Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells27852
Missing cells (%)16.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory149.0 B

Variable types

Numeric5
Categorical3
Text9

Dataset

Description시흥시 내 공장등록현황(단지명, 회사명, 설립구분, 공장대표주소, 전화번호, 종업원수, 생산품, 공장크기, 용지면적, 건축면적, 업종명입니다.)
URLhttps://www.data.go.kr/data/15030201/fileData.do

Alerts

종업원수 is highly overall correlated with 건축면적 and 1 other fieldsHigh correlation
용지면적 is highly overall correlated with 건축면적High correlation
건축면적 is highly overall correlated with 종업원수 and 1 other fieldsHigh correlation
단지명 is highly overall correlated with 설립구분High correlation
설립구분 is highly overall correlated with 단지명High correlation
공장크기 is highly overall correlated with 종업원수High correlation
단지명 is highly imbalanced (51.9%)Imbalance
설립구분 is highly imbalanced (69.8%)Imbalance
공장크기 is highly imbalanced (91.6%)Imbalance
지식산업센터명 has 8002 (80.0%) missing valuesMissing
전화번호 has 4026 (40.3%) missing valuesMissing
팩스번호 has 4693 (46.9%) missing valuesMissing
주원자재 has 4489 (44.9%) missing valuesMissing
공장우편번호 has 6620 (66.2%) missing valuesMissing
용지면적 is highly skewed (γ1 = 23.79777601)Skewed
건축면적 is highly skewed (γ1 = 28.66371563)Skewed
순번 has unique valuesUnique
종업원수 has 1795 (17.9%) zerosZeros
용지면적 has 5645 (56.5%) zerosZeros

Reproduction

Analysis started2023-12-12 21:22:22.604968
Analysis finished2023-12-12 21:22:29.290357
Duration6.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5355.0066
Minimum1
Maximum10717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:22:29.371552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile530.95
Q12672.75
median5353.5
Q38051.25
95-th percentile10179.05
Maximum10717
Range10716
Interquartile range (IQR)5378.5

Descriptive statistics

Standard deviation3099.3608
Coefficient of variation (CV)0.57877815
Kurtosis-1.2045027
Mean5355.0066
Median Absolute Deviation (MAD)2689
Skewness0.00092874589
Sum53550066
Variance9606037.4
MonotonicityNot monotonic
2023-12-13T06:22:29.537242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4303 1
 
< 0.1%
2868 1
 
< 0.1%
8450 1
 
< 0.1%
5562 1
 
< 0.1%
3535 1
 
< 0.1%
3297 1
 
< 0.1%
9518 1
 
< 0.1%
3649 1
 
< 0.1%
6050 1
 
< 0.1%
1105 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
10717 1
< 0.1%
10716 1
< 0.1%
10715 1
< 0.1%
10714 1
< 0.1%
10713 1
< 0.1%
10712 1
< 0.1%
10711 1
< 0.1%
10710 1
< 0.1%
10709 1
< 0.1%
10708 1
< 0.1%

단지명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
시화국가산업단지
8159 
<NA>
833 
시화멀티테크노밸리
 
701
시흥매화일반산업단지
 
307

Length

Max length10
Median length8
Mean length7.7983
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시흥매화일반산업단지
2nd row시화국가산업단지
3rd row시화국가산업단지
4th row시흥매화일반산업단지
5th row시화국가산업단지

Common Values

ValueCountFrequency (%)
시화국가산업단지 8159
81.6%
<NA> 833
 
8.3%
시화멀티테크노밸리 701
 
7.0%
시흥매화일반산업단지 307
 
3.1%

Length

2023-12-13T06:22:29.673732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:22:29.772559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시화국가산업단지 8159
81.6%
na 833
 
8.3%
시화멀티테크노밸리 701
 
7.0%
시흥매화일반산업단지 307
 
3.1%

회사명
Text

Distinct8825
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:22:30.043686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length6.3234
Min length1

Characters and Unicode

Total characters63234
Distinct characters727
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7943 ?
Unique (%)79.4%

Sample

1st row기가엠에스
2nd row(주)그린코스메틱
3rd row두현테크
4th row(주)현대산업
5th row(주)덕진
ValueCountFrequency (%)
주식회사 145
 
1.4%
태양광발전소 32
 
0.3%
tech 31
 
0.3%
eng 13
 
0.1%
시흥지점 10
 
0.1%
제2공장 9
 
0.1%
하나테크 9
 
0.1%
대성정밀 9
 
0.1%
디에스중공업(주 8
 
0.1%
시화공장 8
 
0.1%
Other values (8908) 10156
97.4%
2023-12-13T06:22:30.500036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4629
 
7.3%
( 4478
 
7.1%
) 4478
 
7.1%
이 2458
 
3.9%
스 1846
 
2.9%
크 1553
 
2.5%
테 1471
 
2.3%
에 1351
 
2.1%
지 954
 
1.5%
업 933
 
1.5%
Other values (717) 39083
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51281
81.1%
Open Punctuation 4480
 
7.1%
Close Punctuation 4480
 
7.1%
Uppercase Letter 1986
 
3.1%
Space Separator 467
 
0.7%
Lowercase Letter 206
 
0.3%
Decimal Number 153
 
0.2%
Other Punctuation 151
 
0.2%
Dash Punctuation 17
 
< 0.1%
Control 11
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4629
 
9.0%
이 2458
 
4.8%
스 1846
 
3.6%
크 1553
 
3.0%
테 1471
 
2.9%
에 1351
 
2.6%
지 954
 
1.9%
업 933
 
1.8%
정 910
 
1.8%
기 902
 
1.8%
Other values (648) 34274
66.8%
Uppercase Letter
ValueCountFrequency (%)
E 262
13.2%
N 206
10.4%
G 190
 
9.6%
S 175
 
8.8%
T 163
 
8.2%
C 136
 
6.8%
M 108
 
5.4%
H 95
 
4.8%
K 72
 
3.6%
J 68
 
3.4%
Other values (15) 511
25.7%
Lowercase Letter
ValueCountFrequency (%)
e 45
21.8%
h 26
12.6%
c 25
12.1%
n 17
 
8.3%
t 16
 
7.8%
o 14
 
6.8%
s 9
 
4.4%
i 7
 
3.4%
a 7
 
3.4%
r 7
 
3.4%
Other values (11) 33
16.0%
Decimal Number
ValueCountFrequency (%)
2 51
33.3%
1 39
25.5%
3 21
13.7%
4 15
 
9.8%
0 10
 
6.5%
8 5
 
3.3%
5 5
 
3.3%
9 4
 
2.6%
6 2
 
1.3%
7 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 113
74.8%
& 31
 
20.5%
, 5
 
3.3%
/ 2
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 4478
> 99.9%
[ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4478
> 99.9%
] 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
467
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Control
ValueCountFrequency (%)
11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51281
81.1%
Common 9760
 
15.4%
Latin 2193
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4629
 
9.0%
이 2458
 
4.8%
스 1846
 
3.6%
크 1553
 
3.0%
테 1471
 
2.9%
에 1351
 
2.6%
지 954
 
1.9%
업 933
 
1.8%
정 910
 
1.8%
기 902
 
1.8%
Other values (648) 34274
66.8%
Latin
ValueCountFrequency (%)
E 262
 
11.9%
N 206
 
9.4%
G 190
 
8.7%
S 175
 
8.0%
T 163
 
7.4%
C 136
 
6.2%
M 108
 
4.9%
H 95
 
4.3%
K 72
 
3.3%
J 68
 
3.1%
Other values (37) 718
32.7%
Common
ValueCountFrequency (%)
( 4478
45.9%
) 4478
45.9%
467
 
4.8%
. 113
 
1.2%
2 51
 
0.5%
1 39
 
0.4%
& 31
 
0.3%
3 21
 
0.2%
- 17
 
0.2%
4 15
 
0.2%
Other values (12) 50
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51281
81.1%
ASCII 11952
 
18.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4629
 
9.0%
이 2458
 
4.8%
스 1846
 
3.6%
크 1553
 
3.0%
테 1471
 
2.9%
에 1351
 
2.6%
지 954
 
1.9%
업 933
 
1.8%
정 910
 
1.8%
기 902
 
1.8%
Other values (648) 34274
66.8%
ASCII
ValueCountFrequency (%)
( 4478
37.5%
) 4478
37.5%
467
 
3.9%
E 262
 
2.2%
N 206
 
1.7%
G 190
 
1.6%
S 175
 
1.5%
T 163
 
1.4%
C 136
 
1.1%
. 113
 
0.9%
Other values (58) 1284
 
10.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

지식산업센터명
Text

MISSING 

Distinct70
Distinct (%)3.5%
Missing8002
Missing (%)80.0%
Memory size156.2 KiB
2023-12-13T06:22:30.701043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length10.417918
Min length3

Characters and Unicode

Total characters20815
Distinct characters164
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)1.4%

Sample

1st row리드스마트스퀘어
2nd row코포모(주)
3rd row삼양스마트테크노파크 지식산업센터
4th row삼양스마트테크노파크 지식산업센터
5th row동우디지털파크
ValueCountFrequency (%)
지식산업센터 799
28.1%
동우디지털파크 331
11.6%
보성스퀘어원 223
 
7.8%
타원타크라6차 215
 
7.6%
삼양스마트테크노파크 208
 
7.3%
길산에스에스티 181
 
6.4%
리드스마트스퀘어 157
 
5.5%
코포모테크노센타ⅱ 156
 
5.5%
동양타워 132
 
4.6%
시화하이테크지식산업센터 68
 
2.4%
Other values (70) 372
13.1%
2023-12-13T06:22:31.038451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 1315
 
6.3%
크 1273
 
6.1%
산 1179
 
5.7%
스 1146
 
5.5%
센 1090
 
5.2%
1067
 
5.1%
업 987
 
4.7%
터 984
 
4.7%
식 984
 
4.7%
타 800
 
3.8%
Other values (154) 9990
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19123
91.9%
Space Separator 1067
 
5.1%
Decimal Number 249
 
1.2%
Letter Number 156
 
0.7%
Open Punctuation 71
 
0.3%
Close Punctuation 71
 
0.3%
Uppercase Letter 61
 
0.3%
Dash Punctuation 8
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1315
 
6.9%
크 1273
 
6.7%
산 1179
 
6.2%
스 1146
 
6.0%
센 1090
 
5.7%
업 987
 
5.2%
터 984
 
5.1%
식 984
 
5.1%
타 800
 
4.2%
파 552
 
2.9%
Other values (127) 8813
46.1%
Decimal Number
ValueCountFrequency (%)
6 216
86.7%
1 19
 
7.6%
3 5
 
2.0%
0 3
 
1.2%
2 2
 
0.8%
7 2
 
0.8%
5 1
 
0.4%
4 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
G 25
41.0%
E 25
41.0%
M 4
 
6.6%
Y 2
 
3.3%
H 2
 
3.3%
K 1
 
1.6%
S 1
 
1.6%
V 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
t 1
20.0%
o 1
20.0%
w 1
20.0%
r 1
20.0%
Space Separator
ValueCountFrequency (%)
1067
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19121
91.9%
Common 1470
 
7.1%
Latin 222
 
1.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1315
 
6.9%
크 1273
 
6.7%
산 1179
 
6.2%
스 1146
 
6.0%
센 1090
 
5.7%
업 987
 
5.2%
터 984
 
5.1%
식 984
 
5.1%
타 800
 
4.2%
파 552
 
2.9%
Other values (125) 8811
46.1%
Latin
ValueCountFrequency (%)
Ⅱ 156
70.3%
G 25
 
11.3%
E 25
 
11.3%
M 4
 
1.8%
Y 2
 
0.9%
H 2
 
0.9%
K 1
 
0.5%
S 1
 
0.5%
e 1
 
0.5%
V 1
 
0.5%
Other values (4) 4
 
1.8%
Common
ValueCountFrequency (%)
1067
72.6%
6 216
 
14.7%
( 71
 
4.8%
) 71
 
4.8%
1 19
 
1.3%
- 8
 
0.5%
3 5
 
0.3%
. 4
 
0.3%
0 3
 
0.2%
2 2
 
0.1%
Other values (3) 4
 
0.3%
Han
ValueCountFrequency (%)
美 1
50.0%
堂 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19121
91.9%
ASCII 1536
 
7.4%
Number Forms 156
 
0.7%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 1315
 
6.9%
크 1273
 
6.7%
산 1179
 
6.2%
스 1146
 
6.0%
센 1090
 
5.7%
업 987
 
5.2%
터 984
 
5.1%
식 984
 
5.1%
타 800
 
4.2%
파 552
 
2.9%
Other values (125) 8811
46.1%
ASCII
ValueCountFrequency (%)
1067
69.5%
6 216
 
14.1%
( 71
 
4.6%
) 71
 
4.6%
G 25
 
1.6%
E 25
 
1.6%
1 19
 
1.2%
- 8
 
0.5%
3 5
 
0.3%
. 4
 
0.3%
Other values (16) 25
 
1.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 156
100.0%
CJK
ValueCountFrequency (%)
美 1
50.0%
堂 1
50.0%

공장대표주소(도로명)
Text

Distinct7202
Distinct (%)72.1%
Missing18
Missing (%)0.2%
Memory size156.2 KiB
2023-12-13T06:22:31.299467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length76
Mean length38.804949
Min length14

Characters and Unicode

Total characters387351
Distinct characters397
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5570 ?
Unique (%)55.8%

Sample

1st row경기도 시흥시 매화산단3길 1, 730호(매화동) 730호 외 2필지
2nd row경기도 시흥시 정왕천로 23, 3바 506호 (정왕동)
3rd row경기도 시흥시 공단3대로 149, 2바 905-1호 (정왕동)
4th row경기도 시흥시 매화산단로 112-10 (매화동) (주)현대산업 A7-3 A7-3
5th row경기도 시흥시 공단1대로 341, 5층 510호 (정왕동, 코포모 테크노센터ll(공단1대로 91))
ValueCountFrequency (%)
경기도 9982
 
13.0%
시흥시 9981
 
13.0%
정왕동 8425
 
11.0%
시화단지 1134
 
1.5%
3바 905
 
1.2%
공단1대로 727
 
1.0%
2바 599
 
0.8%
정왕천로 578
 
0.8%
3마 522
 
0.7%
197 456
 
0.6%
Other values (5448) 43199
56.5%
2023-12-13T06:22:31.810423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66873
 
17.3%
시 22671
 
5.9%
1 21591
 
5.6%
2 15727
 
4.1%
3 13160
 
3.4%
동 12787
 
3.3%
, 11309
 
2.9%
기 11148
 
2.9%
( 10978
 
2.8%
) 10976
 
2.8%
Other values (387) 190131
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186190
48.1%
Decimal Number 93911
24.2%
Space Separator 66873
 
17.3%
Other Punctuation 11334
 
2.9%
Open Punctuation 11278
 
2.9%
Close Punctuation 11276
 
2.9%
Dash Punctuation 3485
 
0.9%
Uppercase Letter 2566
 
0.7%
Lowercase Letter 398
 
0.1%
Letter Number 24
 
< 0.1%
Other values (2) 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 22671
 
12.2%
동 12787
 
6.9%
기 11148
 
6.0%
경 10578
 
5.7%
도 10147
 
5.4%
흥 10094
 
5.4%
정 10082
 
5.4%
왕 10029
 
5.4%
로 9849
 
5.3%
호 6428
 
3.5%
Other values (331) 72377
38.9%
Uppercase Letter
ValueCountFrequency (%)
B 603
23.5%
A 601
23.4%
M 415
16.2%
T 412
16.1%
V 408
15.9%
D 26
 
1.0%
C 22
 
0.9%
E 20
 
0.8%
G 14
 
0.5%
F 11
 
0.4%
Other values (9) 34
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
l 359
90.2%
b 12
 
3.0%
v 5
 
1.3%
m 5
 
1.3%
t 5
 
1.3%
g 3
 
0.8%
a 3
 
0.8%
c 1
 
0.3%
i 1
 
0.3%
y 1
 
0.3%
Other values (3) 3
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 21591
23.0%
2 15727
16.7%
3 13160
14.0%
0 10867
11.6%
4 6310
 
6.7%
5 5833
 
6.2%
6 5609
 
6.0%
7 5303
 
5.6%
8 5068
 
5.4%
9 4443
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 11309
99.8%
/ 13
 
0.1%
. 6
 
0.1%
: 4
 
< 0.1%
& 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 10978
97.3%
[ 300
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 10976
97.3%
] 300
 
2.7%
Space Separator
ValueCountFrequency (%)
66873
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3485
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 198173
51.2%
Hangul 186187
48.1%
Latin 2988
 
0.8%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 22671
 
12.2%
동 12787
 
6.9%
기 11148
 
6.0%
경 10578
 
5.7%
도 10147
 
5.4%
흥 10094
 
5.4%
정 10082
 
5.4%
왕 10029
 
5.4%
로 9849
 
5.3%
호 6428
 
3.5%
Other values (328) 72374
38.9%
Latin
ValueCountFrequency (%)
B 603
20.2%
A 601
20.1%
M 415
13.9%
T 412
13.8%
V 408
13.7%
l 359
12.0%
D 26
 
0.9%
Ⅱ 24
 
0.8%
C 22
 
0.7%
E 20
 
0.7%
Other values (23) 98
 
3.3%
Common
ValueCountFrequency (%)
66873
33.7%
1 21591
 
10.9%
2 15727
 
7.9%
3 13160
 
6.6%
, 11309
 
5.7%
( 10978
 
5.5%
) 10976
 
5.5%
0 10867
 
5.5%
4 6310
 
3.2%
5 5833
 
2.9%
Other values (13) 24549
 
12.4%
Han
ValueCountFrequency (%)
外 1
33.3%
美 1
33.3%
堂 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 201137
51.9%
Hangul 186187
48.1%
Number Forms 24
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66873
33.2%
1 21591
 
10.7%
2 15727
 
7.8%
3 13160
 
6.5%
, 11309
 
5.6%
( 10978
 
5.5%
) 10976
 
5.5%
0 10867
 
5.4%
4 6310
 
3.1%
5 5833
 
2.9%
Other values (45) 27513
13.7%
Hangul
ValueCountFrequency (%)
시 22671
 
12.2%
동 12787
 
6.9%
기 11148
 
6.0%
경 10578
 
5.7%
도 10147
 
5.4%
흥 10094
 
5.4%
정 10082
 
5.4%
왕 10029
 
5.4%
로 9849
 
5.3%
호 6428
 
3.5%
Other values (328) 72374
38.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 24
100.0%
CJK
ValueCountFrequency (%)
外 1
33.3%
美 1
33.3%
堂 1
33.3%

공장대표주소(지번)
Text

Distinct7106
Distinct (%)71.1%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T06:22:32.329335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length76
Mean length31.369837
Min length11

Characters and Unicode

Total characters313667
Distinct characters346
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5496 ?
Unique (%)55.0%

Sample

1st row경기도 시흥시 매화동 846 730호 730호 외 2필지
2nd row경기도 시흥시 정왕동 2194-6번지 3바 506호
3rd row경기도 시흥시 정왕동 2203-7번지 2바 905-1호
4th row경기도 시흥시 매화동 159-0 (주)현대산업 A7-3 A7-3
5th row경기도 시흥시 정왕동 1289-5번지 코포모 테크노센터ll(공단1대로 91) 5층 510호
ValueCountFrequency (%)
경기도 9984
 
15.8%
시흥시 9981
 
15.8%
정왕동 8988
 
14.2%
3바 702
 
1.1%
시화단지 634
 
1.0%
2바 445
 
0.7%
3층 413
 
0.7%
2층 411
 
0.6%
1층 387
 
0.6%
3마 385
 
0.6%
Other values (6408) 31023
49.0%
2023-12-13T06:22:32.836451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54596
17.4%
1 21795
 
6.9%
시 21523
 
6.9%
2 17847
 
5.7%
동 12058
 
3.8%
- 10803
 
3.4%
기 10134
 
3.2%
도 10083
 
3.2%
흥 10045
 
3.2%
경 10036
 
3.2%
Other values (336) 134747
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145561
46.4%
Decimal Number 94576
30.2%
Space Separator 54596
 
17.4%
Dash Punctuation 10803
 
3.4%
Uppercase Letter 2423
 
0.8%
Open Punctuation 1844
 
0.6%
Close Punctuation 1842
 
0.6%
Other Punctuation 1630
 
0.5%
Lowercase Letter 355
 
0.1%
Letter Number 27
 
< 0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 21523
14.8%
동 12058
 
8.3%
기 10134
 
7.0%
도 10083
 
6.9%
흥 10045
 
6.9%
경 10036
 
6.9%
지 9583
 
6.6%
정 9377
 
6.4%
왕 9340
 
6.4%
번 8245
 
5.7%
Other values (281) 35137
24.1%
Uppercase Letter
ValueCountFrequency (%)
B 545
22.5%
A 534
22.0%
M 414
17.1%
T 410
16.9%
V 408
16.8%
D 23
 
0.9%
C 20
 
0.8%
E 18
 
0.7%
G 12
 
0.5%
F 11
 
0.5%
Other values (8) 28
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
l 317
89.3%
b 12
 
3.4%
t 5
 
1.4%
v 5
 
1.4%
m 5
 
1.4%
g 3
 
0.8%
a 2
 
0.6%
i 1
 
0.3%
c 1
 
0.3%
y 1
 
0.3%
Other values (3) 3
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 21795
23.0%
2 17847
18.9%
0 9892
10.5%
3 9888
10.5%
5 6518
 
6.9%
6 6279
 
6.6%
7 6166
 
6.5%
4 6059
 
6.4%
8 5956
 
6.3%
9 4176
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1609
98.7%
/ 12
 
0.7%
. 5
 
0.3%
: 3
 
0.2%
& 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1659
90.0%
[ 185
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 1657
90.0%
] 185
 
10.0%
Space Separator
ValueCountFrequency (%)
54596
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10803
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 165301
52.7%
Hangul 145558
46.4%
Latin 2805
 
0.9%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 21523
14.8%
동 12058
 
8.3%
기 10134
 
7.0%
도 10083
 
6.9%
흥 10045
 
6.9%
경 10036
 
6.9%
지 9583
 
6.6%
정 9377
 
6.4%
왕 9340
 
6.4%
번 8245
 
5.7%
Other values (278) 35134
24.1%
Latin
ValueCountFrequency (%)
B 545
19.4%
A 534
19.0%
M 414
14.8%
T 410
14.6%
V 408
14.5%
l 317
11.3%
Ⅱ 27
 
1.0%
D 23
 
0.8%
C 20
 
0.7%
E 18
 
0.6%
Other values (22) 89
 
3.2%
Common
ValueCountFrequency (%)
54596
33.0%
1 21795
 
13.2%
2 17847
 
10.8%
- 10803
 
6.5%
0 9892
 
6.0%
3 9888
 
6.0%
5 6518
 
3.9%
6 6279
 
3.8%
7 6166
 
3.7%
4 6059
 
3.7%
Other values (13) 15458
 
9.4%
Han
ValueCountFrequency (%)
外 1
33.3%
美 1
33.3%
堂 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168079
53.6%
Hangul 145558
46.4%
Number Forms 27
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54596
32.5%
1 21795
 
13.0%
2 17847
 
10.6%
- 10803
 
6.4%
0 9892
 
5.9%
3 9888
 
5.9%
5 6518
 
3.9%
6 6279
 
3.7%
7 6166
 
3.7%
4 6059
 
3.6%
Other values (44) 18236
 
10.8%
Hangul
ValueCountFrequency (%)
시 21523
14.8%
동 12058
 
8.3%
기 10134
 
7.0%
도 10083
 
6.9%
흥 10045
 
6.9%
경 10036
 
6.9%
지 9583
 
6.6%
정 9377
 
6.4%
왕 9340
 
6.4%
번 8245
 
5.7%
Other values (278) 35134
24.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 27
100.0%
CJK
ValueCountFrequency (%)
外 1
33.3%
美 1
33.3%
堂 1
33.3%

업종명
Text

Distinct994
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:22:33.175403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length15.8325
Min length3

Characters and Unicode

Total characters158325
Distinct characters341
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique434 ?
Unique (%)4.3%

Sample

1st row전시용 모형 제조업
2nd row화장품 제조업
3rd row그 외 자동차용 신품 부품 제조업
4th row자동차용 신품 전기장치 제조업 외 1 종
5th row기타 기초 무기 화학물질 제조업
ValueCountFrequency (%)
제조업 7427
 
14.9%
외 4488
 
9.0%
및 4421
 
8.9%
기타 2796
 
5.6%
종 2502
 
5.0%
그 1985
 
4.0%
1 1598
 
3.2%
절삭가공 1188
 
2.4%
유사처리업 1188
 
2.4%
금속 814
 
1.6%
Other values (688) 21334
42.9%
2023-12-13T06:22:33.671419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39747
25.1%
업 10343
 
6.5%
제 9503
 
6.0%
조 8434
 
5.3%
기 6812
 
4.3%
외 4506
 
2.8%
및 4421
 
2.8%
타 2801
 
1.8%
용 2709
 
1.7%
종 2541
 
1.6%
Other values (331) 66508
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114795
72.5%
Space Separator 39747
 
25.1%
Decimal Number 2882
 
1.8%
Other Punctuation 883
 
0.6%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 10343
 
9.0%
제 9503
 
8.3%
조 8434
 
7.3%
기 6812
 
5.9%
외 4506
 
3.9%
및 4421
 
3.9%
타 2801
 
2.4%
용 2709
 
2.4%
종 2541
 
2.2%
공 2528
 
2.2%
Other values (316) 60197
52.4%
Decimal Number
ValueCountFrequency (%)
1 1977
68.6%
2 438
 
15.2%
3 234
 
8.1%
4 104
 
3.6%
5 43
 
1.5%
6 36
 
1.2%
7 23
 
0.8%
9 13
 
0.5%
8 10
 
0.3%
0 4
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 853
96.6%
. 30
 
3.4%
Space Separator
ValueCountFrequency (%)
39747
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114795
72.5%
Common 43530
 
27.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 10343
 
9.0%
제 9503
 
8.3%
조 8434
 
7.3%
기 6812
 
5.9%
외 4506
 
3.9%
및 4421
 
3.9%
타 2801
 
2.4%
용 2709
 
2.4%
종 2541
 
2.2%
공 2528
 
2.2%
Other values (316) 60197
52.4%
Common
ValueCountFrequency (%)
39747
91.3%
1 1977
 
4.5%
, 853
 
2.0%
2 438
 
1.0%
3 234
 
0.5%
4 104
 
0.2%
5 43
 
0.1%
6 36
 
0.1%
. 30
 
0.1%
7 23
 
0.1%
Other values (5) 45
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114757
72.5%
ASCII 43530
 
27.5%
Compat Jamo 38
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39747
91.3%
1 1977
 
4.5%
, 853
 
2.0%
2 438
 
1.0%
3 234
 
0.5%
4 104
 
0.2%
5 43
 
0.1%
6 36
 
0.1%
. 30
 
0.1%
7 23
 
0.1%
Other values (5) 45
 
0.1%
Hangul
ValueCountFrequency (%)
업 10343
 
9.0%
제 9503
 
8.3%
조 8434
 
7.3%
기 6812
 
5.9%
외 4506
 
3.9%
및 4421
 
3.9%
타 2801
 
2.4%
용 2709
 
2.4%
종 2541
 
2.2%
공 2528
 
2.2%
Other values (315) 60159
52.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 38
100.0%

설립구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국가산업단지
8792 
일반
 
757
일반산업단지
 
307
창업
 
76
지식산업센터
 
68

Length

Max length6
Median length6
Mean length5.6668
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반산업단지
2nd row국가산업단지
3rd row국가산업단지
4th row일반산업단지
5th row국가산업단지

Common Values

ValueCountFrequency (%)
국가산업단지 8792
87.9%
일반 757
 
7.6%
일반산업단지 307
 
3.1%
창업 76
 
0.8%
지식산업센터 68
 
0.7%

Length

2023-12-13T06:22:33.826009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:22:33.936161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가산업단지 8792
87.9%
일반 757
 
7.6%
일반산업단지 307
 
3.1%
창업 76
 
0.8%
지식산업센터 68
 
0.7%

전화번호
Text

MISSING 

Distinct5297
Distinct (%)88.7%
Missing4026
Missing (%)40.3%
Memory size156.2 KiB
2023-12-13T06:22:34.141029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.041848
Min length1

Characters and Unicode

Total characters71938
Distinct characters14
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

Unique4724 ?
Unique (%)79.1%

Sample

1st row031-8042-4880
2nd row031-404-7941
3rd row031-499-7409
4th row031-312-6791
5th row031-433-6788
ValueCountFrequency (%)
031-432-3550 9
 
0.2%
02-3452-0100 7
 
0.1%
031-434-4946 6
 
0.1%
031-498-6961 4
 
0.1%
031-432-0783 4
 
0.1%
031-499-8038 4
 
0.1%
031-433-5590 4
 
0.1%
031-497-8005 4
 
0.1%
031-431-1581 4
 
0.1%
031-498-4335 4
 
0.1%
Other values (5287) 5924
99.2%
2023-12-13T06:22:34.549814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 11922
16.6%
3 11465
15.9%
1 10069
14.0%
0 10055
14.0%
4 7199
10.0%
9 4747
 
6.6%
8 3733
 
5.2%
2 3564
 
5.0%
7 3288
 
4.6%
5 3032
 
4.2%
Other values (4) 2864
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59986
83.4%
Dash Punctuation 11922
 
16.6%
Uppercase Letter 30
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 11465
19.1%
1 10069
16.8%
0 10055
16.8%
4 7199
12.0%
9 4747
7.9%
8 3733
 
6.2%
2 3564
 
5.9%
7 3288
 
5.5%
5 3032
 
5.1%
6 2834
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 10
33.3%
R 10
33.3%
S 10
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 11922
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71908
> 99.9%
Latin 30
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 11922
16.6%
3 11465
15.9%
1 10069
14.0%
0 10055
14.0%
4 7199
10.0%
9 4747
 
6.6%
8 3733
 
5.2%
2 3564
 
5.0%
7 3288
 
4.6%
5 3032
 
4.2%
Latin
ValueCountFrequency (%)
A 10
33.3%
R 10
33.3%
S 10
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71938
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 11922
16.6%
3 11465
15.9%
1 10069
14.0%
0 10055
14.0%
4 7199
10.0%
9 4747
 
6.6%
8 3733
 
5.2%
2 3564
 
5.0%
7 3288
 
4.6%
5 3032
 
4.2%
Other values (4) 2864
 
4.0%

팩스번호
Text

MISSING 

Distinct4588
Distinct (%)86.5%
Missing4693
Missing (%)46.9%
Memory size156.2 KiB
2023-12-13T06:22:34.749349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.689278
Min length1

Characters and Unicode

Total characters62035
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

Unique4124 ?
Unique (%)77.7%

Sample

1st row031-8042-4882
2nd row031-404-7941
3rd row031-499-7405
4th row031-312-6794
5th row031-197-7202
ValueCountFrequency (%)
31 146
 
2.8%
2 38
 
0.7%
031-432-3552 9
 
0.2%
031-433-9341 5
 
0.1%
031-431-1531 4
 
0.1%
031-496-0834 4
 
0.1%
031-430-4291 4
 
0.1%
031-433-5463 4
 
0.1%
031-434-6514 4
 
0.1%
031-319-3497 4
 
0.1%
Other values (4578) 5085
95.8%
2023-12-13T06:22:35.094358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 10260
16.5%
- 10216
16.5%
1 8447
13.6%
0 8124
13.1%
4 6303
10.2%
9 4542
7.3%
8 3167
 
5.1%
2 3061
 
4.9%
5 2773
 
4.5%
7 2636
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 51819
83.5%
Dash Punctuation 10216
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 10260
19.8%
1 8447
16.3%
0 8124
15.7%
4 6303
12.2%
9 4542
8.8%
8 3167
 
6.1%
2 3061
 
5.9%
5 2773
 
5.4%
7 2636
 
5.1%
6 2506
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 10216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 62035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 10260
16.5%
- 10216
16.5%
1 8447
13.6%
0 8124
13.1%
4 6303
10.2%
9 4542
7.3%
8 3167
 
5.1%
2 3061
 
4.9%
5 2773
 
4.5%
7 2636
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 10260
16.5%
- 10216
16.5%
1 8447
13.6%
0 8124
13.1%
4 6303
10.2%
9 4542
7.3%
8 3167
 
5.1%
2 3061
 
4.9%
5 2773
 
4.5%
7 2636
 
4.2%

종업원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct144
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9249
Minimum0
Maximum1004
Zeros1795
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:22:35.281677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile30
Maximum1004
Range1004
Interquartile range (IQR)6

Descriptive statistics

Standard deviation25.041281
Coefficient of variation (CV)3.159823
Kurtosis512.68775
Mean7.9249
Median Absolute Deviation (MAD)2
Skewness17.802552
Sum79249
Variance627.06577
MonotonicityNot monotonic
2023-12-13T06:22:35.438327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1795
17.9%
1 1772
17.7%
2 1188
11.9%
3 960
9.6%
4 718
 
7.2%
5 565
 
5.7%
6 397
 
4.0%
7 298
 
3.0%
8 242
 
2.4%
9 201
 
2.0%
Other values (134) 1864
18.6%
ValueCountFrequency (%)
0 1795
17.9%
1 1772
17.7%
2 1188
11.9%
3 960
9.6%
4 718
 
7.2%
5 565
 
5.7%
6 397
 
4.0%
7 298
 
3.0%
8 242
 
2.4%
9 201
 
2.0%
ValueCountFrequency (%)
1004 1
< 0.1%
857 1
< 0.1%
720 1
< 0.1%
500 1
< 0.1%
488 1
< 0.1%
397 1
< 0.1%
390 1
< 0.1%
360 1
< 0.1%
328 1
< 0.1%
315 1
< 0.1%

생산품
Text

Distinct6105
Distinct (%)61.1%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T06:22:35.847352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length53
Mean length7.4405322
Min length1

Characters and Unicode

Total characters74383
Distinct characters747
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5322 ?
Unique (%)53.2%

Sample

1st row전자제품 샘플가공
2nd row립스틱
3rd row기계제작 임가공
4th row자동차부품(점화플러그)
5th row화장품원료
ValueCountFrequency (%)
및 490
 
2.9%
기계부품 465
 
2.7%
등 402
 
2.4%
금형 371
 
2.2%
부품 326
 
1.9%
자동차부품 286
 
1.7%
외 279
 
1.6%
배전반 237
 
1.4%
제조업 189
 
1.1%
자동차 143
 
0.8%
Other values (5764) 13773
81.2%
2023-12-13T06:22:36.370023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7249
 
9.7%
기 4096
 
5.5%
품 2919
 
3.9%
부 2452
 
3.3%
, 2289
 
3.1%
자 1702
 
2.3%
계 1616
 
2.2%
동 1496
 
2.0%
공 1386
 
1.9%
제 1349
 
1.8%
Other values (737) 47829
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61804
83.1%
Space Separator 7249
 
9.7%
Other Punctuation 2347
 
3.2%
Uppercase Letter 1532
 
2.1%
Lowercase Letter 796
 
1.1%
Open Punctuation 278
 
0.4%
Close Punctuation 277
 
0.4%
Decimal Number 82
 
0.1%
Dash Punctuation 11
 
< 0.1%
Control 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4096
 
6.6%
품 2919
 
4.7%
부 2452
 
4.0%
자 1702
 
2.8%
계 1616
 
2.6%
동 1496
 
2.4%
공 1386
 
2.2%
제 1349
 
2.2%
전 1340
 
2.2%
금 1245
 
2.0%
Other values (666) 42203
68.3%
Uppercase Letter
ValueCountFrequency (%)
C 214
14.0%
D 144
 
9.4%
E 142
 
9.3%
P 138
 
9.0%
L 137
 
8.9%
B 81
 
5.3%
A 79
 
5.2%
T 77
 
5.0%
R 62
 
4.0%
S 58
 
3.8%
Other values (14) 400
26.1%
Lowercase Letter
ValueCountFrequency (%)
e 89
11.2%
l 70
 
8.8%
r 62
 
7.8%
t 60
 
7.5%
a 57
 
7.2%
c 54
 
6.8%
o 54
 
6.8%
s 48
 
6.0%
n 46
 
5.8%
p 45
 
5.7%
Other values (14) 211
26.5%
Other Punctuation
ValueCountFrequency (%)
, 2289
97.5%
/ 27
 
1.2%
. 25
 
1.1%
& 2
 
0.1%
' 2
 
0.1%
% 1
 
< 0.1%
· 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 30
36.6%
2 24
29.3%
3 11
 
13.4%
0 7
 
8.5%
5 7
 
8.5%
4 2
 
2.4%
6 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 276
99.3%
[ 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 275
99.3%
] 2
 
0.7%
Control
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
7249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61804
83.1%
Common 10251
 
13.8%
Latin 2328
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4096
 
6.6%
품 2919
 
4.7%
부 2452
 
4.0%
자 1702
 
2.8%
계 1616
 
2.6%
동 1496
 
2.4%
공 1386
 
2.2%
제 1349
 
2.2%
전 1340
 
2.2%
금 1245
 
2.0%
Other values (666) 42203
68.3%
Latin
ValueCountFrequency (%)
C 214
 
9.2%
D 144
 
6.2%
E 142
 
6.1%
P 138
 
5.9%
L 137
 
5.9%
e 89
 
3.8%
B 81
 
3.5%
A 79
 
3.4%
T 77
 
3.3%
l 70
 
3.0%
Other values (38) 1157
49.7%
Common
ValueCountFrequency (%)
7249
70.7%
, 2289
 
22.3%
( 276
 
2.7%
) 275
 
2.7%
1 30
 
0.3%
/ 27
 
0.3%
. 25
 
0.2%
2 24
 
0.2%
- 11
 
0.1%
3 11
 
0.1%
Other values (13) 34
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61802
83.1%
ASCII 12578
 
16.9%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7249
57.6%
, 2289
 
18.2%
( 276
 
2.2%
) 275
 
2.2%
C 214
 
1.7%
D 144
 
1.1%
E 142
 
1.1%
P 138
 
1.1%
L 137
 
1.1%
e 89
 
0.7%
Other values (60) 1625
 
12.9%
Hangul
ValueCountFrequency (%)
기 4096
 
6.6%
품 2919
 
4.7%
부 2452
 
4.0%
자 1702
 
2.8%
계 1616
 
2.6%
동 1496
 
2.4%
공 1386
 
2.2%
제 1349
 
2.2%
전 1340
 
2.2%
금 1245
 
2.0%
Other values (664) 42201
68.3%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
50.0%
ㆍ 1
50.0%

주원자재
Text

MISSING 

Distinct2431
Distinct (%)44.1%
Missing4489
Missing (%)44.9%
Memory size156.2 KiB
2023-12-13T06:22:37.056926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length49
Mean length6.0036291
Min length1

Characters and Unicode

Total characters33086
Distinct characters570
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2132 ?
Unique (%)38.7%

Sample

1st row합성수지, 알루미늄
2nd row시어버터, 세레신, 멀티왁스, 올리브오일 등
3rd row실리콘, EPDM 외
4th row플러그부품
5th row스틸
ValueCountFrequency (%)
철 1039
 
11.2%
금속 554
 
6.0%
등 501
 
5.4%
알루미늄 429
 
4.6%
철판 388
 
4.2%
스틸 302
 
3.2%
플라스틱 130
 
1.4%
sus 118
 
1.3%
111
 
1.2%
환봉 108
 
1.2%
Other values (2119) 5628
60.5%
2023-12-13T06:22:37.657668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3942
 
11.9%
, 2733
 
8.3%
철 1946
 
5.9%
스 1339
 
4.0%
금 733
 
2.2%
판 688
 
2.1%
S 676
 
2.0%
속 649
 
2.0%
등 560
 
1.7%
미 546
 
1.7%
Other values (560) 19274
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21115
63.8%
Space Separator 3942
 
11.9%
Uppercase Letter 3070
 
9.3%
Other Punctuation 2889
 
8.7%
Lowercase Letter 1138
 
3.4%
Decimal Number 684
 
2.1%
Close Punctuation 106
 
0.3%
Open Punctuation 106
 
0.3%
Dash Punctuation 29
 
0.1%
Control 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
철 1946
 
9.2%
스 1339
 
6.3%
금 733
 
3.5%
판 688
 
3.3%
속 649
 
3.1%
등 560
 
2.7%
미 546
 
2.6%
늄 544
 
2.6%
알 534
 
2.5%
루 481
 
2.3%
Other values (487) 13095
62.0%
Uppercase Letter
ValueCountFrequency (%)
S 676
22.0%
P 399
13.0%
C 370
12.1%
L 214
 
7.0%
E 196
 
6.4%
A 190
 
6.2%
U 169
 
5.5%
B 135
 
4.4%
D 128
 
4.2%
T 96
 
3.1%
Other values (16) 497
16.2%
Lowercase Letter
ValueCountFrequency (%)
s 179
15.7%
e 147
12.9%
p 95
 
8.3%
l 82
 
7.2%
t 73
 
6.4%
c 68
 
6.0%
a 63
 
5.5%
u 60
 
5.3%
r 58
 
5.1%
i 55
 
4.8%
Other values (15) 258
22.7%
Decimal Number
ValueCountFrequency (%)
4 203
29.7%
0 128
18.7%
5 110
16.1%
1 96
14.0%
3 72
 
10.5%
6 38
 
5.6%
2 22
 
3.2%
7 8
 
1.2%
8 6
 
0.9%
9 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 2733
94.6%
. 125
 
4.3%
/ 26
 
0.9%
% 3
 
0.1%
？ 1
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3942
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Control
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21115
63.8%
Common 7763
 
23.5%
Latin 4208
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
철 1946
 
9.2%
스 1339
 
6.3%
금 733
 
3.5%
판 688
 
3.3%
속 649
 
3.1%
등 560
 
2.7%
미 546
 
2.6%
늄 544
 
2.6%
알 534
 
2.5%
루 481
 
2.3%
Other values (487) 13095
62.0%
Latin
ValueCountFrequency (%)
S 676
16.1%
P 399
 
9.5%
C 370
 
8.8%
L 214
 
5.1%
E 196
 
4.7%
A 190
 
4.5%
s 179
 
4.3%
U 169
 
4.0%
e 147
 
3.5%
B 135
 
3.2%
Other values (41) 1533
36.4%
Common
ValueCountFrequency (%)
3942
50.8%
, 2733
35.2%
4 203
 
2.6%
0 128
 
1.6%
. 125
 
1.6%
5 110
 
1.4%
) 106
 
1.4%
( 106
 
1.4%
1 96
 
1.2%
3 72
 
0.9%
Other values (12) 142
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21113
63.8%
ASCII 11970
36.2%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3942
32.9%
, 2733
22.8%
S 676
 
5.6%
P 399
 
3.3%
C 370
 
3.1%
L 214
 
1.8%
4 203
 
1.7%
E 196
 
1.6%
A 190
 
1.6%
s 179
 
1.5%
Other values (62) 2868
24.0%
Hangul
ValueCountFrequency (%)
철 1946
 
9.2%
스 1339
 
6.3%
금 733
 
3.5%
판 688
 
3.3%
속 649
 
3.1%
등 560
 
2.7%
미 546
 
2.6%
늄 544
 
2.6%
알 534
 
2.5%
루 481
 
2.3%
Other values (485) 13093
62.0%
None
ValueCountFrequency (%)
？ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
50.0%
ㅇ 1
50.0%

공장크기
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
소기업
9768 
중기업
 
216
대기업
 
13
중견기업
 
3

Length

Max length4
Median length3
Mean length3.0003
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소기업 9768
97.7%
중기업 216
 
2.2%
대기업 13
 
0.1%
중견기업 3
 
< 0.1%

Length

2023-12-13T06:22:37.804364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:22:37.921779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소기업 9768
97.7%
중기업 216
 
2.2%
대기업 13
 
0.1%
중견기업 3
 
< 0.1%

용지면적
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct2383
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean948.07201
Minimum0
Maximum223042.5
Zeros5645
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:22:38.051667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3561.9825
95-th percentile3802.235
Maximum223042.5
Range223042.5
Interquartile range (IQR)561.9825

Descriptive statistics

Standard deviation3954.6231
Coefficient of variation (CV)4.1712265
Kurtosis1076.4899
Mean948.07201
Median Absolute Deviation (MAD)0
Skewness23.797776
Sum9480720.1
Variance15639044
MonotonicityNot monotonic
2023-12-13T06:22:38.187669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5645
56.5%
59.54 96
 
1.0%
42.2 70
 
0.7%
69.28 65
 
0.7%
29.0 34
 
0.3%
34.54 33
 
0.3%
330.0 33
 
0.3%
80.82 32
 
0.3%
37.771 29
 
0.3%
73.96 27
 
0.3%
Other values (2373) 3936
39.4%
ValueCountFrequency (%)
0.0 5645
56.5%
0.2 1
 
< 0.1%
13.599 1
 
< 0.1%
14.56 1
 
< 0.1%
15.0 1
 
< 0.1%
15.43 1
 
< 0.1%
18.918 3
 
< 0.1%
20.04 4
 
< 0.1%
25.56 1
 
< 0.1%
25.98 9
 
0.1%
ValueCountFrequency (%)
223042.5 1
< 0.1%
85942.8 1
< 0.1%
79745.8 1
< 0.1%
75358.3 1
< 0.1%
60663.8 1
< 0.1%
52669.0 1
< 0.1%
51744.0 1
< 0.1%
49840.9 1
< 0.1%
49620.8 1
< 0.1%
48187.7 1
< 0.1%

건축면적
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct5061
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean901.46928
Minimum0
Maximum225703.42
Zeros100
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:22:38.318407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q1131
median252.88
Q3611
95-th percentile2984.965
Maximum225703.42
Range225703.42
Interquartile range (IQR)480

Descriptive statistics

Standard deviation4519.3414
Coefficient of variation (CV)5.013306
Kurtosis1107.5736
Mean901.46928
Median Absolute Deviation (MAD)167.32
Skewness28.663716
Sum9014692.8
Variance20424447
MonotonicityNot monotonic
2023-12-13T06:22:38.487924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165.0 175
 
1.8%
33.0 173
 
1.7%
330.0 159
 
1.6%
66.0 150
 
1.5%
99.0 135
 
1.4%
100.0 108
 
1.1%
0.0 100
 
1.0%
132.0 84
 
0.8%
60.0 80
 
0.8%
198.0 74
 
0.7%
Other values (5051) 8762
87.6%
ValueCountFrequency (%)
0.0 100
1.0%
0.5 1
 
< 0.1%
1.0 2
 
< 0.1%
3.3 1
 
< 0.1%
4.0 1
 
< 0.1%
5.0 1
 
< 0.1%
8.529 1
 
< 0.1%
9.0 2
 
< 0.1%
9.3 1
 
< 0.1%
9.9 1
 
< 0.1%
ValueCountFrequency (%)
225703.42 1
< 0.1%
171614.75 1
< 0.1%
158657.21 1
< 0.1%
142192.47 1
< 0.1%
87300.557 1
< 0.1%
86805.33 1
< 0.1%
69396.54 1
< 0.1%
58881.98 1
< 0.1%
58335.1 1
< 0.1%
56027.12 1
< 0.1%

공장우편번호
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)3.2%
Missing6620
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean56632.022
Minimum14901
Maximum429450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:22:38.608828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14901
5-th percentile14931
Q115083
median15100
Q315115
95-th percentile429450
Maximum429450
Range414549
Interquartile range (IQR)32

Descriptive statistics

Standard deviation124493.43
Coefficient of variation (CV)2.1982869
Kurtosis5.0912779
Mean56632.022
Median Absolute Deviation (MAD)16
Skewness2.6623792
Sum1.9141624 × 108
Variance1.5498614 × 1010
MonotonicityNot monotonic
2023-12-13T06:22:38.745178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
429450 334
 
3.3%
14931 264
 
2.6%
15084 246
 
2.5%
15106 200
 
2.0%
15115 190
 
1.9%
15116 160
 
1.6%
15086 106
 
1.1%
15078 105
 
1.1%
15102 102
 
1.0%
15117 90
 
0.9%
Other values (98) 1583
 
15.8%
(Missing) 6620
66.2%
ValueCountFrequency (%)
14901 1
 
< 0.1%
14902 1
 
< 0.1%
14904 1
 
< 0.1%
14905 1
 
< 0.1%
14906 1
 
< 0.1%
14908 3
 
< 0.1%
14909 1
 
< 0.1%
14920 1
 
< 0.1%
14921 4
 
< 0.1%
14922 18
0.2%
ValueCountFrequency (%)
429450 334
3.3%
429080 5
 
0.1%
15658 1
 
< 0.1%
15617 1
 
< 0.1%
15120 2
 
< 0.1%
15119 63
 
0.6%
15118 68
 
0.7%
15117 90
 
0.9%
15116 160
1.6%
15115 190
1.9%

Interactions

2023-12-13T06:22:28.033053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:25.837706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:26.353519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:26.845974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:27.317495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:28.144658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:25.953862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:26.443893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:26.952883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:27.437451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:28.249434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:26.054971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:26.553099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:27.041088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:27.528522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:28.345695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:26.168513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:26.668891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:27.127953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:27.843274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:28.498688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:26.253261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:26.753896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:27.213971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:22:27.926072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:22:38.833638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명지식산업센터명설립구분종업원수공장크기용지면적건축면적공장우편번호
순번1.0000.0900.2830.1060.0290.0700.0000.0000.087
단지명0.0901.0001.0000.9430.0500.0610.0260.0050.056
지식산업센터명0.2831.0001.0000.974NaN0.8310.000NaN0.274
설립구분0.1060.9430.9741.0000.0000.0000.0000.0000.106
종업원수0.0290.050NaN0.0001.0000.8690.5140.7260.032
공장크기0.0700.0610.8310.0000.8691.0000.2450.3460.137
용지면적0.0000.0260.0000.0000.5140.2451.0000.7820.000
건축면적0.0000.005NaN0.0000.7260.3460.7821.0000.118
공장우편번호0.0870.0560.2740.1060.0320.1370.0000.1181.000
2023-12-13T06:22:38.959078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공장크기설립구분단지명
공장크기1.0000.0000.058
설립구분0.0001.0000.707
단지명0.0580.7071.000
2023-12-13T06:22:39.047715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수용지면적건축면적공장우편번호단지명설립구분공장크기
순번1.000-0.216-0.081-0.214-0.0590.0530.0440.042
종업원수-0.2161.0000.4170.5680.0000.0320.0000.550
용지면적-0.0810.4171.0000.512-0.0550.0190.0000.202
건축면적-0.2140.5680.5121.0000.1160.0040.0000.244
공장우편번호-0.0590.000-0.0550.1161.0000.0920.1300.091
단지명0.0530.0320.0190.0040.0921.0000.7070.058
설립구분0.0440.0000.0000.0000.1300.7071.0000.000
공장크기0.0420.5500.2020.2440.0910.0580.0001.000

Missing values

2023-12-13T06:22:28.681647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:22:28.923052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T06:22:29.155050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번단지명회사명지식산업센터명공장대표주소(도로명)공장대표주소(지번)업종명설립구분전화번호팩스번호종업원수생산품주원자재공장크기용지면적건축면적공장우편번호
43024303시흥매화일반산업단지기가엠에스리드스마트스퀘어경기도 시흥시 매화산단3길 1, 730호(매화동) 730호 외 2필지경기도 시흥시 매화동 846 730호 730호 외 2필지전시용 모형 제조업일반산업단지031-8042-4880031-8042-488211전자제품 샘플가공합성수지, 알루미늄소기업142.58893.4914931
171172시화국가산업단지(주)그린코스메틱<NA>경기도 시흥시 정왕천로 23, 3바 506호 (정왕동)경기도 시흥시 정왕동 2194-6번지 3바 506호화장품 제조업국가산업단지031-404-7941031-404-79410립스틱시어버터, 세레신, 멀티왁스, 올리브오일 등소기업0.0347.015115
53575358시화국가산업단지두현테크<NA>경기도 시흥시 공단3대로 149, 2바 905-1호 (정왕동)경기도 시흥시 정왕동 2203-7번지 2바 905-1호그 외 자동차용 신품 부품 제조업국가산업단지031-499-7409031-499-74051기계제작 임가공<NA>소기업0.0188.0<NA>
35153516시흥매화일반산업단지(주)현대산업<NA>경기도 시흥시 매화산단로 112-10 (매화동) (주)현대산업 A7-3 A7-3경기도 시흥시 매화동 159-0 (주)현대산업 A7-3 A7-3자동차용 신품 전기장치 제조업 외 1 종일반산업단지031-312-6791031-312-679447자동차부품(점화플러그)실리콘, EPDM 외소기업3251.04464.2614931
514515시화국가산업단지(주)덕진코포모(주)경기도 시흥시 공단1대로 341, 5층 510호 (정왕동, 코포모 테크노센터ll(공단1대로 91))경기도 시흥시 정왕동 1289-5번지 코포모 테크노센터ll(공단1대로 91) 5층 510호기타 기초 무기 화학물질 제조업국가산업단지031-433-6788<NA>3화장품원료<NA>소기업0.0147.6<NA>
17921793시화국가산업단지(주)에스지정보산업<NA>경기도 시흥시 옥구천동로 196, 2다 115-1 (정왕동)경기도 시흥시 정왕동 1256-16번지 2다 115-1절삭가공 및 유사처리업 외 1 종국가산업단지031-497-7200031-197-720225캐비닛렉<NA>소기업3357.32518.575<NA>
80738074시화국가산업단지우진정밀(주)<NA>경기도 시흥시 마유로238번길 75-1, 시화단지 3나 308호 (정왕동)경기도 시흥시 정왕동 1279-8번지 시화단지 3나 308호그 외 자동차용 신품 부품 제조업 외 3 종국가산업단지031-431-4100<NA>11자동차부품<NA>소기업0.01293.0<NA>
26602661시화국가산업단지(주)제이케이플러그<NA>경기도 시흥시 마유로118번길 50, 3라723 (정왕동)경기도 시흥시 마유로118번길 50, 3라723 (정왕동)전기회로 개폐, 보호장치 제조업 외 1 종국가산업단지<NA>031-3019-91731A/C플러그플러그부품소기업0.066.015109
52475248시화국가산업단지동원정밀(주)<NA>경기도 시흥시 마유로92번길 53, 시화단지 3마 207호 (정왕동)경기도 시흥시 정왕동 1374-6번지사무용 기계 및 장비 제조업국가산업단지031-434-4547031-434-455312복사기부품<NA>소기업1648.8640.9<NA>
131132시화멀티테크노밸리(주)광명정밀<NA>경기도 시흥시 엠티브이27로20번길 16, 시화MTV 2사 702호 (정왕동)경기도 시흥시 정왕동 204-702번지 시화MTV 2사 702호기타 가공 공작기계 제조업국가산업단지<NA>031-431-07649지그스틸소기업0.0540.015118
순번단지명회사명지식산업센터명공장대표주소(도로명)공장대표주소(지번)업종명설립구분전화번호팩스번호종업원수생산품주원자재공장크기용지면적건축면적공장우편번호
41834184시화국가산업단지국제벤딩<NA>경기도 시흥시 소망공원로 334, 3라 402-1호 109호(정왕동)경기도 시흥시 정왕동 1286-11 3라 402-1호 109호자동차용 금속 압형제품 제조업국가산업단지031-4312-637<NA>0자동차용 금속 압형제품금속소기업660.79480.2715107
1010710108<NA>하나일렉트로닉스(주)M-플러스테크노경기도 시흥시 서울대학로 59-47 (정왕동) 709호경기도 시흥시 정왕동 2578-0 709호기타 전기 변환장치 제조업일반031-421-1280031-421-12813정류기IC, 콘덴서, TR 외소기업173.56173.5615012
99219922시화국가산업단지토브태양광발전소<NA>경기도 시흥시 마유로 118, 1370 3라817-2 (정왕동)경기도 시흥시 정왕동 1370번지태양력 발전업국가산업단지<NA><NA>1태양력 발전업<NA>소기업0.0461.0<NA>
36243625시화국가산업단지AUTO PRO-UP코포모테크노센타Ⅱ경기도 시흥시 공단1대로 341, 4층 426호 (정왕동)경기도 시흥시 정왕동 1289-5번지금속 절삭기계 제조업지식산업센터031-434-9009031-434-98633디스크연마기<NA>소기업59.54236.68<NA>
49064907시화국가산업단지대지산업(주)<NA>경기도 시흥시 공단2대로 133,시화단지 2마 810-1호 (정왕동)경기도 시흥시 정왕동2169-11번지일반철물 제조업국가산업단지031-319-6800031-319-680218스틸그레이팅철소기업3291.6968.7815097
98749875시화국가산업단지태종기계<NA>경기도 시흥시 마유로20번길 2, 3바 808 (정왕동)경기도 시흥시 정왕동 2180-16번지 3바 808주형 및 금형 제조업 외 1 종국가산업단지<NA><NA>2금형 외철소기업0.0363.015116
91159116<NA>주식회사 한국비엘<NA>경기도 시흥시 은계중앙로306번길 24-1 (대야동)경기도 시흥시 대야동 665-3번지고무패킹류 제조업 외 1 종일반02-2632-220102-2632-220311컨베이어 벨트<NA>소기업0.0699.0<NA>
1044610447시화멀티테크노밸리행복태양광발전소<NA>경기도 시흥시 엠티브이23로 21 (정왕동) 시화MTV 3사 1103호경기도 시흥시 정왕동 2671-2 시화MTV 3사 1103호태양력 발전업국가산업단지<NA><NA>1전기<NA>소기업0.00.015117
59965997시화국가산업단지비엘코리아코포모(주)경기도 시흥시 공단1대로 341, 4층 418호,419호 (정왕동, 코포모 테크노센터ll(공단1대로 91))경기도 시흥시 정왕동 1289-5번지 코포모 테크노센터ll(공단1대로 91) 4층 418호,419호인쇄 및 제책용 기계 제조업국가산업단지031-319-3288031-319-32125인쇄기부품<NA>소기업116.9147.6<NA>
411412시화국가산업단지(주)대양솔루텍<NA>경기도 시흥시 정왕천로 197, 동우지지털파크 A동 213,214,215,216호 (정왕동)경기도 시흥시 정왕동 1288-2 번지 동우지지털파크 A동 213,214,215,216호배전반 및 전기 자동제어반 제조업국가산업단지031-499-8072031-499-80735케이블, 스핀들전선, 베이링 등소기업284.62433.0429450