동구 장항동 17751039337.661751126.754578<NA>178303.197198462169.171318국제회의기획업<NA><NA>0<NA><NA><NA>000<NA><NA>00<NA>0<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA><NA>0
3고양시(주)엠비씨플러스20140416<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 호수로 596, 엠비씨드림센터 (장항동)경기도 고양시 일산동구 장항동 869번지 엠비씨드림센터1040337.655532126.770466<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4고양시(주)엠비씨씨앤아이20110607<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 호수로 596, 5층 (장항동, 엠비씨드림센터)경기도 고양시 일산동구 장항동 869번지1040337.655532126.770466<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5고양시(주)엑스포마이스20140422<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 한류월드로 407 (대화동)경기도 고양시 일산서구 대화동 1396-53번지41180237.666576126.742551<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6고양시(주)인텔리전스20130701<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 덕양구 고양대로 1393, 407호 (성사동, 고양지식정보산업진흥원)경기도 고양시 덕양구 성사동 704-10번지 고양지식정보산업진흥원 407호41280737.654269126.838963<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7고양시(주)킨텍스20100524<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 킨텍스로 217-60 (대화동, 킨텍스)경기도 고양시 일산서구 대화동 2600번지1039037.669031126.745604<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8고양시(주)엠비씨아트20080321<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 호수로 596 (장항동, 일산방송컴플렉스방송국)경기도 고양시 일산동구 장항동 869번지 일산방송컴플렉스방송국41038237.655532126.770466<NA><NA><NA>국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9고양시(주)코래드20080506<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 탄중로 137 (덕이동)경기도 고양시 일산서구 덕이동 245번지1023237.692594126.760281<NA><NA><NA>국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명지상층수지하층수객실수영문상호명영문상호주소선박총톤수선박수선박제원내용무대면적기념품종류명회의실동시수용인원수시설면적놀이기구수내역놀이시설수발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자보험시작일자보험종료일자시설규모
65용인시(주)메이트라인20111229<NA><NA>운영중<NA><NA><NA><NA>경기도 용인시 기흥구 마북로154번길 3, 4층 (마북동, 테라스가든 B빌딩)경기도 용인시 기흥구 마북동 182-15번지1691137.303746127.123995<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
66용인시(주)스토리앤플랜20160616<NA><NA>운영중<NA><NA><NA><NA>경기도 용인시 기흥구 죽현로 8-22, 305호 (보정동, 휴먼타워)경기도 용인시 기흥구 보정동 1261-1번지1689737.319769127.108972<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67용인시유한회사 성앤드민엠아이씨이컨설팅20030110<NA><NA>폐업 등20180209<NA><NA><NA>경기도 용인시 처인구 포곡로5번길 22 (유방동)경기도 용인시 처인구 유방동 141-18번지44993437.261372127.210716<NA><NA><NA>국제회의기획업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
68파주시주식회사 더넥스트2023-06-23<NA>13영업중<NA>031-941-1181<NA>10881경기도 파주시 광인사길 37, 3층 303호 (문발동)경기도 파주시 문발동 520-111088137.709465126.684884<NA>172145.873107467502.097009국제회의기획업<NA><NA>0<NA><NA><NA>000<NA><NA>00<NA>0<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA><NA>0
69파주시(주)라온피플20170912<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 문산읍 장산로189번길 46, 2층경기도 파주시 문산읍 장산리 272-2번지1080837.902502126.775337<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
70파주시한서개발(주)20111107<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 문산읍 임진각로 177경기도 파주시 문산읍 사목리 494-1번지41390137.889536126.740187<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
71파주시주식회사 씨엘엠지20140211<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 상지석길 418-178 (상지석동)경기도 파주시 상지석동 137번지1091137.723902126.785955<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
72하남시새로운렌탈20161027<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 미사동로40번길 75-19 (미사동)경기도 하남시 미사동 468번지1290037.568707127.204345<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73화성시주식회사 티엔지컴퍼니(T&G Company)2023-06-20<NA>13영업중<NA><NA><NA>18468경기도 화성시 동탄대로 677-5, 802호 (영천동)경기도 화성시 영천동 848-11846837.213905127.099702<NA>208852.766485412511.171851국제회의기획업<NA><NA>0<NA><NA><NA>000<NA><NA>00<NA>0<NA>036.4<NA>0<NA><NA><NA><NA><NA><NA><NA>36
74화성시(주)중앙고속20110801<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 동탄면 풀무골로 1경기도 화성시 동탄면 중리 423-9번지44581337.205065127.125217<NA><NA><NA>국제회의기획업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>