Overview

Dataset statistics

Number of variables18
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.4 KiB
Average record size in memory149.3 B

Variable types

Numeric3
Categorical8
Text6
DateTime1

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
우편번호 is highly overall correlated with 시군명High correlation
분류코드 is highly overall correlated with 표준중분류 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with 우편번호High correlation
표준중분류 is highly overall correlated with 분류코드 and 1 other fieldsHigh correlation
업체유형 is highly overall correlated with 분류코드 and 1 other fieldsHigh correlation
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 03:13:07.278795
Analysis finished2024-03-14 03:13:10.186528
Duration2.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-03-14T12:13:10.252170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q125.5
median50
Q374.5
95-th percentile94.1
Maximum99
Range98
Interquartile range (IQR)49

Descriptive statistics

Standard deviation28.722813
Coefficient of variation (CV)0.57445626
Kurtosis-1.2
Mean50
Median Absolute Deviation (MAD)25
Skewness0
Sum4950
Variance825
MonotonicityStrictly increasing
2024-03-14T12:13:10.369616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
64 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%

시군명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
군산시
34 
익산시
21 
전주시
20 
김제시
9 
완주군
8 
Other values (5)
7 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row전주시
2nd row전주시
3rd row익산시
4th row김제시
5th row전주시

Common Values

ValueCountFrequency (%)
군산시 34
34.3%
익산시 21
21.2%
전주시 20
20.2%
김제시 9
 
9.1%
완주군 8
 
8.1%
순창군 2
 
2.0%
정읍시 2
 
2.0%
남원시 1
 
1.0%
장수군 1
 
1.0%
무주군 1
 
1.0%

Length

2024-03-14T12:13:10.472103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:10.590836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
군산시 34
34.3%
익산시 21
21.2%
전주시 20
20.2%
김제시 9
 
9.1%
완주군 8
 
8.1%
순창군 2
 
2.0%
정읍시 2
 
2.0%
남원시 1
 
1.0%
장수군 1
 
1.0%
무주군 1
 
1.0%

한글회사명
Text

Distinct98
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-03-14T12:13:10.801711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.3838384
Min length2

Characters and Unicode

Total characters830
Distinct characters205
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)98.0%

Sample

1st row(유)우빈
2nd row(유)한국지티에이치알
3rd row(주)남영스타킹
4th row(주)동성유리코리아
5th row(주)바이오비스코
ValueCountFrequency (%)
주식회사 13
 
11.2%
서남태양광발전 2
 
1.7%
홍암실업 1
 
0.9%
익산무역 1
 
0.9%
주식회사세보산업 1
 
0.9%
준업화섬 1
 
0.9%
필로스스포츠인터내셔널 1
 
0.9%
중앙건설 1
 
0.9%
장원에너지 1
 
0.9%
유영정공 1
 
0.9%
Other values (93) 93
80.2%
2024-03-14T12:13:11.108862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 61
 
7.3%
) 44
 
5.3%
( 44
 
5.3%
스 29
 
3.5%
리 27
 
3.3%
아 27
 
3.3%
이 24
 
2.9%
사 24
 
2.9%
식 21
 
2.5%
회 21
 
2.5%
Other values (195) 508
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 724
87.2%
Close Punctuation 44
 
5.3%
Open Punctuation 44
 
5.3%
Space Separator 17
 
2.0%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 61
 
8.4%
스 29
 
4.0%
리 27
 
3.7%
아 27
 
3.7%
이 24
 
3.3%
사 24
 
3.3%
식 21
 
2.9%
회 21
 
2.9%
코 21
 
2.9%
한 13
 
1.8%
Other values (191) 456
63.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 724
87.2%
Common 106
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 61
 
8.4%
스 29
 
4.0%
리 27
 
3.7%
아 27
 
3.7%
이 24
 
3.3%
사 24
 
3.3%
식 21
 
2.9%
회 21
 
2.9%
코 21
 
2.9%
한 13
 
1.8%
Other values (191) 456
63.0%
Common
ValueCountFrequency (%)
) 44
41.5%
( 44
41.5%
17
 
16.0%
1 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 724
87.2%
ASCII 106
 
12.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 61
 
8.4%
스 29
 
4.0%
리 27
 
3.7%
아 27
 
3.7%
이 24
 
3.3%
사 24
 
3.3%
식 21
 
2.9%
회 21
 
2.9%
코 21
 
2.9%
한 13
 
1.8%
Other values (191) 456
63.0%
ASCII
ValueCountFrequency (%)
) 44
41.5%
( 44
41.5%
17
 
16.0%
1 1
 
0.9%

영문회사명
Text

Distinct85
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-03-14T12:13:11.394128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length18.515152
Min length1

Characters and Unicode

Total characters1833
Distinct characters47
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)83.8%

Sample

1st rowWOO-BIN CO.,LTD
2nd rowKorea GTHR Company Limited
3rd row-
4th rowDONG SUNG GLASS KOREA CO.,LTD.
5th rowBIO-VISCO INC.
ValueCountFrequency (%)
ltd 24
 
8.3%
korea 23
 
7.9%
co 22
 
7.6%
16
 
5.5%
co.,ltd 16
 
5.5%
trading 7
 
2.4%
inc 6
 
2.1%
corporation 5
 
1.7%
limited 4
 
1.4%
energy 3
 
1.0%
Other values (146) 164
56.6%
2024-03-14T12:13:11.808510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
10.4%
O 153
 
8.3%
A 130
 
7.1%
C 114
 
6.2%
T 111
 
6.1%
N 105
 
5.7%
E 104
 
5.7%
L 92
 
5.0%
R 90
 
4.9%
I 84
 
4.6%
Other values (37) 659
36.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1426
77.8%
Space Separator 191
 
10.4%
Other Punctuation 119
 
6.5%
Lowercase Letter 74
 
4.0%
Dash Punctuation 23
 
1.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 153
10.7%
A 130
 
9.1%
C 114
 
8.0%
T 111
 
7.8%
N 105
 
7.4%
E 104
 
7.3%
L 92
 
6.5%
R 90
 
6.3%
I 84
 
5.9%
S 69
 
4.8%
Other values (16) 374
26.2%
Lowercase Letter
ValueCountFrequency (%)
o 10
13.5%
a 9
12.2%
e 8
10.8%
r 7
9.5%
d 6
8.1%
i 6
8.1%
t 5
6.8%
m 5
6.8%
n 4
 
5.4%
l 3
 
4.1%
Other values (6) 11
14.9%
Other Punctuation
ValueCountFrequency (%)
. 76
63.9%
, 39
32.8%
& 4
 
3.4%
Space Separator
ValueCountFrequency (%)
191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1500
81.8%
Common 333
 
18.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 153
 
10.2%
A 130
 
8.7%
C 114
 
7.6%
T 111
 
7.4%
N 105
 
7.0%
E 104
 
6.9%
L 92
 
6.1%
R 90
 
6.0%
I 84
 
5.6%
S 69
 
4.6%
Other values (32) 448
29.9%
Common
ValueCountFrequency (%)
191
57.4%
. 76
 
22.8%
, 39
 
11.7%
- 23
 
6.9%
& 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1833
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
 
10.4%
O 153
 
8.3%
A 130
 
7.1%
C 114
 
6.2%
T 111
 
6.1%
N 105
 
5.7%
E 104
 
5.7%
L 92
 
5.0%
R 90
 
4.9%
I 84
 
4.6%
Other values (37) 659
36.0%

전화번호
Text

Distinct73
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-03-14T12:13:12.022609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.1313131
Min length1

Characters and Unicode

Total characters904
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)71.7%

Sample

1st row-
2nd row-
3rd row063-834-3778
4th row063-547-7202
5th row063-270-4844
ValueCountFrequency (%)
26
26.3%
063-452-2002 2
 
2.0%
063-841-9622 1
 
1.0%
063-445-6234 1
 
1.0%
02-6261-3140 1
 
1.0%
063-445-9533 1
 
1.0%
063-466-2161 1
 
1.0%
02-6201-4820 1
 
1.0%
063-333-6128 1
 
1.0%
063-833-3310 1
 
1.0%
Other values (63) 63
63.6%
2024-03-14T12:13:12.316783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 172
19.0%
0 137
15.2%
3 123
13.6%
6 98
10.8%
2 91
10.1%
4 67
 
7.4%
1 55
 
6.1%
5 49
 
5.4%
8 48
 
5.3%
7 42
 
4.6%
Other values (2) 22
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 729
80.6%
Dash Punctuation 172
 
19.0%
Math Symbol 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 137
18.8%
3 123
16.9%
6 98
13.4%
2 91
12.5%
4 67
9.2%
1 55
7.5%
5 49
 
6.7%
8 48
 
6.6%
7 42
 
5.8%
9 19
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 904
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 172
19.0%
0 137
15.2%
3 123
13.6%
6 98
10.8%
2 91
10.1%
4 67
 
7.4%
1 55
 
6.1%
5 49
 
5.4%
8 48
 
5.3%
7 42
 
4.6%
Other values (2) 22
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 172
19.0%
0 137
15.2%
3 123
13.6%
6 98
10.8%
2 91
10.1%
4 67
 
7.4%
1 55
 
6.1%
5 49
 
5.4%
8 48
 
5.3%
7 42
 
4.6%
Other values (2) 22
 
2.4%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54599.798
Minimum54001
Maximum56161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-03-14T12:13:12.445587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54001
5-th percentile54001
Q154023.5
median54570
Q354965
95-th percentile55629.1
Maximum56161
Range2160
Interquartile range (IQR)941.5

Descriptive statistics

Standard deviation558.73737
Coefficient of variation (CV)0.010233323
Kurtosis0.18487863
Mean54599.798
Median Absolute Deviation (MAD)460
Skewness0.83241747
Sum5405380
Variance312187.45
MonotonicityNot monotonic
2024-03-14T12:13:12.555397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54001 11
 
11.1%
54004 7
 
7.1%
54630 4
 
4.0%
54368 4
 
4.0%
54524 3
 
3.0%
55321 3
 
3.0%
55030 2
 
2.0%
54588 2
 
2.0%
54325 2
 
2.0%
54631 2
 
2.0%
Other values (54) 59
59.6%
ValueCountFrequency (%)
54001 11
11.1%
54004 7
7.1%
54006 1
 
1.0%
54007 2
 
2.0%
54008 2
 
2.0%
54018 1
 
1.0%
54021 1
 
1.0%
54026 1
 
1.0%
54029 1
 
1.0%
54046 1
 
1.0%
ValueCountFrequency (%)
56161 1
 
1.0%
56137 1
 
1.0%
56021 2
2.0%
55729 1
 
1.0%
55618 1
 
1.0%
55510 1
 
1.0%
55346 1
 
1.0%
55323 2
2.0%
55321 3
3.0%
55319 1
 
1.0%

도로명주소
Text

Distinct89
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-03-14T12:13:12.819881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length14.474747
Min length10

Characters and Unicode

Total characters1433
Distinct characters133
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)83.8%

Sample

1st row전주시 덕진구 한배미3길 21
2nd row전주시 덕진구 반룡로 109
3rd row익산시 약촌로8길 61-5
4th row김제시 순동산단길 248
5th row전주시 덕진구 백제대로 567
ValueCountFrequency (%)
군산시 34
 
9.8%
익산시 21
 
6.1%
전주시 20
 
5.8%
덕진구 14
 
4.0%
김제시 9
 
2.6%
완주군 8
 
2.3%
자유로 7
 
2.0%
봉동읍 6
 
1.7%
완산구 6
 
1.7%
482 5
 
1.4%
Other values (179) 216
62.4%
2024-03-14T12:13:13.212251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
 
17.2%
시 87
 
6.1%
산 87
 
6.1%
1 77
 
5.4%
로 55
 
3.8%
길 49
 
3.4%
2 48
 
3.3%
군 47
 
3.3%
3 44
 
3.1%
주 36
 
2.5%
Other values (123) 656
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 826
57.6%
Decimal Number 329
 
23.0%
Space Separator 247
 
17.2%
Dash Punctuation 31
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 87
 
10.5%
산 87
 
10.5%
로 55
 
6.7%
길 49
 
5.9%
군 47
 
5.7%
주 36
 
4.4%
익 22
 
2.7%
면 22
 
2.7%
구 22
 
2.7%
전 21
 
2.5%
Other values (111) 378
45.8%
Decimal Number
ValueCountFrequency (%)
1 77
23.4%
2 48
14.6%
3 44
13.4%
7 30
 
9.1%
6 28
 
8.5%
4 24
 
7.3%
8 23
 
7.0%
5 21
 
6.4%
9 18
 
5.5%
0 16
 
4.9%
Space Separator
ValueCountFrequency (%)
247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 826
57.6%
Common 607
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 87
 
10.5%
산 87
 
10.5%
로 55
 
6.7%
길 49
 
5.9%
군 47
 
5.7%
주 36
 
4.4%
익 22
 
2.7%
면 22
 
2.7%
구 22
 
2.7%
전 21
 
2.5%
Other values (111) 378
45.8%
Common
ValueCountFrequency (%)
247
40.7%
1 77
 
12.7%
2 48
 
7.9%
3 44
 
7.2%
- 31
 
5.1%
7 30
 
4.9%
6 28
 
4.6%
4 24
 
4.0%
8 23
 
3.8%
5 21
 
3.5%
Other values (2) 34
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 826
57.6%
ASCII 607
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
40.7%
1 77
 
12.7%
2 48
 
7.9%
3 44
 
7.2%
- 31
 
5.1%
7 30
 
4.9%
6 28
 
4.6%
4 24
 
4.0%
8 23
 
3.8%
5 21
 
3.5%
Other values (2) 34
 
5.6%
Hangul
ValueCountFrequency (%)
시 87
 
10.5%
산 87
 
10.5%
로 55
 
6.7%
길 49
 
5.9%
군 47
 
5.7%
주 36
 
4.4%
익 22
 
2.7%
면 22
 
2.7%
구 22
 
2.7%
전 21
 
2.5%
Other values (111) 378
45.8%

표준중분류
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size924.0 B
도/소매(유통)
22 
화공
18 
운송용기계
8 
금속
7 
기계/장비
6 
Other values (17)
38 

Length

Max length8
Median length6
Mean length5
Min length2

Unique

Unique8 ?
Unique (%)8.1%

Sample

1st row부동산/임대
2nd row화공
3rd row섬유/직물/의류
4th row비금속광물
5th row비즈니스서비스업

Common Values

ValueCountFrequency (%)
도/소매(유통) 22
22.2%
화공 18
18.2%
운송용기계 8
 
8.1%
금속 7
 
7.1%
기계/장비 6
 
6.1%
섬유/직물/의류 5
 
5.1%
식품 5
 
5.1%
전기/전자 4
 
4.0%
비금속광물 3
 
3.0%
전기/가스 3
 
3.0%
Other values (12) 18
18.2%

Length

2024-03-14T12:13:13.330154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도/소매(유통 22
22.2%
화공 18
18.2%
운송용기계 8
 
8.1%
금속 7
 
7.1%
기계/장비 6
 
6.1%
섬유/직물/의류 5
 
5.1%
식품 5
 
5.1%
전기/전자 4
 
4.0%
부동산/임대 3
 
3.0%
음식/숙박 3
 
3.0%
Other values (12) 18
18.2%

표준분류명
Text

Distinct67
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-03-14T12:13:13.590780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length13.838384
Min length5

Characters and Unicode

Total characters1370
Distinct characters173
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)50.5%

Sample

1st row기타 부동산 임대업
2nd row그외 기타 분류안된 화학제품 제조업
3rd row스타킹 및 기타양말 제조업
4th row그외 기타 유리제품 제조업
5th row기타 기술 시험, 검사 및 분석업
ValueCountFrequency (%)
제조업 52
 
13.3%
기타 47
 
12.0%
및 39
 
10.0%
그외 17
 
4.3%
도매업 14
 
3.6%
상품 9
 
2.3%
기계 8
 
2.0%
종합 8
 
2.0%
자동차 7
 
1.8%
부품 7
 
1.8%
Other values (126) 183
46.8%
2024-03-14T12:13:13.983412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
292
21.3%
업 102
 
7.4%
제 73
 
5.3%
기 68
 
5.0%
조 59
 
4.3%
타 51
 
3.7%
및 39
 
2.8%
품 37
 
2.7%
용 21
 
1.5%
매 20
 
1.5%
Other values (163) 608
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1071
78.2%
Space Separator 292
 
21.3%
Other Punctuation 6
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 102
 
9.5%
제 73
 
6.8%
기 68
 
6.3%
조 59
 
5.5%
타 51
 
4.8%
및 39
 
3.6%
품 37
 
3.5%
용 21
 
2.0%
매 20
 
1.9%
외 18
 
1.7%
Other values (159) 583
54.4%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
292
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1071
78.2%
Common 299
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 102
 
9.5%
제 73
 
6.8%
기 68
 
6.3%
조 59
 
5.5%
타 51
 
4.8%
및 39
 
3.6%
품 37
 
3.5%
용 21
 
2.0%
매 20
 
1.9%
외 18
 
1.7%
Other values (159) 583
54.4%
Common
ValueCountFrequency (%)
292
97.7%
, 5
 
1.7%
/ 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1071
78.2%
ASCII 299
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
292
97.7%
, 5
 
1.7%
/ 1
 
0.3%
1 1
 
0.3%
Hangul
ValueCountFrequency (%)
업 102
 
9.5%
제 73
 
6.8%
기 68
 
6.3%
조 59
 
5.5%
타 51
 
4.8%
및 39
 
3.6%
품 37
 
3.5%
용 21
 
2.0%
매 20
 
1.9%
외 18
 
1.7%
Other values (159) 583
54.4%

분류코드
Real number (ℝ)

HIGH CORRELATION 

Distinct68
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34477.242
Minimum10219
Maximum91299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-03-14T12:13:14.098835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10219
5-th percentile13013.6
Q120499
median29210
Q346535
95-th percentile68602.8
Maximum91299
Range81080
Interquartile range (IQR)26036

Descriptive statistics

Standard deviation17579.751
Coefficient of variation (CV)0.50989434
Kurtosis0.68365626
Mean34477.242
Median Absolute Deviation (MAD)9981
Skewness0.99135289
Sum3413247
Variance3.0904764 × 108
MonotonicityNot monotonic
2024-03-14T12:13:14.427575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46800 8
 
8.1%
20499 5
 
5.1%
20302 5
 
5.1%
30399 3
 
3.0%
29199 3
 
3.0%
68119 2
 
2.0%
20111 2
 
2.0%
35119 2
 
2.0%
20129 2
 
2.0%
28410 2
 
2.0%
Other values (58) 65
65.7%
ValueCountFrequency (%)
10219 1
1.0%
10501 1
1.0%
10749 1
1.0%
10800 1
1.0%
11129 1
1.0%
13223 1
1.0%
13404 1
1.0%
14411 2
2.0%
14499 1
1.0%
17121 1
1.0%
ValueCountFrequency (%)
91299 1
1.0%
85502 1
1.0%
74300 1
1.0%
72919 1
1.0%
72129 1
1.0%
68211 1
1.0%
68119 2
2.0%
64209 1
1.0%
56112 1
1.0%
56111 2
2.0%

최초등록일
Date

Distinct98
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum1973-12-18 00:00:00
Maximum2015-08-19 00:00:00
2024-03-14T12:13:14.552021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:13:14.674000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표업종
Text

Distinct95
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-03-14T12:13:14.827064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length25
Mean length13.090909
Min length3

Characters and Unicode

Total characters1296
Distinct characters228
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)92.9%

Sample

1st row부동산임대 및 매매업
2nd row그외 기타 분류안된 화학제품 제조업
3rd row스타킹 제조 및 수출업
4th row제1차유리가공품제조
5th row의료분야연구개발및 용역
ValueCountFrequency (%)
및 36
 
12.5%
제조 20
 
6.9%
판매 11
 
3.8%
제조업 9
 
3.1%
등 6
 
2.1%
기타 5
 
1.7%
무역업 5
 
1.7%
자동차 4
 
1.4%
기계 3
 
1.0%
임대업 3
 
1.0%
Other values (173) 187
64.7%
2024-03-14T12:13:15.160647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
 
14.7%
업 70
 
5.4%
제 66
 
5.1%
조 60
 
4.6%
및 48
 
3.7%
품 29
 
2.2%
매 26
 
2.0%
기 25
 
1.9%
용 23
 
1.8%
도 18
 
1.4%
Other values (218) 741
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1040
80.2%
Space Separator 190
 
14.7%
Other Punctuation 31
 
2.4%
Uppercase Letter 24
 
1.9%
Decimal Number 5
 
0.4%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 70
 
6.7%
제 66
 
6.3%
조 60
 
5.8%
및 48
 
4.6%
품 29
 
2.8%
매 26
 
2.5%
기 25
 
2.4%
용 23
 
2.2%
도 18
 
1.7%
역 16
 
1.5%
Other values (196) 659
63.4%
Uppercase Letter
ValueCountFrequency (%)
E 4
16.7%
V 3
12.5%
L 3
12.5%
C 3
12.5%
P 2
8.3%
D 2
8.3%
T 2
8.3%
M 1
 
4.2%
G 1
 
4.2%
N 1
 
4.2%
Other values (2) 2
8.3%
Other Punctuation
ValueCountFrequency (%)
, 18
58.1%
. 11
35.5%
/ 1
 
3.2%
& 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
3 1
 
20.0%
2 1
 
20.0%
Space Separator
ValueCountFrequency (%)
190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1039
80.2%
Common 232
 
17.9%
Latin 24
 
1.9%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 70
 
6.7%
제 66
 
6.4%
조 60
 
5.8%
및 48
 
4.6%
품 29
 
2.8%
매 26
 
2.5%
기 25
 
2.4%
용 23
 
2.2%
도 18
 
1.7%
역 16
 
1.5%
Other values (195) 658
63.3%
Latin
ValueCountFrequency (%)
E 4
16.7%
V 3
12.5%
L 3
12.5%
C 3
12.5%
P 2
8.3%
D 2
8.3%
T 2
8.3%
M 1
 
4.2%
G 1
 
4.2%
N 1
 
4.2%
Other values (2) 2
8.3%
Common
ValueCountFrequency (%)
190
81.9%
, 18
 
7.8%
. 11
 
4.7%
1 3
 
1.3%
) 3
 
1.3%
( 3
 
1.3%
/ 1
 
0.4%
& 1
 
0.4%
3 1
 
0.4%
2 1
 
0.4%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1039
80.2%
ASCII 256
 
19.8%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
74.2%
, 18
 
7.0%
. 11
 
4.3%
E 4
 
1.6%
1 3
 
1.2%
V 3
 
1.2%
L 3
 
1.2%
) 3
 
1.2%
C 3
 
1.2%
( 3
 
1.2%
Other values (12) 15
 
5.9%
Hangul
ValueCountFrequency (%)
업 70
 
6.7%
제 66
 
6.4%
조 60
 
5.8%
및 48
 
4.6%
품 29
 
2.8%
매 26
 
2.5%
기 25
 
2.4%
용 23
 
2.2%
도 18
 
1.7%
역 16
 
1.5%
Other values (195) 658
63.3%
CJK
ValueCountFrequency (%)
外 1
100.0%

대표투자국
Categorical

Distinct22
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size924.0 B
중국
24 
미국
21 
일본
19 
홍콩
4 
싱가포르
4 
Other values (17)
27 

Length

Max length4
Median length2
Mean length2.2929293
Min length2

Unique

Unique10 ?
Unique (%)10.1%

Sample

1st row일본
2nd row중국
3rd row미국
4th row미국
5th row미국

Common Values

ValueCountFrequency (%)
중국 24
24.2%
미국 21
21.2%
일본 19
19.2%
홍콩 4
 
4.0%
싱가포르 4
 
4.0%
프랑스 4
 
4.0%
영국 3
 
3.0%
기타 2
 
2.0%
몽골 2
 
2.0%
캐나다 2
 
2.0%
Other values (12) 14
14.1%

Length

2024-03-14T12:13:15.281401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중국 24
24.2%
미국 21
21.2%
일본 19
19.2%
홍콩 4
 
4.0%
싱가포르 4
 
4.0%
프랑스 4
 
4.0%
영국 3
 
3.0%
캐나다 2
 
2.0%
독일 2
 
2.0%
시리아 2
 
2.0%
Other values (12) 14
14.1%

업체유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
법인기업
83 
개인사업자
16 

Length

Max length5
Median length4
Mean length4.1616162
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인기업 83
83.8%
개인사업자 16
 
16.2%

Length

2024-03-14T12:13:15.378765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:15.450682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인기업 83
83.8%
개인사업자 16
 
16.2%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
투자유치과
99 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
투자유치과 99
100.0%

Length

2024-03-14T12:13:15.529867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:15.599948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
투자유치과 99
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
공개
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 99
100.0%

Length

2024-03-14T12:13:15.677636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:15.749516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 99
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2015.1
99 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 99
100.0%

Length

2024-03-14T12:13:15.822908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:15.889764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 99
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
1년
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 99
100.0%

Length

2024-03-14T12:13:15.967644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:13:16.066548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 99
100.0%

Interactions

2024-03-14T12:13:09.618395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:13:09.201221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:13:09.393724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:13:09.720563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:13:09.259950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:13:09.460164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:13:09.801813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:13:09.315843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:13:09.527483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T12:13:16.127133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명한글회사명영문회사명전화번호우편번호도로명주소표준중분류표준분류명분류코드최초등록일대표업종대표투자국업체유형
순번1.0000.1061.0000.7460.3520.0000.8400.0000.5320.0000.9330.7220.0000.333
시군명0.1061.0001.0000.0000.0000.9581.0000.2200.1880.1730.9850.9940.3270.462
한글회사명1.0001.0001.0001.0000.9981.0001.0001.0001.0000.6910.9990.9970.9981.000
영문회사명0.7460.0001.0001.0000.5330.0000.8260.5330.9650.0000.9950.9890.9540.000
전화번호0.3520.0000.9980.5331.0000.0000.8830.9750.8860.8750.9980.0000.9210.000
우편번호0.0000.9581.0000.0000.0001.0001.0000.6760.6350.6300.9801.0000.7010.363
도로명주소0.8401.0001.0000.8260.8831.0001.0000.9610.9790.9670.9960.9760.0001.000
표준중분류0.0000.2201.0000.5330.9750.6760.9611.0001.0000.9970.9980.9830.7750.800
표준분류명0.5320.1881.0000.9650.8860.6350.9791.0001.0000.9970.9830.9940.8440.964
분류코드0.0000.1730.6910.0000.8750.6300.9670.9970.9971.0000.9870.9110.4770.659
최초등록일0.9330.9850.9990.9950.9980.9800.9960.9980.9830.9871.0000.9970.0000.000
대표업종0.7220.9940.9970.9890.0001.0000.9760.9830.9940.9110.9971.0000.9950.000
대표투자국0.0000.3270.9980.9540.9210.7010.0000.7750.8440.4770.0000.9951.0000.679
업체유형0.3330.4621.0000.0000.0000.3631.0000.8000.9640.6590.0000.0000.6791.000
2024-03-14T12:13:16.254339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명표준중분류대표투자국업체유형
시군명1.0000.0600.1080.339
표준중분류0.0601.0000.2480.586
대표투자국0.1080.2481.0000.486
업체유형0.3390.5860.4861.000
2024-03-14T12:13:16.335618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호분류코드시군명표준중분류대표투자국업체유형
순번1.0000.065-0.1280.0000.0000.0000.258
우편번호0.0651.0000.1230.8470.3160.2200.364
분류코드-0.1280.1231.0000.0450.9100.1840.644
시군명0.0000.8470.0451.0000.0600.1080.339
표준중분류0.0000.3160.9100.0601.0000.2480.586
대표투자국0.0000.2200.1840.1080.2481.0000.486
업체유형0.2580.3640.6440.3390.5860.4861.000

Missing values

2024-03-14T12:13:09.937050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:13:10.123477image/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

순번시군명한글회사명영문회사명전화번호우편번호도로명주소표준중분류표준분류명분류코드최초등록일대표업종대표투자국업체유형자료출처공개여부작성일갱신주기
01전주시(유)우빈WOO-BIN CO.,LTD-55030전주시 덕진구 한배미3길 21부동산/임대기타 부동산 임대업681192009-01-20부동산임대 및 매매업일본법인기업투자유치과공개2015.11년
12전주시(유)한국지티에이치알Korea GTHR Company Limited-54853전주시 덕진구 반룡로 109화공그외 기타 분류안된 화학제품 제조업204992015-05-21그외 기타 분류안된 화학제품 제조업중국법인기업투자유치과공개2015.11년
23익산시(주)남영스타킹-063-834-377854630익산시 약촌로8길 61-5섬유/직물/의류스타킹 및 기타양말 제조업144112008-07-14스타킹 제조 및 수출업미국법인기업투자유치과공개2015.11년
34김제시(주)동성유리코리아DONG SUNG GLASS KOREA CO.,LTD.063-547-720254368김제시 순동산단길 248비금속광물그외 기타 유리제품 제조업231991998-08-13제1차유리가공품제조미국법인기업투자유치과공개2015.11년
45전주시(주)바이오비스코BIO-VISCO INC.063-270-484454896전주시 덕진구 백제대로 567비즈니스서비스업기타 기술 시험, 검사 및 분석업729192009-11-24의료분야연구개발및 용역미국법인기업투자유치과공개2015.11년
56군산시(주)새만금SAEMANGUEM CO., LTD063-272-103554166군산시 칠성6길 79문화/오락그외 기타 분류안된 오락관련 서비스업912992010-07-27새만금방조제 신시도 휴게시설홍콩법인기업투자유치과공개2015.11년
67군산시(주)씨엔케이인더스트리C&K INDUSTRY063-442-775054026군산시 장미1길 27전문직별건설건물 및 구축물 해체 공사업421102010-08-09선박해체및철거업중국법인기업투자유치과공개2015.11년
78김제시(주)아부딥상사ABUDEEP TRADING CO., LTD.063-547-825354324김제시 공덕면 황경2길 46도/소매(유통)자동차중고 부품 및 내장품 판매업452202013-08-06자동차 부품업시리아법인기업투자유치과공개2015.11년
89익산시(주)알로드ALord Co.,Ltd.063-843-045054524익산시 삼기면 산단오룡길 27운송용기계그외 기타 자동차 부품 제조업303992010-11-12트럭 버스 용 WHEEL 제조 판매싱가포르법인기업투자유치과공개2015.11년
910김제시(주)알룩스ALUX CO.,LTD-54368김제시 순동산단1길 73운송용기계그외 기타 자동차 부품 제조업303992015-03-24자동차부품 제조미국법인기업투자유치과공개2015.11년
순번시군명한글회사명영문회사명전화번호우편번호도로명주소표준중분류표준분류명분류코드최초등록일대표업종대표투자국업체유형자료출처공개여부작성일갱신주기
8990김제시한국 구보다 (주)KUBOTA KOREA CO., LTD02-2058-102854325김제시 백산면 자유무역길 41-27도/소매(유통)농업용 기계 및 장비 도매업465312003-12-10자동차 중고부품 및 내장품 도소매업일본법인기업투자유치과공개2015.11년
9091김제시한국동아상사KOREA EAST ASIA TRADING CO., LTD.-54411김제시 옥산길 86식품기타 수산동물 가공 및 저장처리업102192000-08-12농업용 기계 및 도소매중국법인기업투자유치과공개2015.11년
9192군산시한국세큐리트(주)HANKUK SEKURT LIMITED02-3709-907854007군산시 외항6길 77-31비금속광물그외 기타 유리제품 제조업231991997-03-11수산물가공및저장처리업 등독일법인기업투자유치과공개2015.11년
9293완주군한국씨엔씨주식회사KOREA CNC LTD.063-260-205555321완주군 봉동읍 완주산단4로 51화공합성수지 및 기타 플라스틱물질 제조업203021999-03-24제1차유리가공품제조업홍콩법인기업투자유치과공개2015.11년
9394익산시한국야스나가 주식회사YASUNAGA KOREA CO., LTD.02-6676-103854524익산시 삼기면 미륵사지로 727운송용기계자동차 엔진용 부품 제조업303102011-03-21재생섬유소및그유도체제조.무역업일본법인기업투자유치과공개2015.11년
9495군산시한국케미라화학 주식회사Kemira Chemicals Korea Corp063-468-636354004군산시 자유로 233-9화공기타 기초무기화학물질 제조업201291999-09-06자동차 엔진용 부품 제조업핀란드법인기업투자유치과공개2015.11년
9596완주군한남케미칼전주공장(주)HANNAM CHEMICAL CO.,LTD-55346완주군 소양면 상관소양로 1089-35화공합성수지 및 기타 플라스틱물질 제조업203022009-07-07화학제품제조업.종합무역업 등중국법인기업투자유치과공개2015.11년
9697익산시한중합작주업-063-854-605254505익산시 함라면 함낭로 167식품기타 증류주 및 합성주 제조업111292002-05-31재활용수지제조중국법인기업투자유치과공개2015.11년
9798군산시홍암실업--54029군산시 중앙로 70도/소매(유통)기타 상품 중개업461092007-03-23무역, 농장중국개인사업자투자유치과공개2015.11년
9899전주시홍일무역HONGRI TRADING063-471-727354913전주시 덕진구 견훤로 310-1도/소매(유통)상품 종합 도매업468002005-03-21무역업중국개인사업자투자유치과공개2015.11년