Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows1541
Duplicate rows (%)15.4%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Text3
Categorical1
Numeric1

Dataset

Description전기전자제품및자동차의재활용시스템 내 수입통관 정보를 제공(상호,주소,수입신고 일자,물품 명,물품수량)
Author환경부
URLhttps://www.data.go.kr/data/15092564/fileData.do

Alerts

Dataset has 1541 (15.4%) duplicate rowsDuplicates
물품수량 is highly skewed (γ1 = 44.27722875)Skewed

Reproduction

Analysis started2023-12-12 15:38:54.437632
Analysis finished2023-12-12 15:38:55.453404
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct739
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:38:55.648249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.7354
Min length2

Characters and Unicode

Total characters87354
Distinct characters410
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)1.9%

Sample

1st row(주)원봉
2nd row(주)다비앙
3rd row한국후지쯔(주)
4th row애플코리아(유)
5th row한국레노버(유)
ValueCountFrequency (%)
애플코리아(유 1311
 
12.0%
삼성전자(주 754
 
6.9%
주식회사 644
 
5.9%
엘지전자(주 621
 
5.7%
에이치피코리아(유 474
 
4.3%
델인터내셔널(주 335
 
3.1%
한국레노버(유 205
 
1.9%
한국엡손(주 204
 
1.9%
한국후지쯔(주 187
 
1.7%
캐논코리아 158
 
1.4%
Other values (736) 6029
55.2%
2023-12-13T00:38:56.131806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 8859
 
10.1%
) 8857
 
10.1%
주 7252
 
8.3%
아 4140
 
4.7%
코 3790
 
4.3%
리 3784
 
4.3%
유 2771
 
3.2%
이 2463
 
2.8%
스 1684
 
1.9%
전 1661
 
1.9%
Other values (400) 42093
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68397
78.3%
Open Punctuation 8859
 
10.1%
Close Punctuation 8857
 
10.1%
Space Separator 924
 
1.1%
Other Punctuation 307
 
0.4%
Uppercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 7252
 
10.6%
아 4140
 
6.1%
코 3790
 
5.5%
리 3784
 
5.5%
유 2771
 
4.1%
이 2463
 
3.6%
스 1684
 
2.5%
전 1661
 
2.4%
자 1623
 
2.4%
한 1374
 
2.0%
Other values (393) 37855
55.3%
Other Punctuation
ValueCountFrequency (%)
, 241
78.5%
. 66
 
21.5%
Uppercase Letter
ValueCountFrequency (%)
K 5
50.0%
S 5
50.0%
Open Punctuation
ValueCountFrequency (%)
( 8859
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8857
100.0%
Space Separator
ValueCountFrequency (%)
924
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68397
78.3%
Common 18947
 
21.7%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 7252
 
10.6%
아 4140
 
6.1%
코 3790
 
5.5%
리 3784
 
5.5%
유 2771
 
4.1%
이 2463
 
3.6%
스 1684
 
2.5%
전 1661
 
2.4%
자 1623
 
2.4%
한 1374
 
2.0%
Other values (393) 37855
55.3%
Common
ValueCountFrequency (%)
( 8859
46.8%
) 8857
46.7%
924
 
4.9%
, 241
 
1.3%
. 66
 
0.3%
Latin
ValueCountFrequency (%)
K 5
50.0%
S 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68397
78.3%
ASCII 18957
 
21.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 8859
46.7%
) 8857
46.7%
924
 
4.9%
, 241
 
1.3%
. 66
 
0.3%
K 5
 
< 0.1%
S 5
 
< 0.1%
Hangul
ValueCountFrequency (%)
주 7252
 
10.6%
아 4140
 
6.1%
코 3790
 
5.5%
리 3784
 
5.5%
유 2771
 
4.1%
이 2463
 
3.6%
스 1684
 
2.5%
전 1661
 
2.4%
자 1623
 
2.4%
한 1374
 
2.0%
Other values (393) 37855
55.3%

주소
Text

Distinct858
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:38:56.471196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length52
Mean length25.8737
Min length10

Characters and Unicode

Total characters258737
Distinct characters437
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)2.6%

Sample

1st row경기 김포시 양촌읍 발산로 171
2nd row서울특별시 용산구 원효로 209 (원효로2가,1층)
3rd row서울특별시 종로구 종로 1 (종로1가)
4th row서울특별시 강남구 영동대로 517 (삼성동)
5th row서울시 강남구 테헤란로 211
ValueCountFrequency (%)
서울특별시 5272
 
10.8%
강남구 2981
 
6.1%
영동대로 1464
 
3.0%
영등포구 1383
 
2.8%
서울 1356
 
2.8%
517 1228
 
2.5%
테헤란로 1171
 
2.4%
경기도 1111
 
2.3%
여의도동 1049
 
2.2%
수원시 788
 
1.6%
Other values (1800) 30912
63.5%
2023-12-13T00:38:57.129615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40107
 
15.5%
로 10843
 
4.2%
1 9987
 
3.9%
구 9307
 
3.6%
동 8722
 
3.4%
시 8659
 
3.3%
서 8439
 
3.3%
( 7415
 
2.9%
) 7268
 
2.8%
울 7176
 
2.8%
Other values (427) 140814
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159695
61.7%
Space Separator 40107
 
15.5%
Decimal Number 38212
 
14.8%
Open Punctuation 7415
 
2.9%
Close Punctuation 7268
 
2.8%
Other Punctuation 4205
 
1.6%
Uppercase Letter 1154
 
0.4%
Dash Punctuation 661
 
0.3%
Other Symbol 11
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 10843
 
6.8%
구 9307
 
5.8%
동 8722
 
5.5%
시 8659
 
5.4%
서 8439
 
5.3%
울 7176
 
4.5%
별 5472
 
3.4%
특 5466
 
3.4%
남 4489
 
2.8%
대 4201
 
2.6%
Other values (377) 86921
54.4%
Uppercase Letter
ValueCountFrequency (%)
S 284
24.6%
P 193
16.7%
A 144
12.5%
K 64
 
5.5%
C 62
 
5.4%
E 52
 
4.5%
N 50
 
4.3%
R 47
 
4.1%
T 38
 
3.3%
B 32
 
2.8%
Other values (15) 188
16.3%
Decimal Number
ValueCountFrequency (%)
1 9987
26.1%
2 5880
15.4%
5 4318
11.3%
3 3218
 
8.4%
7 3093
 
8.1%
8 3017
 
7.9%
0 2588
 
6.8%
4 2333
 
6.1%
9 2059
 
5.4%
6 1719
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
n 1
16.7%
o 1
16.7%
w 1
16.7%
e 1
16.7%
r 1
16.7%
c 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 3992
94.9%
& 193
 
4.6%
. 20
 
0.5%
Space Separator
ValueCountFrequency (%)
40107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7415
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 661
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159706
61.7%
Common 97871
37.8%
Latin 1160
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 10843
 
6.8%
구 9307
 
5.8%
동 8722
 
5.5%
시 8659
 
5.4%
서 8439
 
5.3%
울 7176
 
4.5%
별 5472
 
3.4%
특 5466
 
3.4%
남 4489
 
2.8%
대 4201
 
2.6%
Other values (378) 86932
54.4%
Latin
ValueCountFrequency (%)
S 284
24.5%
P 193
16.6%
A 144
12.4%
K 64
 
5.5%
C 62
 
5.3%
E 52
 
4.5%
N 50
 
4.3%
R 47
 
4.1%
T 38
 
3.3%
B 32
 
2.8%
Other values (21) 194
16.7%
Common
ValueCountFrequency (%)
40107
41.0%
1 9987
 
10.2%
( 7415
 
7.6%
) 7268
 
7.4%
2 5880
 
6.0%
5 4318
 
4.4%
, 3992
 
4.1%
3 3218
 
3.3%
7 3093
 
3.2%
8 3017
 
3.1%
Other values (8) 9576
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159695
61.7%
ASCII 99031
38.3%
None 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40107
40.5%
1 9987
 
10.1%
( 7415
 
7.5%
) 7268
 
7.3%
2 5880
 
5.9%
5 4318
 
4.4%
, 3992
 
4.0%
3 3218
 
3.2%
7 3093
 
3.1%
8 3017
 
3.0%
Other values (39) 10736
 
10.8%
Hangul
ValueCountFrequency (%)
로 10843
 
6.8%
구 9307
 
5.8%
동 8722
 
5.5%
시 8659
 
5.4%
서 8439
 
5.3%
울 7176
 
4.5%
별 5472
 
3.4%
특 5466
 
3.4%
남 4489
 
2.8%
대 4201
 
2.6%
Other values (377) 86921
54.4%
None
ValueCountFrequency (%)
㈜ 11
100.0%

수입신고 일자
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-11-07
1489 
2022-11-02
1243 
2022-11-09
1124 
2022-11-08
1080 
2022-11-01
1072 
Other values (8)
3992 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-07
2nd row2022-11-09
3rd row2022-11-08
4th row2022-11-07
5th row2022-11-02

Common Values

ValueCountFrequency (%)
2022-11-07 1489
14.9%
2022-11-02 1243
12.4%
2022-11-09 1124
11.2%
2022-11-08 1080
10.8%
2022-11-01 1072
10.7%
2022-11-10 962
9.6%
2022-11-04 940
9.4%
2022-11-03 904
9.0%
2022-11-11 874
8.7%
2022-11-05 118
 
1.2%
Other values (3) 194
 
1.9%

Length

2023-12-13T00:38:57.320104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-11-07 1489
14.9%
2022-11-02 1243
12.4%
2022-11-09 1124
11.2%
2022-11-08 1080
10.8%
2022-11-01 1072
10.7%
2022-11-10 962
9.6%
2022-11-04 940
9.4%
2022-11-03 904
9.0%
2022-11-11 874
8.7%
2022-11-05 118
 
1.2%
Other values (3) 194
 
1.9%

물품 명
Text

Distinct754
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:38:57.692245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length25.51
Min length2

Characters and Unicode

Total characters255100
Distinct characters45
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique286 ?
Unique (%)2.9%

Sample

1st rowPURIFYING MACHINERY
2nd rowMULTIPLE LOUDSPEAKERS
3rd rowAUTOMATIC DATA PROCESSING MACHINES
4th rowCOMPUTER
5th rowLCD MONITOR
ValueCountFrequency (%)
processing 2035
 
5.9%
data 1917
 
5.6%
automatic 1705
 
5.0%
machines 1638
 
4.8%
for 1212
 
3.5%
portable 1026
 
3.0%
printer 692
 
2.0%
monitor 661
 
1.9%
parts 651
 
1.9%
other 634
 
1.9%
Other values (726) 22080
64.5%
2023-12-13T00:38:58.329764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24264
 
9.5%
E 23233
 
9.1%
A 22092
 
8.7%
I 19799
 
7.8%
R 19388
 
7.6%
T 19161
 
7.5%
O 15632
 
6.1%
S 15481
 
6.1%
N 14276
 
5.6%
C 12439
 
4.9%
Other values (35) 69335
27.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 227982
89.4%
Space Separator 24264
 
9.5%
Other Punctuation 896
 
0.4%
Dash Punctuation 773
 
0.3%
Open Punctuation 407
 
0.2%
Close Punctuation 407
 
0.2%
Decimal Number 366
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 23233
10.2%
A 22092
 
9.7%
I 19799
 
8.7%
R 19388
 
8.5%
T 19161
 
8.4%
O 15632
 
6.9%
S 15481
 
6.8%
N 14276
 
6.3%
C 12439
 
5.5%
P 9698
 
4.3%
Other values (16) 56783
24.9%
Decimal Number
ValueCountFrequency (%)
4 104
28.4%
6 96
26.2%
1 61
16.7%
0 53
14.5%
2 18
 
4.9%
8 12
 
3.3%
3 11
 
3.0%
5 7
 
1.9%
9 4
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 812
90.6%
/ 55
 
6.1%
; 25
 
2.8%
. 3
 
0.3%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
24264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 773
100.0%
Open Punctuation
ValueCountFrequency (%)
( 407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 407
100.0%
Lowercase Letter
ValueCountFrequency (%)
ℓ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 227982
89.4%
Common 27118
 
10.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 23233
10.2%
A 22092
 
9.7%
I 19799
 
8.7%
R 19388
 
8.5%
T 19161
 
8.4%
O 15632
 
6.9%
S 15481
 
6.8%
N 14276
 
6.3%
C 12439
 
5.5%
P 9698
 
4.3%
Other values (16) 56783
24.9%
Common
ValueCountFrequency (%)
24264
89.5%
, 812
 
3.0%
- 773
 
2.9%
( 407
 
1.5%
) 407
 
1.5%
4 104
 
0.4%
6 96
 
0.4%
1 61
 
0.2%
/ 55
 
0.2%
0 53
 
0.2%
Other values (9) 86
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 255095
> 99.9%
Letterlike Symbols 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24264
 
9.5%
E 23233
 
9.1%
A 22092
 
8.7%
I 19799
 
7.8%
R 19388
 
7.6%
T 19161
 
7.5%
O 15632
 
6.1%
S 15481
 
6.1%
N 14276
 
5.6%
C 12439
 
4.9%
Other values (34) 69330
27.2%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 5
100.0%

물품수량
Real number (ℝ)

SKEWED 

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4065
Minimum1
Maximum1516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:38:58.872433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum1516
Range1515
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.63945
Coefficient of variation (CV)9.4076253
Kurtosis2452.4631
Mean2.4065
Median Absolute Deviation (MAD)0
Skewness44.277229
Sum24065
Variance512.54471
MonotonicityNot monotonic
2023-12-13T00:38:59.079041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 8391
83.9%
2 864
 
8.6%
3 253
 
2.5%
4 134
 
1.3%
5 65
 
0.7%
7 40
 
0.4%
6 39
 
0.4%
8 23
 
0.2%
9 20
 
0.2%
11 11
 
0.1%
Other values (70) 160
 
1.6%
ValueCountFrequency (%)
1 8391
83.9%
2 864
 
8.6%
3 253
 
2.5%
4 134
 
1.3%
5 65
 
0.7%
6 39
 
0.4%
7 40
 
0.4%
8 23
 
0.2%
9 20
 
0.2%
10 9
 
0.1%
ValueCountFrequency (%)
1516 1
< 0.1%
896 1
< 0.1%
698 1
< 0.1%
666 1
< 0.1%
553 1
< 0.1%
332 1
< 0.1%
325 1
< 0.1%
271 1
< 0.1%
243 1
< 0.1%
213 1
< 0.1%

Interactions

2023-12-13T00:38:55.074819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:38:59.212940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수입신고 일자물품수량
수입신고 일자1.0000.000
물품수량0.0001.000
2023-12-13T00:38:59.327387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
물품수량수입신고 일자
물품수량1.0000.000
수입신고 일자0.0001.000

Missing values

2023-12-13T00:38:55.263489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:38:55.392920image/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

상호주소수입신고 일자물품 명물품수량
5416(주)원봉경기 김포시 양촌읍 발산로 1712022-11-07PURIFYING MACHINERY1
1190(주)다비앙서울특별시 용산구 원효로 209 (원효로2가,1층)2022-11-09MULTIPLE LOUDSPEAKERS1
6896한국후지쯔(주)서울특별시 종로구 종로 1 (종로1가)2022-11-08AUTOMATIC DATA PROCESSING MACHINES2
12099애플코리아(유)서울특별시 강남구 영동대로 517 (삼성동)2022-11-07COMPUTER1
4579한국레노버(유)서울시 강남구 테헤란로 2112022-11-02LCD MONITOR1
7847(주)오리온경북 구미시 1공단로 217(공단동)2022-11-07PARTS OF HOUSEHOLD TYPE REFRIGERATORS1
11465코스테크(주)서울 서초구 마방로 38(양재동)2022-11-02INKJET PRINTING MACHINE1
10288엘지전자(주)서울특별시 영등포구 여의대로 128 (여의도동)2022-11-11LCD(LIQUID CRYSTAL DISPLAY) MONITOR1
3390이케아코리아유한회사경기도 광명시 일직로 172022-11-01ARTICLES AND EQUIPMENT OF GENERAL PHYSICAL EXERCIS1
3691애플코리아(유)서울특별시 강남구 영동대로 517 (삼성동)2022-11-03MACBOOK1
상호주소수입신고 일자물품 명물품수량
9396한국후지필름비즈니스이노베이서울 중구 서소문로2022-11-08FAN1
6560주식회사 에티버스이비티서울특별시 중구 소월로 3 (남창동) 17층2022-11-01BARCODE LABEL PRINTER1
5606애플코리아(유)서울특별시 강남구 영동대로 517(삼성동,아셈타워39)2022-11-11PORTABLE AUTOMATIC DATA PROCESSING MACHINES, WEIGH1
4532(주)웨이코스서울 용산구 청파로 46 10층(한통빌딩)2022-11-09FOOD GRINDERS AND MIXERS,FRUITOR VEGETABLE JUICE1
7841애플코리아(유)서울특별시 강남구 영동대로 5172022-11-04AUTOMATIC DATA PROCESSING UNITS1
8505델인터내셔널(주),서울특별시 강남구 테헤란로 152, 18층(역삼동,파이낸스센터)2022-11-01LCD(LIQUID CRYSTAL DISPLAY) MONITOR9
13341국제엘렉트릭코리아(주)충청남도 천안시 서북구 2공단8길 46(차암동)2022-11-08MECHANICAL PARTS1
13277주식회사 빌리브경기도 구리시 아차산로506번길 222022-11-02HAIR DRYER1
2717주식회사 에티버스서울특별시 중구 소월로 3, 16층-22층(남창동)2022-11-09COLOR MONITORS1
6056한국후지쯔(주)서울특별시 종로구 종로 1 (종로1가)2022-11-08AUTOMATIC DATA PROCESSING MACHINES1

Duplicate rows

Most frequently occurring

상호주소수입신고 일자물품 명물품수량# duplicates
1033에이치피코리아(유)서울특별시 영등포구 의사당대로 83 (여의도동)2022-11-07PRINTER PART1153
1019에이치피코리아(유)서울특별시 영등포구 의사당대로 83 (여의도동)2022-11-01PRINTER PART150
1457한국엡손(주)서울 강남구 테헤란로 134,10층(역삼동,포스코P&S타워)2022-11-02OTHER PRINTING MACHINERY USED FOR PRINTING BY MEAN150
1454한국엡손(주)서울 강남구 테헤란로 134,10층(역삼동,포스코P&S타워)2022-11-01OTHER PRINTING MACHINERY USED FOR PRINTING BY MEAN149
309(주)이노피아테크경기 성남 중원 상대원 갈마치로 2152022-11-02WITH A BILATERAL-COMMUNICATION FUNCTION148
846애플코리아(유)서울 강남구 영동대로 5172022-11-03NOTEBOOK COMPUTER147
1308캐논코리아 주식회사서울특별시 강남구 테헤란로 607(삼성동)2022-11-11PART FOR PRINTER146
1085엘지전자(주)서울특별시 영등포구 여의대로 128 (여의도동)2022-11-10PROTABLE DIGITAL AUTOMATIC DATA PROCESSING MACHINE145
64(주)도일트레이딩서울 성동구 연무장5가길 7, 더블유1104호(성수동2가, 성수역현대테라스타워)2022-11-03EQUIPMENT FOR GENERAL PHYSICAL EXERCISE143
1029에이치피코리아(유)서울특별시 영등포구 의사당대로 83 (여의도동)2022-11-04PORTABLE DIGITAL AUTOMATIC DATA PROCESSING MACHINE143