Overview

Dataset statistics

Number of variables10
Number of observations865
Missing cells248
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.6 KiB
Average record size in memory81.2 B

Variable types

Numeric1
Text7
DateTime2

Dataset

Description서울특별시 영등포구 공장 등록 현황제공 데이터: 회사명, 대표자명, 등록일, 주소(도로명 주소), 전화번호, 팩스번호, 업종명 등)
Author서울특별시 영등포구
URLhttps://www.data.go.kr/data/15047653/fileData.do

Alerts

전화번호 has 31 (3.6%) missing valuesMissing
팩스번호 has 205 (23.7%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:08:21.517025
Analysis finished2023-12-12 15:08:22.930813
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct865
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean433
Minimum1
Maximum865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2023-12-13T00:08:23.013836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile44.2
Q1217
median433
Q3649
95-th percentile821.8
Maximum865
Range864
Interquartile range (IQR)432

Descriptive statistics

Standard deviation249.84829
Coefficient of variation (CV)0.57701683
Kurtosis-1.2
Mean433
Median Absolute Deviation (MAD)216
Skewness0
Sum374545
Variance62424.167
MonotonicityStrictly increasing
2023-12-13T00:08:23.164279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
582 1
 
0.1%
571 1
 
0.1%
572 1
 
0.1%
573 1
 
0.1%
574 1
 
0.1%
575 1
 
0.1%
576 1
 
0.1%
577 1
 
0.1%
578 1
 
0.1%
Other values (855) 855
98.8%
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 (%)
865 1
0.1%
864 1
0.1%
863 1
0.1%
862 1
0.1%
861 1
0.1%
860 1
0.1%
859 1
0.1%
858 1
0.1%
857 1
0.1%
856 1
0.1%

회사명
Text

Distinct848
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2023-12-13T00:08:23.491960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length7.1641618
Min length2

Characters and Unicode

Total characters6197
Distinct characters441
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique831 ?
Unique (%)96.1%

Sample

1st row (주)제이앤스테크
2nd row(사)남북장애인교류협회 인쇄사업부
3rd row(사)장애인노동진흥회(행복한나무)
4th row(사)장애인인권센터ICT사업단
5th row(사)한국장애인기업협회 인쇄사업단
ValueCountFrequency (%)
주식회사 52
 
5.5%
주)당신의파트너 2
 
0.2%
아마노코리아(주 2
 
0.2%
한양식품 2
 
0.2%
주)엔에스네트웍스 2
 
0.2%
광진정밀 2
 
0.2%
모닝시스템(주 2
 
0.2%
주)토퍼스엔지니어링 2
 
0.2%
상진공업사 2
 
0.2%
대진공업사 2
 
0.2%
Other values (865) 874
92.6%
2023-12-13T00:08:23.927577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 505
 
8.1%
( 442
 
7.1%
) 442
 
7.1%
이 182
 
2.9%
스 166
 
2.7%
사 145
 
2.3%
에 99
 
1.6%
기 99
 
1.6%
아 84
 
1.4%
정 82
 
1.3%
Other values (431) 3951
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5110
82.5%
Open Punctuation 442
 
7.1%
Close Punctuation 442
 
7.1%
Space Separator 80
 
1.3%
Uppercase Letter 80
 
1.3%
Lowercase Letter 21
 
0.3%
Other Punctuation 17
 
0.3%
Decimal Number 4
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 505
 
9.9%
이 182
 
3.6%
스 166
 
3.2%
사 145
 
2.8%
에 99
 
1.9%
기 99
 
1.9%
아 84
 
1.6%
정 82
 
1.6%
업 78
 
1.5%
공 74
 
1.4%
Other values (386) 3596
70.4%
Uppercase Letter
ValueCountFrequency (%)
E 10
12.5%
N 8
10.0%
T 8
10.0%
C 6
 
7.5%
R 6
 
7.5%
A 6
 
7.5%
K 5
 
6.2%
S 5
 
6.2%
I 5
 
6.2%
M 4
 
5.0%
Other values (10) 17
21.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
14.3%
e 3
14.3%
c 2
 
9.5%
p 1
 
4.8%
v 1
 
4.8%
i 1
 
4.8%
b 1
 
4.8%
t 1
 
4.8%
x 1
 
4.8%
y 1
 
4.8%
Other values (6) 6
28.6%
Other Punctuation
ValueCountFrequency (%)
. 15
88.2%
/ 1
 
5.9%
& 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 442
100.0%
Close Punctuation
ValueCountFrequency (%)
) 442
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5111
82.5%
Common 985
 
15.9%
Latin 101
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 505
 
9.9%
이 182
 
3.6%
스 166
 
3.2%
사 145
 
2.8%
에 99
 
1.9%
기 99
 
1.9%
아 84
 
1.6%
정 82
 
1.6%
업 78
 
1.5%
공 74
 
1.4%
Other values (387) 3597
70.4%
Latin
ValueCountFrequency (%)
E 10
 
9.9%
N 8
 
7.9%
T 8
 
7.9%
C 6
 
5.9%
R 6
 
5.9%
A 6
 
5.9%
K 5
 
5.0%
S 5
 
5.0%
I 5
 
5.0%
M 4
 
4.0%
Other values (26) 38
37.6%
Common
ValueCountFrequency (%)
( 442
44.9%
) 442
44.9%
80
 
8.1%
. 15
 
1.5%
1 2
 
0.2%
2 2
 
0.2%
/ 1
 
0.1%
& 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5110
82.5%
ASCII 1086
 
17.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 505
 
9.9%
이 182
 
3.6%
스 166
 
3.2%
사 145
 
2.8%
에 99
 
1.9%
기 99
 
1.9%
아 84
 
1.6%
정 82
 
1.6%
업 78
 
1.5%
공 74
 
1.4%
Other values (386) 3596
70.4%
ASCII
ValueCountFrequency (%)
( 442
40.7%
) 442
40.7%
80
 
7.4%
. 15
 
1.4%
E 10
 
0.9%
N 8
 
0.7%
T 8
 
0.7%
C 6
 
0.6%
R 6
 
0.6%
A 6
 
0.6%
Other values (34) 63
 
5.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자명
Text

Distinct826
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2023-12-13T00:08:24.327587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.2104046
Min length2

Characters and Unicode

Total characters2777
Distinct characters207
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique789 ?
Unique (%)91.2%

Sample

1st row유홍헌
2nd row강석승
3rd row최성준
4th row박호상
5th row김대균
ValueCountFrequency (%)
외 5
 
0.6%
김의찬 3
 
0.3%
김상곤 3
 
0.3%
김금순 2
 
0.2%
이재식 2
 
0.2%
이성관 2
 
0.2%
이성철 2
 
0.2%
이광수 2
 
0.2%
김현륜 2
 
0.2%
김철웅 2
 
0.2%
Other values (837) 869
97.2%
2023-12-13T00:08:24.866396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 209
 
7.5%
이 178
 
6.4%
영 86
 
3.1%
정 75
 
2.7%
박 74
 
2.7%
수 58
 
2.1%
성 53
 
1.9%
진 49
 
1.8%
용 48
 
1.7%
호 46
 
1.7%
Other values (197) 1901
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2686
96.7%
Space Separator 30
 
1.1%
Other Punctuation 29
 
1.0%
Uppercase Letter 22
 
0.8%
Decimal Number 8
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 209
 
7.8%
이 178
 
6.6%
영 86
 
3.2%
정 75
 
2.8%
박 74
 
2.8%
수 58
 
2.2%
성 53
 
2.0%
진 49
 
1.8%
용 48
 
1.8%
호 46
 
1.7%
Other values (175) 1810
67.4%
Uppercase Letter
ValueCountFrequency (%)
I 4
18.2%
A 3
13.6%
K 3
13.6%
E 2
9.1%
M 2
9.1%
S 1
 
4.5%
T 1
 
4.5%
H 1
 
4.5%
N 1
 
4.5%
V 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
1 5
62.5%
2 1
 
12.5%
4 1
 
12.5%
6 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 27
93.1%
. 2
 
6.9%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2686
96.7%
Common 69
 
2.5%
Latin 22
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 209
 
7.8%
이 178
 
6.6%
영 86
 
3.2%
정 75
 
2.8%
박 74
 
2.8%
수 58
 
2.2%
성 53
 
2.0%
진 49
 
1.8%
용 48
 
1.8%
호 46
 
1.7%
Other values (175) 1810
67.4%
Latin
ValueCountFrequency (%)
I 4
18.2%
A 3
13.6%
K 3
13.6%
E 2
9.1%
M 2
9.1%
S 1
 
4.5%
T 1
 
4.5%
H 1
 
4.5%
N 1
 
4.5%
V 1
 
4.5%
Other values (3) 3
13.6%
Common
ValueCountFrequency (%)
30
43.5%
, 27
39.1%
1 5
 
7.2%
. 2
 
2.9%
( 1
 
1.4%
) 1
 
1.4%
2 1
 
1.4%
4 1
 
1.4%
6 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2686
96.7%
ASCII 91
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 209
 
7.8%
이 178
 
6.6%
영 86
 
3.2%
정 75
 
2.8%
박 74
 
2.8%
수 58
 
2.2%
성 53
 
2.0%
진 49
 
1.8%
용 48
 
1.8%
호 46
 
1.7%
Other values (175) 1810
67.4%
ASCII
ValueCountFrequency (%)
30
33.0%
, 27
29.7%
1 5
 
5.5%
I 4
 
4.4%
A 3
 
3.3%
K 3
 
3.3%
E 2
 
2.2%
. 2
 
2.2%
M 2
 
2.2%
S 1
 
1.1%
Other values (12) 12
 
13.2%

최초등록일
Date

Distinct740
Distinct (%)86.1%
Missing6
Missing (%)0.7%
Memory size6.9 KiB
Minimum1978-03-01 00:00:00
Maximum2023-11-02 00:00:00
2023-12-13T00:08:25.064712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:08:25.257325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록일
Date

Distinct753
Distinct (%)87.7%
Missing6
Missing (%)0.7%
Memory size6.9 KiB
Minimum1978-03-01 00:00:00
Maximum2023-11-03 00:00:00
2023-12-13T00:08:25.424144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:08:25.562259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct815
Distinct (%)97.7%
Missing31
Missing (%)3.6%
Memory size6.9 KiB
2023-12-13T00:08:25.860503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.790168
Min length11

Characters and Unicode

Total characters9833
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

Unique798 ?
Unique (%)95.7%

Sample

1st row02-2069-4500
2nd row02-738-2221
3rd row02-324-7335
4th row02-6123-4400
5th row02-831-2065
ValueCountFrequency (%)
02-2633-9780 3
 
0.4%
02-2634-7293 3
 
0.4%
02-2631-0903 2
 
0.2%
02-6925-4923 2
 
0.2%
02-1566-8544 2
 
0.2%
02-1588-0188 2
 
0.2%
02-3439-2880 2
 
0.2%
02-1661-3815 2
 
0.2%
02-716-1996 2
 
0.2%
02-2677-1750 2
 
0.2%
Other values (805) 812
97.4%
2023-12-13T00:08:26.344058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1736
17.7%
- 1668
17.0%
0 1429
14.5%
6 960
9.8%
3 785
8.0%
7 676
 
6.9%
1 608
 
6.2%
8 568
 
5.8%
4 511
 
5.2%
5 506
 
5.1%
Other values (4) 386
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8162
83.0%
Dash Punctuation 1668
 
17.0%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1736
21.3%
0 1429
17.5%
6 960
11.8%
3 785
9.6%
7 676
 
8.3%
1 608
 
7.4%
8 568
 
7.0%
4 511
 
6.3%
5 506
 
6.2%
9 383
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
R 1
33.3%
S 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1668
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9830
> 99.9%
Latin 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1736
17.7%
- 1668
17.0%
0 1429
14.5%
6 960
9.8%
3 785
8.0%
7 676
 
6.9%
1 608
 
6.2%
8 568
 
5.8%
4 511
 
5.2%
5 506
 
5.1%
Latin
ValueCountFrequency (%)
A 1
33.3%
R 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9833
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1736
17.7%
- 1668
17.0%
0 1429
14.5%
6 960
9.8%
3 785
8.0%
7 676
 
6.9%
1 608
 
6.2%
8 568
 
5.8%
4 511
 
5.2%
5 506
 
5.1%
Other values (4) 386
 
3.9%

팩스번호
Text

MISSING 

Distinct637
Distinct (%)96.5%
Missing205
Missing (%)23.7%
Memory size6.9 KiB
2023-12-13T00:08:26.611253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.751515
Min length11

Characters and Unicode

Total characters7756
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

Unique618 ?
Unique (%)93.6%

Sample

1st row02-2069-4600
2nd row02-739-3843
3rd row02-6929-3904
4th row02-6123-4404
5th row02-2632-9776
ValueCountFrequency (%)
02-2671-2297 5
 
0.8%
02-2633-7294 3
 
0.5%
02-2671-4411 2
 
0.3%
02-716-1997 2
 
0.3%
02-882-7760 2
 
0.3%
02-516-6714 2
 
0.3%
02-461-1657 2
 
0.3%
02-2164-3020 2
 
0.3%
02-3439-2887 2
 
0.3%
02-783-3664 2
 
0.3%
Other values (627) 636
96.4%
2023-12-13T00:08:27.063239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1390
17.9%
- 1320
17.0%
0 1070
13.8%
6 790
10.2%
7 592
7.6%
3 526
 
6.8%
1 473
 
6.1%
8 442
 
5.7%
5 413
 
5.3%
4 387
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6436
83.0%
Dash Punctuation 1320
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1390
21.6%
0 1070
16.6%
6 790
12.3%
7 592
9.2%
3 526
 
8.2%
1 473
 
7.3%
8 442
 
6.9%
5 413
 
6.4%
4 387
 
6.0%
9 353
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 1320
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1390
17.9%
- 1320
17.0%
0 1070
13.8%
6 790
10.2%
7 592
7.6%
3 526
 
6.8%
1 473
 
6.1%
8 442
 
5.7%
5 413
 
5.3%
4 387
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1390
17.9%
- 1320
17.0%
0 1070
13.8%
6 790
10.2%
7 592
7.6%
3 526
 
6.8%
1 473
 
6.1%
8 442
 
5.7%
5 413
 
5.3%
4 387
 
5.0%

생산품
Text

Distinct757
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2023-12-13T00:08:27.432196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length53
Mean length9.5306358
Min length1

Characters and Unicode

Total characters8244
Distinct characters518
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique709 ?
Unique (%)82.0%

Sample

1st row조명기구,공기청정기
2nd row기타 인쇄물
3rd row인쇄물,출판물,진행문서화일
4th rowCCTV, 전광판(도로정보),LED 조명기구
5th row인쇄물
ValueCountFrequency (%)
및 48
 
3.2%
등 36
 
2.4%
인쇄물 34
 
2.3%
외 22
 
1.5%
금형 15
 
1.0%
컴퓨터 14
 
0.9%
기계부품 14
 
0.9%
간판 12
 
0.8%
cctv 11
 
0.7%
부품 10
 
0.7%
Other values (1046) 1290
85.7%
2023-12-13T00:08:27.943324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
646
 
7.8%
, 451
 
5.5%
기 428
 
5.2%
품 168
 
2.0%
전 148
 
1.8%
스 133
 
1.6%
제 127
 
1.5%
부 127
 
1.5%
장 115
 
1.4%
인 102
 
1.2%
Other values (508) 5799
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6299
76.4%
Space Separator 646
 
7.8%
Other Punctuation 465
 
5.6%
Uppercase Letter 456
 
5.5%
Lowercase Letter 253
 
3.1%
Decimal Number 44
 
0.5%
Close Punctuation 40
 
0.5%
Open Punctuation 40
 
0.5%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 428
 
6.8%
품 168
 
2.7%
전 148
 
2.3%
스 133
 
2.1%
제 127
 
2.0%
부 127
 
2.0%
장 115
 
1.8%
인 102
 
1.6%
물 102
 
1.6%
계 102
 
1.6%
Other values (445) 4747
75.4%
Uppercase Letter
ValueCountFrequency (%)
C 63
13.8%
T 41
 
9.0%
D 36
 
7.9%
L 33
 
7.2%
P 31
 
6.8%
E 30
 
6.6%
A 29
 
6.4%
V 27
 
5.9%
I 26
 
5.7%
S 22
 
4.8%
Other values (13) 118
25.9%
Lowercase Letter
ValueCountFrequency (%)
a 32
12.6%
r 31
12.3%
e 28
11.1%
t 24
9.5%
i 19
 
7.5%
o 17
 
6.7%
l 14
 
5.5%
c 12
 
4.7%
n 10
 
4.0%
s 9
 
3.6%
Other values (13) 57
22.5%
Decimal Number
ValueCountFrequency (%)
0 19
43.2%
2 7
 
15.9%
1 6
 
13.6%
3 4
 
9.1%
4 2
 
4.5%
7 2
 
4.5%
6 2
 
4.5%
5 1
 
2.3%
8 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 451
97.0%
/ 9
 
1.9%
. 4
 
0.9%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
646
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6299
76.4%
Common 1236
 
15.0%
Latin 709
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 428
 
6.8%
품 168
 
2.7%
전 148
 
2.3%
스 133
 
2.1%
제 127
 
2.0%
부 127
 
2.0%
장 115
 
1.8%
인 102
 
1.6%
물 102
 
1.6%
계 102
 
1.6%
Other values (445) 4747
75.4%
Latin
ValueCountFrequency (%)
C 63
 
8.9%
T 41
 
5.8%
D 36
 
5.1%
L 33
 
4.7%
a 32
 
4.5%
P 31
 
4.4%
r 31
 
4.4%
E 30
 
4.2%
A 29
 
4.1%
e 28
 
3.9%
Other values (36) 355
50.1%
Common
ValueCountFrequency (%)
646
52.3%
, 451
36.5%
) 40
 
3.2%
( 40
 
3.2%
0 19
 
1.5%
/ 9
 
0.7%
2 7
 
0.6%
1 6
 
0.5%
3 4
 
0.3%
. 4
 
0.3%
Other values (7) 10
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6299
76.4%
ASCII 1945
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
646
33.2%
, 451
23.2%
C 63
 
3.2%
T 41
 
2.1%
) 40
 
2.1%
( 40
 
2.1%
D 36
 
1.9%
L 33
 
1.7%
a 32
 
1.6%
P 31
 
1.6%
Other values (53) 532
27.4%
Hangul
ValueCountFrequency (%)
기 428
 
6.8%
품 168
 
2.7%
전 148
 
2.3%
스 133
 
2.1%
제 127
 
2.0%
부 127
 
2.0%
장 115
 
1.8%
인 102
 
1.6%
물 102
 
1.6%
계 102
 
1.6%
Other values (445) 4747
75.4%

공장대표주소(도로명)
Text

Distinct824
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2023-12-13T00:08:28.238705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length60
Mean length36.891329
Min length20

Characters and Unicode

Total characters31911
Distinct characters268
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique799 ?
Unique (%)92.4%

Sample

1st row서울특별시 영등포구 선유로 70, 10층 1002호 (문래동3가, 우리벤처타운2)
2nd row서울특별시 영등포구 경인로82길 3-4, B2층 B201 (문래동1가, 센터플러스)
3rd row서울특별시 영등포구 양산로 96 (당산동2가)
4th row서울특별시 영등포구 선유로49길 23, 302,311,315,316호 (양평동4가)
5th row서울특별시 영등포구 도림동 150-8번지
ValueCountFrequency (%)
서울특별시 865
 
15.2%
영등포구 865
 
15.2%
문래동1가 120
 
2.1%
양평동3가 106
 
1.9%
문래동3가 90
 
1.6%
경인로82길 71
 
1.2%
3-4 68
 
1.2%
양산로 61
 
1.1%
센터플러스 57
 
1.0%
선유로 53
 
0.9%
Other values (1055) 3348
58.7%
2023-12-13T00:08:28.917494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4839
 
15.2%
1 1436
 
4.5%
영 1013
 
3.2%
동 991
 
3.1%
등 968
 
3.0%
포 968
 
3.0%
시 914
 
2.9%
서 891
 
2.8%
울 867
 
2.7%
별 866
 
2.7%
Other values (258) 18158
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18081
56.7%
Decimal Number 5949
 
18.6%
Space Separator 4839
 
15.2%
Open Punctuation 850
 
2.7%
Close Punctuation 850
 
2.7%
Other Punctuation 830
 
2.6%
Dash Punctuation 234
 
0.7%
Uppercase Letter 187
 
0.6%
Lowercase Letter 69
 
0.2%
Math Symbol 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 1013
 
5.6%
동 991
 
5.5%
등 968
 
5.4%
포 968
 
5.4%
시 914
 
5.1%
서 891
 
4.9%
울 867
 
4.8%
별 866
 
4.8%
특 865
 
4.8%
구 865
 
4.8%
Other values (214) 8873
49.1%
Uppercase Letter
ValueCountFrequency (%)
B 85
45.5%
K 41
21.9%
A 11
 
5.9%
S 9
 
4.8%
V 8
 
4.3%
E 6
 
3.2%
F 6
 
3.2%
W 4
 
2.1%
T 4
 
2.1%
D 3
 
1.6%
Other values (8) 10
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 1436
24.1%
2 842
14.2%
3 780
13.1%
4 603
10.1%
0 556
 
9.3%
5 472
 
7.9%
7 393
 
6.6%
6 362
 
6.1%
8 276
 
4.6%
9 229
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
n 23
33.3%
e 17
24.6%
c 8
 
11.6%
t 8
 
11.6%
r 8
 
11.6%
b 3
 
4.3%
z 1
 
1.4%
i 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 825
99.4%
. 4
 
0.5%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4839
100.0%
Open Punctuation
ValueCountFrequency (%)
( 850
100.0%
Close Punctuation
ValueCountFrequency (%)
) 850
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18081
56.7%
Common 13574
42.5%
Latin 256
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 1013
 
5.6%
동 991
 
5.5%
등 968
 
5.4%
포 968
 
5.4%
시 914
 
5.1%
서 891
 
4.9%
울 867
 
4.8%
별 866
 
4.8%
특 865
 
4.8%
구 865
 
4.8%
Other values (214) 8873
49.1%
Latin
ValueCountFrequency (%)
B 85
33.2%
K 41
16.0%
n 23
 
9.0%
e 17
 
6.6%
A 11
 
4.3%
S 9
 
3.5%
c 8
 
3.1%
t 8
 
3.1%
r 8
 
3.1%
V 8
 
3.1%
Other values (16) 38
14.8%
Common
ValueCountFrequency (%)
4839
35.6%
1 1436
 
10.6%
( 850
 
6.3%
) 850
 
6.3%
2 842
 
6.2%
, 825
 
6.1%
3 780
 
5.7%
4 603
 
4.4%
0 556
 
4.1%
5 472
 
3.5%
Other values (8) 1521
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18081
56.7%
ASCII 13830
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4839
35.0%
1 1436
 
10.4%
( 850
 
6.1%
) 850
 
6.1%
2 842
 
6.1%
, 825
 
6.0%
3 780
 
5.6%
4 603
 
4.4%
0 556
 
4.0%
5 472
 
3.4%
Other values (34) 1777
 
12.8%
Hangul
ValueCountFrequency (%)
영 1013
 
5.6%
동 991
 
5.5%
등 968
 
5.4%
포 968
 
5.4%
시 914
 
5.1%
서 891
 
4.9%
울 867
 
4.8%
별 866
 
4.8%
특 865
 
4.8%
구 865
 
4.8%
Other values (214) 8873
49.1%

업종명
Text

Distinct406
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2023-12-13T00:08:29.204087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length16
Min length3

Characters and Unicode

Total characters13840
Distinct characters280
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)29.1%

Sample

1st row일반용조명장치제조업 외 1 종
2nd row기타 인쇄업 외 1 종
3rd row문구용 종이제품 제조업 외 5 종
4th row방송장비 제조업 외 6 종
5th row경 인쇄업 외 2 종
ValueCountFrequency (%)
제조업 683
 
15.0%
외 513
 
11.2%
종 428
 
9.4%
및 319
 
7.0%
기타 251
 
5.5%
1 197
 
4.3%
그 85
 
1.9%
인쇄업 82
 
1.8%
2 81
 
1.8%
전기 47
 
1.0%
Other values (409) 1876
41.1%
2023-12-13T00:08:29.630759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3700
26.7%
업 891
 
6.4%
제 847
 
6.1%
조 774
 
5.6%
기 663
 
4.8%
외 527
 
3.8%
종 438
 
3.2%
및 330
 
2.4%
타 269
 
1.9%
1 225
 
1.6%
Other values (270) 5176
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9607
69.4%
Space Separator 3700
 
26.7%
Decimal Number 456
 
3.3%
Other Punctuation 71
 
0.5%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 891
 
9.3%
제 847
 
8.8%
조 774
 
8.1%
기 663
 
6.9%
외 527
 
5.5%
종 438
 
4.6%
및 330
 
3.4%
타 269
 
2.8%
장 205
 
2.1%
용 182
 
1.9%
Other values (255) 4481
46.6%
Decimal Number
ValueCountFrequency (%)
1 225
49.3%
2 89
 
19.5%
3 50
 
11.0%
4 23
 
5.0%
5 18
 
3.9%
6 18
 
3.9%
7 13
 
2.9%
9 7
 
1.5%
0 7
 
1.5%
8 6
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 69
97.2%
· 2
 
2.8%
Space Separator
ValueCountFrequency (%)
3700
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9607
69.4%
Common 4233
30.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 891
 
9.3%
제 847
 
8.8%
조 774
 
8.1%
기 663
 
6.9%
외 527
 
5.5%
종 438
 
4.6%
및 330
 
3.4%
타 269
 
2.8%
장 205
 
2.1%
용 182
 
1.9%
Other values (255) 4481
46.6%
Common
ValueCountFrequency (%)
3700
87.4%
1 225
 
5.3%
2 89
 
2.1%
, 69
 
1.6%
3 50
 
1.2%
4 23
 
0.5%
5 18
 
0.4%
6 18
 
0.4%
7 13
 
0.3%
9 7
 
0.2%
Other values (5) 21
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9605
69.4%
ASCII 4231
30.6%
None 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3700
87.4%
1 225
 
5.3%
2 89
 
2.1%
, 69
 
1.6%
3 50
 
1.2%
4 23
 
0.5%
5 18
 
0.4%
6 18
 
0.4%
7 13
 
0.3%
9 7
 
0.2%
Other values (4) 19
 
0.4%
Hangul
ValueCountFrequency (%)
업 891
 
9.3%
제 847
 
8.8%
조 774
 
8.1%
기 663
 
6.9%
외 527
 
5.5%
종 438
 
4.6%
및 330
 
3.4%
타 269
 
2.8%
장 205
 
2.1%
용 182
 
1.9%
Other values (254) 4479
46.6%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

Interactions

2023-12-13T00:08:22.429959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T00:08:22.561855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:08:22.761322image/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.
2023-12-13T00:08:22.871836image/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

순번회사명대표자명최초등록일등록일전화번호팩스번호생산품공장대표주소(도로명)업종명
01(주)제이앤스테크유홍헌2004-03-152004-03-1502-2069-450002-2069-4600조명기구,공기청정기서울특별시 영등포구 선유로 70, 10층 1002호 (문래동3가, 우리벤처타운2)일반용조명장치제조업 외 1 종
12(사)남북장애인교류협회 인쇄사업부강석승2015-01-062020-09-1002-738-222102-739-3843기타 인쇄물서울특별시 영등포구 경인로82길 3-4, B2층 B201 (문래동1가, 센터플러스)기타 인쇄업 외 1 종
23(사)장애인노동진흥회(행복한나무)최성준2011-05-172020-09-2302-324-733502-6929-3904인쇄물,출판물,진행문서화일서울특별시 영등포구 양산로 96 (당산동2가)문구용 종이제품 제조업 외 5 종
34(사)장애인인권센터ICT사업단박호상2015-01-092023-02-1002-6123-440002-6123-4404CCTV, 전광판(도로정보),LED 조명기구서울특별시 영등포구 선유로49길 23, 302,311,315,316호 (양평동4가)방송장비 제조업 외 6 종
45(사)한국장애인기업협회 인쇄사업단김대균2009-07-072009-07-0702-831-2065<NA>인쇄물서울특별시 영등포구 도림동 150-8번지경 인쇄업 외 2 종
56(주)가나이엔지강재선2013-08-082016-02-2602-2671-268602-2632-9776무선 송신기서울특별시 영등포구 경인로71길 70, 1005호~1006호 (문래동5가, 벽산디지털밸리)기타 무선 통신장비 제조업 외 1 종
67(주)가람아이앤씨김태주2009-10-012009-10-0902-6673-808602-6673-8085산업용 콘트롤러, 통신기기서울특별시 영등포구 당산로2길 12, 에이스테크노타워301 (문래동3가)컴퓨터 제조업
78(주)가시강우석2019-05-012020-02-18070-4221-8528070-4148-8528영상감지장치,보안용카메라,차량번호판독기서울특별시 영등포구 경인로71길 70, B102호 (문래동5가, 벽산디지털밸리)방송장비 제조업 외 1 종
89(주)가을디에스신연희, 김택수2022-02-092022-07-2802-711-451502-3273-2204컴퓨터, 교육용로봇서울특별시 영등포구 양평로30길 14, 705호, 706호(양평동6가) 705호, 706호기타 측정, 시험, 항해, 제어 및 정밀기기 제조업 외 4 종
910(주)가이드삼정문용만2020-02-252020-02-2502-780-232302-780-0169조명장치서울특별시 영등포구 영신로 220, 14층 1411,1412 (영등포동8가, KnK디지털타워)전시 및 광고용 조명장치 제조업 외 1 종
순번회사명대표자명최초등록일등록일전화번호팩스번호생산품공장대표주소(도로명)업종명
855856호경엔지니어링정동원2017-11-152017-11-15<NA>02-2068-1883금형, 플라스틱 제품서울특별시 영등포구 양산로 34 (양평동1가, 동신교통(주))그 외 기타 플라스틱 제품 제조업 외 1 종
856857호진엔지니어링(주)이동성2020-01-202020-01-2902-867-097002-2678-0970PLC(자동화)시스템, LED등기구 외서울특별시 영등포구 선유로9길 10, 6층 602 (문래동6가)전기회로 접속장치 제조업 외 1 종
857858홈넷홈 주식회사이정원2016-09-092016-09-0902-2164-863102-853-0329홈네트워크 제품서울특별시 영등포구 양산로 43, 3층 301 (양평동3가, 양평동우림 이 비지센타)유선 통신장비 제조업
858859홍진산업왕병찬2005-10-282005-10-2802-832-2298<NA>저울부품, 현상기부품서울특별시 영등포구 도신로 195-9 (신길동)일반저울 제조업 외 1 종
859860화성정밀김 철1996-01-162017-03-0702-2633-359502-2633-9679전자부품서울특별시 영등포구 양평로22가길 19-1 (양평동5가)주형 및 금형 제조업
860861화성진공열처리정영민2007-07-052009-08-2502-3667-258502-3667-2584금속열처리 가공품서울특별시 영등포구 도림로147길 12 (문래동4가)금속 열처리업
861862환영기획인쇄김철수2010-02-102010-02-1002-2164-337002-2164-3371인쇄물서울특별시 영등포구 경인로82길 3-4, 센터플러스 918호 (문래동1가)제판 및 조판업 외 2 종
862863효성금속열처리이하용2004-05-062004-05-0702-2677-5936<NA>금속열처리서울특별시 영등포구 선유로 176 (양평동3가)금속 열처리업
863864효신전기(주)문용호2004-03-242012-06-0702-2634-464902-2631-7485밸브서울특별시 영등포구 선유동1로 24-7 (당산동2가)그 외 기타 전자부품 제조업 외 3 종
864865훈테크이채훈2016-07-042016-07-0402-2635-730502-2679-7305자동화 부품서울특별시 영등포구 경인로71길 50, A동 1층 (문래동4가, 조흥힐그린)절삭가공 및 유사처리업