Overview

Dataset statistics

Number of variables7
Number of observations2491
Missing cells568
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory138.8 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description인천광역시 부평구 기업체에 대한 회사명, 공장대표 주소(도로명), 주요 생산품, 공장 크기 등에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://www.data.go.kr/data/15102496/fileData.do

Alerts

관할조직명 is highly imbalanced (54.2%)Imbalance
공장크기 is highly imbalanced (89.4%)Imbalance
전화번호 has 558 (22.4%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:04:48.986262
Analysis finished2023-12-12 00:04:50.174976
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct2491
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1246
Minimum1
Maximum2491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.0 KiB
2023-12-12T09:04:50.235748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile125.5
Q1623.5
median1246
Q31868.5
95-th percentile2366.5
Maximum2491
Range2490
Interquartile range (IQR)1245

Descriptive statistics

Standard deviation719.23408
Coefficient of variation (CV)0.57723442
Kurtosis-1.2
Mean1246
Median Absolute Deviation (MAD)623
Skewness0
Sum3103786
Variance517297.67
MonotonicityStrictly increasing
2023-12-12T09:04:50.359162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1665 1
 
< 0.1%
1658 1
 
< 0.1%
1659 1
 
< 0.1%
1660 1
 
< 0.1%
1661 1
 
< 0.1%
1662 1
 
< 0.1%
1663 1
 
< 0.1%
1664 1
 
< 0.1%
1666 1
 
< 0.1%
Other values (2481) 2481
99.6%
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 (%)
2491 1
< 0.1%
2490 1
< 0.1%
2489 1
< 0.1%
2488 1
< 0.1%
2487 1
< 0.1%
2486 1
< 0.1%
2485 1
< 0.1%
2484 1
< 0.1%
2483 1
< 0.1%
2482 1
< 0.1%

회사명
Text

Distinct2331
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
2023-12-12T09:04:50.632426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length6.809715
Min length2

Characters and Unicode

Total characters16963
Distinct characters606
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2193 ?
Unique (%)88.0%

Sample

1st row 비아이유에스
2nd row(사)대한산업안전협회
3rd row(사)한국척수장애인협회 피복사업소
4th row(유)애드게이트
5th row(유)웰스코리아
ValueCountFrequency (%)
주식회사 96
 
3.5%
2공장 18
 
0.7%
tech 5
 
0.2%
파인컴 5
 
0.2%
코리아 5
 
0.2%
부평지점 5
 
0.2%
시스템 5
 
0.2%
주)정우디스플레이 4
 
0.1%
동서식품(주 4
 
0.1%
에이스뷰 4
 
0.1%
Other values (2376) 2577
94.5%
2023-12-12T09:04:51.043990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1269
 
7.5%
( 1193
 
7.0%
) 1192
 
7.0%
이 758
 
4.5%
스 554
 
3.3%
에 354
 
2.1%
크 265
 
1.6%
아 257
 
1.5%
245
 
1.4%
리 239
 
1.4%
Other values (596) 10637
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13702
80.8%
Open Punctuation 1193
 
7.0%
Close Punctuation 1192
 
7.0%
Uppercase Letter 431
 
2.5%
Space Separator 245
 
1.4%
Lowercase Letter 81
 
0.5%
Decimal Number 50
 
0.3%
Other Symbol 36
 
0.2%
Other Punctuation 23
 
0.1%
Dash Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1269
 
9.3%
이 758
 
5.5%
스 554
 
4.0%
에 354
 
2.6%
크 265
 
1.9%
아 257
 
1.9%
리 239
 
1.7%
테 235
 
1.7%
지 218
 
1.6%
사 175
 
1.3%
Other values (537) 9378
68.4%
Uppercase Letter
ValueCountFrequency (%)
C 42
 
9.7%
S 41
 
9.5%
O 35
 
8.1%
N 34
 
7.9%
E 33
 
7.7%
T 27
 
6.3%
G 24
 
5.6%
M 24
 
5.6%
D 19
 
4.4%
A 19
 
4.4%
Other values (16) 133
30.9%
Lowercase Letter
ValueCountFrequency (%)
e 19
23.5%
c 7
 
8.6%
a 6
 
7.4%
h 5
 
6.2%
r 5
 
6.2%
i 5
 
6.2%
d 5
 
6.2%
t 5
 
6.2%
n 5
 
6.2%
p 3
 
3.7%
Other values (9) 16
19.8%
Decimal Number
ValueCountFrequency (%)
2 30
60.0%
3 8
 
16.0%
1 5
 
10.0%
0 4
 
8.0%
4 2
 
4.0%
8 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
& 11
47.8%
. 10
43.5%
, 2
 
8.7%
Open Punctuation
ValueCountFrequency (%)
( 1193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1192
100.0%
Space Separator
ValueCountFrequency (%)
245
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13738
81.0%
Common 2713
 
16.0%
Latin 512
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1269
 
9.2%
이 758
 
5.5%
스 554
 
4.0%
에 354
 
2.6%
크 265
 
1.9%
아 257
 
1.9%
리 239
 
1.7%
테 235
 
1.7%
지 218
 
1.6%
사 175
 
1.3%
Other values (538) 9414
68.5%
Latin
ValueCountFrequency (%)
C 42
 
8.2%
S 41
 
8.0%
O 35
 
6.8%
N 34
 
6.6%
E 33
 
6.4%
T 27
 
5.3%
G 24
 
4.7%
M 24
 
4.7%
D 19
 
3.7%
A 19
 
3.7%
Other values (35) 214
41.8%
Common
ValueCountFrequency (%)
( 1193
44.0%
) 1192
43.9%
245
 
9.0%
2 30
 
1.1%
& 11
 
0.4%
. 10
 
0.4%
- 10
 
0.4%
3 8
 
0.3%
1 5
 
0.2%
0 4
 
0.1%
Other values (3) 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13702
80.8%
ASCII 3225
 
19.0%
None 36
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1269
 
9.3%
이 758
 
5.5%
스 554
 
4.0%
에 354
 
2.6%
크 265
 
1.9%
아 257
 
1.9%
리 239
 
1.7%
테 235
 
1.7%
지 218
 
1.6%
사 175
 
1.3%
Other values (537) 9378
68.4%
ASCII
ValueCountFrequency (%)
( 1193
37.0%
) 1192
37.0%
245
 
7.6%
C 42
 
1.3%
S 41
 
1.3%
O 35
 
1.1%
N 34
 
1.1%
E 33
 
1.0%
2 30
 
0.9%
T 27
 
0.8%
Other values (48) 353
 
10.9%
None
ValueCountFrequency (%)
㈜ 36
100.0%

공장대표주소(도로명)
Text

Distinct2228
Distinct (%)89.5%
Missing3
Missing (%)0.1%
Memory size19.6 KiB
2023-12-12T09:04:51.345199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length80
Mean length41.454984
Min length17

Characters and Unicode

Total characters103140
Distinct characters211
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

Unique2044 ?
Unique (%)82.2%

Sample

1st row인천광역시 부평구 부평대로 283, B동 5층 510 (청천동, 부평 우림라이온스밸리)
2nd row인천광역시 부평구 부평대로 301, 8층 816호 (청천동, 남광센트렉스) 외 1필지
3rd row인천광역시 부평구 마장로426번길 33, 301호(청천동)
4th row인천광역시 부평구 충선로 102, 2층 (부개동)
5th row인천광역시 부평구 주부토로 236, 제비동 b117호(갈산동) 제비동 b117호
ValueCountFrequency (%)
인천광역시 2488
 
12.7%
부평구 2488
 
12.7%
청천동 1472
 
7.5%
부평대로 1237
 
6.3%
부평 642
 
3.3%
283 464
 
2.4%
337 431
 
2.2%
지식산업센터 391
 
2.0%
제이타워3차 391
 
2.0%
우림라이온스밸리 278
 
1.4%
Other values (1971) 9330
47.6%
2023-12-12T09:04:51.801391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17137
 
16.6%
평 5069
 
4.9%
부 4994
 
4.8%
천 4852
 
4.7%
3 3791
 
3.7%
1 3592
 
3.5%
동 3370
 
3.3%
, 3131
 
3.0%
2 2803
 
2.7%
광 2715
 
2.6%
Other values (201) 51686
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56362
54.6%
Decimal Number 20216
 
19.6%
Space Separator 17137
 
16.6%
Other Punctuation 3138
 
3.0%
Open Punctuation 2509
 
2.4%
Close Punctuation 2508
 
2.4%
Uppercase Letter 1032
 
1.0%
Dash Punctuation 200
 
0.2%
Math Symbol 23
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 5069
 
9.0%
부 4994
 
8.9%
천 4852
 
8.6%
동 3370
 
6.0%
광 2715
 
4.8%
인 2618
 
4.6%
시 2611
 
4.6%
구 2507
 
4.4%
역 2490
 
4.4%
로 2463
 
4.4%
Other values (170) 22673
40.2%
Decimal Number
ValueCountFrequency (%)
3 3791
18.8%
1 3592
17.8%
2 2803
13.9%
0 2206
10.9%
7 1639
8.1%
8 1422
 
7.0%
4 1328
 
6.6%
5 1306
 
6.5%
9 1135
 
5.6%
6 994
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 591
57.3%
C 273
26.5%
A 139
 
13.5%
U 22
 
2.1%
F 2
 
0.2%
I 2
 
0.2%
E 1
 
0.1%
H 1
 
0.1%
K 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 3131
99.8%
. 7
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 2508
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2507
> 99.9%
] 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
b 4
50.0%
c 4
50.0%
Space Separator
ValueCountFrequency (%)
17137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56362
54.6%
Common 45731
44.3%
Latin 1047
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 5069
 
9.0%
부 4994
 
8.9%
천 4852
 
8.6%
동 3370
 
6.0%
광 2715
 
4.8%
인 2618
 
4.6%
시 2611
 
4.6%
구 2507
 
4.4%
역 2490
 
4.4%
로 2463
 
4.4%
Other values (170) 22673
40.2%
Common
ValueCountFrequency (%)
17137
37.5%
3 3791
 
8.3%
1 3592
 
7.9%
, 3131
 
6.8%
2 2803
 
6.1%
( 2508
 
5.5%
) 2507
 
5.5%
0 2206
 
4.8%
7 1639
 
3.6%
8 1422
 
3.1%
Other values (9) 4995
 
10.9%
Latin
ValueCountFrequency (%)
B 591
56.4%
C 273
26.1%
A 139
 
13.3%
U 22
 
2.1%
Ⅱ 7
 
0.7%
b 4
 
0.4%
c 4
 
0.4%
F 2
 
0.2%
I 2
 
0.2%
E 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56362
54.6%
ASCII 46771
45.3%
Number Forms 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17137
36.6%
3 3791
 
8.1%
1 3592
 
7.7%
, 3131
 
6.7%
2 2803
 
6.0%
( 2508
 
5.4%
) 2507
 
5.4%
0 2206
 
4.7%
7 1639
 
3.5%
8 1422
 
3.0%
Other values (20) 6035
 
12.9%
Hangul
ValueCountFrequency (%)
평 5069
 
9.0%
부 4994
 
8.9%
천 4852
 
8.6%
동 3370
 
6.0%
광 2715
 
4.8%
인 2618
 
4.6%
시 2611
 
4.6%
구 2507
 
4.4%
역 2490
 
4.4%
로 2463
 
4.4%
Other values (170) 22673
40.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
100.0%

관할조직명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
한국산업단지공단 인천지역본부 주안부평지사 부평사무소
1805 
인천광역시 부평구
545 
한국산업단지공단 인천지역본부 주안부평지사
 
137
한국산업단지공단 인천지역본부
 
3
<NA>
 
1

Length

Max length28
Median length28
Mean length23.487756
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row한국산업단지공단 인천지역본부 주안부평지사 부평사무소
2nd row한국산업단지공단 인천지역본부 주안부평지사 부평사무소
3rd row인천광역시 부평구
4th row인천광역시 부평구
5th row인천광역시 부평구

Common Values

ValueCountFrequency (%)
한국산업단지공단 인천지역본부 주안부평지사 부평사무소 1805
72.5%
인천광역시 부평구 545
 
21.9%
한국산업단지공단 인천지역본부 주안부평지사 137
 
5.5%
한국산업단지공단 인천지역본부 3
 
0.1%
<NA> 1
 
< 0.1%

Length

2023-12-12T09:04:51.921730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:04:52.025309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국산업단지공단 1945
22.3%
인천지역본부 1945
22.3%
주안부평지사 1942
22.3%
부평사무소 1805
20.7%
인천광역시 545
 
6.2%
부평구 545
 
6.2%
na 1
 
< 0.1%

전화번호
Text

MISSING 

Distinct1759
Distinct (%)91.0%
Missing558
Missing (%)22.4%
Memory size19.6 KiB
2023-12-12T09:04:52.248317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.069322
Min length2

Characters and Unicode

Total characters23330
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

Unique1619 ?
Unique (%)83.8%

Sample

1st row032-623-7980
2nd row02-860-7000
3rd row032-503-6401
4th row032-512-3366
5th row02-2662-9933
ValueCountFrequency (%)
032-245-0404 7
 
0.4%
032-238-0404 6
 
0.3%
070-4159-5480 5
 
0.3%
032-623-6996 5
 
0.3%
032-363-3326 4
 
0.2%
070-5032-2905 3
 
0.2%
032-507-9080 3
 
0.2%
032-623-5565 3
 
0.2%
032-518-6965 3
 
0.2%
032-256-3800 3
 
0.2%
Other values (1749) 1891
97.8%
2023-12-12T09:04:52.566117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3852
16.5%
0 3728
16.0%
2 3202
13.7%
3 3151
13.5%
5 2033
8.7%
7 1505
 
6.5%
6 1450
 
6.2%
1 1414
 
6.1%
4 1131
 
4.8%
8 1095
 
4.7%
Other values (4) 769
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19436
83.3%
Dash Punctuation 3852
 
16.5%
Uppercase Letter 42
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3728
19.2%
2 3202
16.5%
3 3151
16.2%
5 2033
10.5%
7 1505
7.7%
6 1450
 
7.5%
1 1414
 
7.3%
4 1131
 
5.8%
8 1095
 
5.6%
9 727
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 14
33.3%
R 14
33.3%
S 14
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 3852
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23288
99.8%
Latin 42
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3852
16.5%
0 3728
16.0%
2 3202
13.7%
3 3151
13.5%
5 2033
8.7%
7 1505
 
6.5%
6 1450
 
6.2%
1 1414
 
6.1%
4 1131
 
4.9%
8 1095
 
4.7%
Latin
ValueCountFrequency (%)
A 14
33.3%
R 14
33.3%
S 14
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3852
16.5%
0 3728
16.0%
2 3202
13.7%
3 3151
13.5%
5 2033
8.7%
7 1505
 
6.5%
6 1450
 
6.2%
1 1414
 
6.1%
4 1131
 
4.8%
8 1095
 
4.7%
Other values (4) 769
 
3.3%

생산품
Text

Distinct1935
Distinct (%)77.9%
Missing7
Missing (%)0.3%
Memory size19.6 KiB
2023-12-12T09:04:52.888828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length44
Mean length8.952496
Min length1

Characters and Unicode

Total characters22238
Distinct characters648
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1769 ?
Unique (%)71.2%

Sample

1st row초음파용착기 등
2nd row안전관련엔지니어링서비스
3rd row피복 및 의류 엑세서리
4th row간판 및 광고물
5th row페이스 쉴드
ValueCountFrequency (%)
등 161
 
3.2%
및 154
 
3.1%
외 86
 
1.7%
임대업 81
 
1.6%
개발 60
 
1.2%
금형 59
 
1.2%
소프트웨어 56
 
1.1%
전자부품 54
 
1.1%
부품 52
 
1.0%
플라스틱 36
 
0.7%
Other values (2445) 4248
84.2%
2023-12-12T09:04:53.320504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2594
 
11.7%
, 959
 
4.3%
기 901
 
4.1%
품 459
 
2.1%
스 416
 
1.9%
자 400
 
1.8%
전 394
 
1.8%
장 346
 
1.6%
부 335
 
1.5%
용 321
 
1.4%
Other values (638) 15113
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17311
77.8%
Space Separator 2594
 
11.7%
Other Punctuation 996
 
4.5%
Uppercase Letter 917
 
4.1%
Lowercase Letter 209
 
0.9%
Open Punctuation 95
 
0.4%
Close Punctuation 94
 
0.4%
Decimal Number 16
 
0.1%
Dash Punctuation 5
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 901
 
5.2%
품 459
 
2.7%
스 416
 
2.4%
자 400
 
2.3%
전 394
 
2.3%
장 346
 
2.0%
부 335
 
1.9%
용 321
 
1.9%
제 275
 
1.6%
동 269
 
1.6%
Other values (573) 13195
76.2%
Uppercase Letter
ValueCountFrequency (%)
C 140
15.3%
D 100
10.9%
L 84
9.2%
E 83
9.1%
T 70
 
7.6%
V 64
 
7.0%
P 57
 
6.2%
S 50
 
5.5%
B 34
 
3.7%
A 32
 
3.5%
Other values (13) 203
22.1%
Lowercase Letter
ValueCountFrequency (%)
e 25
12.0%
s 20
 
9.6%
c 19
 
9.1%
a 19
 
9.1%
n 14
 
6.7%
t 13
 
6.2%
i 12
 
5.7%
o 11
 
5.3%
r 10
 
4.8%
l 9
 
4.3%
Other values (13) 57
27.3%
Decimal Number
ValueCountFrequency (%)
3 6
37.5%
1 3
18.8%
0 2
 
12.5%
2 2
 
12.5%
4 1
 
6.2%
9 1
 
6.2%
5 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 959
96.3%
/ 22
 
2.2%
. 9
 
0.9%
· 4
 
0.4%
& 1
 
0.1%
' 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 94
98.9%
[ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
2594
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17311
77.8%
Common 3801
 
17.1%
Latin 1126
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 901
 
5.2%
품 459
 
2.7%
스 416
 
2.4%
자 400
 
2.3%
전 394
 
2.3%
장 346
 
2.0%
부 335
 
1.9%
용 321
 
1.9%
제 275
 
1.6%
동 269
 
1.6%
Other values (573) 13195
76.2%
Latin
ValueCountFrequency (%)
C 140
 
12.4%
D 100
 
8.9%
L 84
 
7.5%
E 83
 
7.4%
T 70
 
6.2%
V 64
 
5.7%
P 57
 
5.1%
S 50
 
4.4%
B 34
 
3.0%
A 32
 
2.8%
Other values (36) 412
36.6%
Common
ValueCountFrequency (%)
2594
68.2%
, 959
 
25.2%
( 94
 
2.5%
) 94
 
2.5%
/ 22
 
0.6%
. 9
 
0.2%
3 6
 
0.2%
- 5
 
0.1%
· 4
 
0.1%
1 3
 
0.1%
Other values (9) 11
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17308
77.8%
ASCII 4923
 
22.1%
None 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2594
52.7%
, 959
 
19.5%
C 140
 
2.8%
D 100
 
2.0%
( 94
 
1.9%
) 94
 
1.9%
L 84
 
1.7%
E 83
 
1.7%
T 70
 
1.4%
V 64
 
1.3%
Other values (54) 641
 
13.0%
Hangul
ValueCountFrequency (%)
기 901
 
5.2%
품 459
 
2.7%
스 416
 
2.4%
자 400
 
2.3%
전 394
 
2.3%
장 346
 
2.0%
부 335
 
1.9%
용 321
 
1.9%
제 275
 
1.6%
동 269
 
1.6%
Other values (570) 13192
76.2%
None
ValueCountFrequency (%)
· 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅐ 1
33.3%
ㅏ 1
33.3%
ㅇ 1
33.3%

공장크기
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
소기업
2416 
중기업
 
67
대기업
 
6
중견기업
 
2

Length

Max length4
Median length3
Mean length3.0008029
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소기업 2416
97.0%
중기업 67
 
2.7%
대기업 6
 
0.2%
중견기업 2
 
0.1%

Length

2023-12-12T09:04:53.437644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:04:53.520833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소기업 2416
97.0%
중기업 67
 
2.7%
대기업 6
 
0.2%
중견기업 2
 
0.1%

Interactions

2023-12-12T09:04:49.809657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:04:53.582210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관할조직명공장크기
순번1.0000.1100.067
관할조직명0.1101.0000.053
공장크기0.0670.0531.000
2023-12-12T09:04:53.659872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할조직명공장크기
관할조직명1.0000.021
공장크기0.0211.000
2023-12-12T09:04:53.734716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관할조직명공장크기
순번1.0000.0660.040
관할조직명0.0661.0000.021
공장크기0.0400.0211.000

Missing values

2023-12-12T09:04:49.919580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:04:50.024723image/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.
2023-12-12T09:04:50.125619image/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

순번회사명공장대표주소(도로명)관할조직명전화번호생산품공장크기
01비아이유에스인천광역시 부평구 부평대로 283, B동 5층 510 (청천동, 부평 우림라이온스밸리)한국산업단지공단 인천지역본부 주안부평지사 부평사무소032-623-7980초음파용착기 등소기업
12(사)대한산업안전협회인천광역시 부평구 부평대로 301, 8층 816호 (청천동, 남광센트렉스) 외 1필지한국산업단지공단 인천지역본부 주안부평지사 부평사무소02-860-7000안전관련엔지니어링서비스소기업
23(사)한국척수장애인협회 피복사업소인천광역시 부평구 마장로426번길 33, 301호(청천동)인천광역시 부평구032-503-6401피복 및 의류 엑세서리소기업
34(유)애드게이트인천광역시 부평구 충선로 102, 2층 (부개동)인천광역시 부평구032-512-3366간판 및 광고물소기업
45(유)웰스코리아인천광역시 부평구 주부토로 236, 제비동 b117호(갈산동) 제비동 b117호인천광역시 부평구02-2662-9933페이스 쉴드소기업
56(유)유지피디자인인천광역시 부평구 부평대로 283, C동 7층 701호, 702호, 703호, 703B호(청천동, 부평우림라이온스밸리) C동 7층 701호, 702호, 703호, 703B호한국산업단지공단 인천지역본부 주안부평지사 부평사무소032-623-7007자동차 설계 엔지니어링소기업
67(주)3R GLOBAL인천광역시 부평구 새벌로 14, 424-13 (청천동)한국산업단지공단 인천지역본부 주안부평지사 부평사무소070-8233-2565영상저장장치소기업
78(주)JCG(제이씨지)인천광역시 부평구 부평대로 337, 740호(청천동, 부평 제이타워3차 지식산업센터) 740호한국산업단지공단 인천지역본부 주안부평지사 부평사무소032-542-2067도장설비소기업
89(주)SIMPAC인천광역시 부평구 부평북로 127 (청천동) 외 2필지인천광역시 부평구032-510-0024프레스중견기업
910(주)SRC인천광역시 부평구 부평대로 283, A동 4층 508B호,509호 (청천동, 부평 우림라이온스밸리)한국산업단지공단 인천지역본부 주안부평지사 부평사무소032-623-7452빵,케익소기업
순번회사명공장대표주소(도로명)관할조직명전화번호생산품공장크기
24812482화창산업인천광역시 부평구 평천로141번길 45 (청천동)인천광역시 부평구032-504-6981전자부품, 금형소기업
24822483화창산업인천광역시 부평구 부평대로 301, B1층 112-1 (청천동, 남광센트렉스) B1층 112-1호한국산업단지공단 인천지역본부 주안부평지사 부평사무소032-529-6384의류부자재소기업
24832484효성산업인천광역시 부평구 부평대로 337, 8층 849호,850호,851호,852호(청천동, 부평 제이타워3차 지식산업센터) 8층 849호,850호,851호,852호한국산업단지공단 인천지역본부 주안부평지사 부평사무소<NA>씽크대, 주방가구, 디자인 등소기업
24842485효성실업인천광역시 부평구 부평대로 301, 2층 12호 (청천동, 남광센트렉스)한국산업단지공단 인천지역본부 주안부평지사 부평사무소<NA>임대소기업
24852486효성전자인천광역시 부평구 부평대로 301, 7층 713호(청천동, 남광센트렉스) 7층 713호한국산업단지공단 인천지역본부 주안부평지사 부평사무소032-545-1598이미용기기 제조소기업
24862487흥진산업인천광역시 부평구 청안로 17 (청천동)인천광역시 부평구032-522-9895전자부품, 운반용기소기업
24872488흥창기업인천광역시 부평구 구산로 24 (일신동)인천광역시 부평구032-508-2680통신장비케이스,전자부품소기업
24882489희림상사인천광역시 부평구 새벌로 56 (청천동)한국산업단지공단 인천지역본부 주안부평지사 부평사무소032-508-5600의류,배낭,조끼, 장갑소기업
24892490희성테크놀로지인천광역시 부평구 부평대로 301, 9층 914 (청천동, 남광센트렉스) 9층 914호한국산업단지공단 인천지역본부 주안부평지사 부평사무소<NA>소프트웨어개발소기업
24902491히어로 엔터테인먼트인천광역시 부평구 부평대로 337, 315호(청천동, 부평 제이타워3차 지식산업센터) 315호한국산업단지공단 인천지역본부 주안부평지사 부평사무소<NA>교구소기업