Overview

Dataset statistics

Number of variables9
Number of observations4566
Missing cells3236
Missing cells (%)7.9%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory321.2 KiB
Average record size in memory72.0 B

Variable types

Text7
Categorical2

Dataset

Description경남 창원시 관내(의창구, 성산구, 마산합포구, 마산회원구, 진해구)에 소재하고 있으며 제조업 공장으로 등록된 현황을 제공합니다.(2021년 8월 31일 기준)
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3066436

Alerts

데이터제공일자 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates
대표자 has 734 (16.1%) missing valuesMissing
전화번호 has 378 (8.3%) missing valuesMissing
팩스번호 has 2124 (46.5%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:59:03.677564
Analysis finished2023-12-10 22:59:05.167174
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct4150
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
2023-12-11T07:59:05.395294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length6.2293035
Min length1

Characters and Unicode

Total characters28443
Distinct characters587
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3827 ?
Unique (%)83.8%

Sample

1st row(유)반디엘이디
2nd row(유)부길
3rd row(유)송원산업
4th row(유)현대기공
5th row(주)ACE전자
ValueCountFrequency (%)
주식회사 150
 
3.1%
창원공장 23
 
0.5%
제2공장 12
 
0.2%
tech 11
 
0.2%
주 10
 
0.2%
2공장 8
 
0.2%
유한회사 6
 
0.1%
성진정밀 6
 
0.1%
명진테크 5
 
0.1%
명성테크 5
 
0.1%
Other values (4190) 4678
95.2%
2023-12-11T07:59:05.895690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2078
 
7.3%
) 1913
 
6.7%
( 1910
 
6.7%
이 759
 
2.7%
크 736
 
2.6%
테 712
 
2.5%
정 653
 
2.3%
업 567
 
2.0%
성 566
 
2.0%
스 556
 
2.0%
Other values (577) 17993
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23120
81.3%
Close Punctuation 1913
 
6.7%
Open Punctuation 1910
 
6.7%
Uppercase Letter 894
 
3.1%
Space Separator 354
 
1.2%
Decimal Number 89
 
0.3%
Other Punctuation 77
 
0.3%
Lowercase Letter 58
 
0.2%
Dash Punctuation 21
 
0.1%
Other Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2078
 
9.0%
이 759
 
3.3%
크 736
 
3.2%
테 712
 
3.1%
정 653
 
2.8%
업 567
 
2.5%
성 566
 
2.4%
스 556
 
2.4%
공 494
 
2.1%
기 478
 
2.1%
Other values (518) 15521
67.1%
Uppercase Letter
ValueCountFrequency (%)
E 108
12.1%
T 103
11.5%
S 95
10.6%
C 87
9.7%
M 61
 
6.8%
H 58
 
6.5%
N 57
 
6.4%
G 53
 
5.9%
A 39
 
4.4%
K 29
 
3.2%
Other values (15) 204
22.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
19.0%
c 7
12.1%
n 6
10.3%
h 6
10.3%
i 5
8.6%
s 4
 
6.9%
g 3
 
5.2%
d 3
 
5.2%
l 2
 
3.4%
t 2
 
3.4%
Other values (7) 9
15.5%
Decimal Number
ValueCountFrequency (%)
2 48
53.9%
1 21
23.6%
3 11
 
12.4%
4 6
 
6.7%
8 2
 
2.2%
5 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 50
64.9%
& 21
27.3%
, 3
 
3.9%
？ 2
 
2.6%
/ 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 1913
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1910
100.0%
Space Separator
ValueCountFrequency (%)
354
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23116
81.3%
Common 4365
 
15.3%
Latin 952
 
3.3%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2078
 
9.0%
이 759
 
3.3%
크 736
 
3.2%
테 712
 
3.1%
정 653
 
2.8%
업 567
 
2.5%
성 566
 
2.4%
스 556
 
2.4%
공 494
 
2.1%
기 478
 
2.1%
Other values (509) 15517
67.1%
Latin
ValueCountFrequency (%)
E 108
11.3%
T 103
 
10.8%
S 95
 
10.0%
C 87
 
9.1%
M 61
 
6.4%
H 58
 
6.1%
N 57
 
6.0%
G 53
 
5.6%
A 39
 
4.1%
K 29
 
3.0%
Other values (32) 262
27.5%
Common
ValueCountFrequency (%)
) 1913
43.8%
( 1910
43.8%
354
 
8.1%
. 50
 
1.1%
2 48
 
1.1%
- 21
 
0.5%
1 21
 
0.5%
& 21
 
0.5%
3 11
 
0.3%
4 6
 
0.1%
Other values (6) 10
 
0.2%
Han
ValueCountFrequency (%)
會 1
10.0%
株 1
10.0%
韓 1
10.0%
逸 1
10.0%
鍛 1
10.0%
造 1
10.0%
工 1
10.0%
業 1
10.0%
式 1
10.0%
社 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23110
81.3%
ASCII 5315
 
18.7%
CJK 10
 
< 0.1%
None 8
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2078
 
9.0%
이 759
 
3.3%
크 736
 
3.2%
테 712
 
3.1%
정 653
 
2.8%
업 567
 
2.5%
성 566
 
2.4%
스 556
 
2.4%
공 494
 
2.1%
기 478
 
2.1%
Other values (508) 15511
67.1%
ASCII
ValueCountFrequency (%)
) 1913
36.0%
( 1910
35.9%
354
 
6.7%
E 108
 
2.0%
T 103
 
1.9%
S 95
 
1.8%
C 87
 
1.6%
M 61
 
1.1%
H 58
 
1.1%
N 57
 
1.1%
Other values (47) 569
 
10.7%
None
ValueCountFrequency (%)
㈜ 6
75.0%
？ 2
 
25.0%
CJK
ValueCountFrequency (%)
會 1
10.0%
株 1
10.0%
韓 1
10.0%
逸 1
10.0%
鍛 1
10.0%
造 1
10.0%
工 1
10.0%
業 1
10.0%
式 1
10.0%
社 1
10.0%

대표자
Text

MISSING 

Distinct3200
Distinct (%)83.5%
Missing734
Missing (%)16.1%
Memory size35.8 KiB
2023-12-11T07:59:06.289499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.1805846
Min length2

Characters and Unicode

Total characters12188
Distinct characters316
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

Unique2735 ?
Unique (%)71.4%

Sample

1st row홍종대
2nd row하창도
3rd row김윤도
4th row양희태
5th row홍상철
ValueCountFrequency (%)
외 11
 
0.3%
이귀현 10
 
0.3%
이수태 7
 
0.2%
김경배 6
 
0.2%
김두영 5
 
0.1%
외1인 5
 
0.1%
서병완 5
 
0.1%
1명 5
 
0.1%
김병준 5
 
0.1%
김성호 5
 
0.1%
Other values (3248) 3891
98.4%
2023-12-11T07:59:06.811634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 808
 
6.6%
이 586
 
4.8%
정 405
 
3.3%
박 364
 
3.0%
영 324
 
2.7%
성 251
 
2.1%
수 246
 
2.0%
종 231
 
1.9%
호 222
 
1.8%
현 199
 
1.6%
Other values (306) 8552
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11898
97.6%
Space Separator 125
 
1.0%
Other Punctuation 106
 
0.9%
Decimal Number 33
 
0.3%
Uppercase Letter 20
 
0.2%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 808
 
6.8%
이 586
 
4.9%
정 405
 
3.4%
박 364
 
3.1%
영 324
 
2.7%
성 251
 
2.1%
수 246
 
2.1%
종 231
 
1.9%
호 222
 
1.9%
현 199
 
1.7%
Other values (289) 8262
69.4%
Uppercase Letter
ValueCountFrequency (%)
H 4
20.0%
A 2
10.0%
W 2
10.0%
U 2
10.0%
Y 2
10.0%
K 2
10.0%
O 2
10.0%
C 2
10.0%
N 2
10.0%
Decimal Number
ValueCountFrequency (%)
1 30
90.9%
3 2
 
6.1%
2 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 105
99.1%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11898
97.6%
Common 270
 
2.2%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 808
 
6.8%
이 586
 
4.9%
정 405
 
3.4%
박 364
 
3.1%
영 324
 
2.7%
성 251
 
2.1%
수 246
 
2.1%
종 231
 
1.9%
호 222
 
1.9%
현 199
 
1.7%
Other values (289) 8262
69.4%
Latin
ValueCountFrequency (%)
H 4
20.0%
A 2
10.0%
W 2
10.0%
U 2
10.0%
Y 2
10.0%
K 2
10.0%
O 2
10.0%
C 2
10.0%
N 2
10.0%
Common
ValueCountFrequency (%)
125
46.3%
, 105
38.9%
1 30
 
11.1%
( 3
 
1.1%
) 3
 
1.1%
3 2
 
0.7%
2 1
 
0.4%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11898
97.6%
ASCII 290
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 808
 
6.8%
이 586
 
4.9%
정 405
 
3.4%
박 364
 
3.1%
영 324
 
2.7%
성 251
 
2.1%
수 246
 
2.1%
종 231
 
1.9%
호 222
 
1.9%
현 199
 
1.7%
Other values (289) 8262
69.4%
ASCII
ValueCountFrequency (%)
125
43.1%
, 105
36.2%
1 30
 
10.3%
H 4
 
1.4%
( 3
 
1.0%
) 3
 
1.0%
3 2
 
0.7%
A 2
 
0.7%
W 2
 
0.7%
U 2
 
0.7%
Other values (7) 12
 
4.1%

전화번호
Text

MISSING 

Distinct3801
Distinct (%)90.8%
Missing378
Missing (%)8.3%
Memory size35.8 KiB
2023-12-11T07:59:07.048119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030086
Min length9

Characters and Unicode

Total characters50382
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

Unique3483 ?
Unique (%)83.2%

Sample

1st row055-715-3921
2nd row055-271-5080
3rd row055-271-8791
4th row055-286-9400
5th row055-271-9953
ValueCountFrequency (%)
055-271-1980 8
 
0.2%
055-275-7930 5
 
0.1%
055-282-8080 4
 
0.1%
055-251-8834 4
 
0.1%
055-551-9200 4
 
0.1%
055-239-4700 4
 
0.1%
055-551-6601 4
 
0.1%
055-231-4455 4
 
0.1%
055-256-2671 4
 
0.1%
055-294-9438 4
 
0.1%
Other values (3791) 4143
98.9%
2023-12-11T07:59:07.397932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 11086
22.0%
- 8375
16.6%
0 6936
13.8%
2 5847
11.6%
6 2935
 
5.8%
7 2806
 
5.6%
1 2797
 
5.6%
8 2606
 
5.2%
9 2535
 
5.0%
3 2419
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42007
83.4%
Dash Punctuation 8375
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 11086
26.4%
0 6936
16.5%
2 5847
13.9%
6 2935
 
7.0%
7 2806
 
6.7%
1 2797
 
6.7%
8 2606
 
6.2%
9 2535
 
6.0%
3 2419
 
5.8%
4 2040
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 8375
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50382
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 11086
22.0%
- 8375
16.6%
0 6936
13.8%
2 5847
11.6%
6 2935
 
5.8%
7 2806
 
5.6%
1 2797
 
5.6%
8 2606
 
5.2%
9 2535
 
5.0%
3 2419
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 11086
22.0%
- 8375
16.6%
0 6936
13.8%
2 5847
11.6%
6 2935
 
5.8%
7 2806
 
5.6%
1 2797
 
5.6%
8 2606
 
5.2%
9 2535
 
5.0%
3 2419
 
4.8%

팩스번호
Text

MISSING 

Distinct2232
Distinct (%)91.4%
Missing2124
Missing (%)46.5%
Memory size35.8 KiB
2023-12-11T07:59:07.639438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.01679
Min length1

Characters and Unicode

Total characters29345
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2052 ?
Unique (%)84.0%

Sample

1st row055-715-3923
2nd row055-286-9440
3rd row055-271-9380
4th row070-8270-4176
5th row055-272-0574
ValueCountFrequency (%)
055-271-1982 5
 
0.2%
055-295-8907 4
 
0.2%
055-256-9167 4
 
0.2%
055-296-9920 3
 
0.1%
055-297-1190 3
 
0.1%
055-296-6149 3
 
0.1%
055-296-7788 3
 
0.1%
055-231-3090 3
 
0.1%
055-250-6149 3
 
0.1%
055-292-3802 3
 
0.1%
Other values (2221) 2407
98.6%
2023-12-11T07:59:08.002124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6736
23.0%
- 4877
16.6%
0 3677
12.5%
2 3508
12.0%
9 1866
 
6.4%
3 1566
 
5.3%
7 1538
 
5.2%
1 1524
 
5.2%
6 1405
 
4.8%
4 1365
 
4.7%
Other values (2) 1283
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24467
83.4%
Dash Punctuation 4877
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6736
27.5%
0 3677
15.0%
2 3508
14.3%
9 1866
 
7.6%
3 1566
 
6.4%
7 1538
 
6.3%
1 1524
 
6.2%
6 1405
 
5.7%
4 1365
 
5.6%
8 1282
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 4877
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29345
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6736
23.0%
- 4877
16.6%
0 3677
12.5%
2 3508
12.0%
9 1866
 
6.4%
3 1566
 
5.3%
7 1538
 
5.2%
1 1524
 
5.2%
6 1405
 
4.8%
4 1365
 
4.7%
Other values (2) 1283
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29345
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6736
23.0%
- 4877
16.6%
0 3677
12.5%
2 3508
12.0%
9 1866
 
6.4%
3 1566
 
5.3%
7 1538
 
5.2%
1 1524
 
5.2%
6 1405
 
4.8%
4 1365
 
4.7%
Other values (2) 1283
 
4.4%

주소
Text

Distinct3836
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
2023-12-11T07:59:08.302722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length59
Mean length35.210907
Min length21

Characters and Unicode

Total characters160773
Distinct characters469
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

Unique3368 ?
Unique (%)73.8%

Sample

1st row경상남도 창원시 마산합포구 진북면 정현리 789-1번지
2nd row경상남도 창원시 마산합포구 진북면 부평리 342번지
3rd row경상남도 창원시 마산합포구 진북면 망곡리 83-3번지
4th row경상남도 창원시 마산합포구 진북면 산단2길 66
5th row경상남도 창원시 마산합포구 진북면 진북산업로 613, B동) (진북면)
ValueCountFrequency (%)
경상남도 4567
 
13.7%
창원시 4567
 
13.7%
성산구 1716
 
5.2%
의창구 1355
 
4.1%
팔용동 789
 
2.4%
마산회원구 735
 
2.2%
성산동 593
 
1.8%
완암로 558
 
1.7%
50 506
 
1.5%
sk테크노파크 487
 
1.5%
Other values (3294) 17426
52.3%
2023-12-11T07:59:08.736066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28827
 
17.9%
창 6280
 
3.9%
남 5822
 
3.6%
원 5657
 
3.5%
동 4843
 
3.0%
경 4713
 
2.9%
상 4613
 
2.9%
구 4602
 
2.9%
시 4595
 
2.9%
도 4592
 
2.9%
Other values (459) 86229
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96503
60.0%
Space Separator 28827
 
17.9%
Decimal Number 21137
 
13.1%
Close Punctuation 4467
 
2.8%
Open Punctuation 4465
 
2.8%
Other Punctuation 2972
 
1.8%
Uppercase Letter 1344
 
0.8%
Dash Punctuation 1032
 
0.6%
Lowercase Letter 23
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 6280
 
6.5%
남 5822
 
6.0%
원 5657
 
5.9%
동 4843
 
5.0%
경 4713
 
4.9%
상 4613
 
4.8%
구 4602
 
4.8%
시 4595
 
4.8%
도 4592
 
4.8%
산 4452
 
4.6%
Other values (400) 46334
48.0%
Uppercase Letter
ValueCountFrequency (%)
S 515
38.3%
K 506
37.6%
B 88
 
6.5%
C 38
 
2.8%
T 31
 
2.3%
A 25
 
1.9%
N 19
 
1.4%
E 18
 
1.3%
G 17
 
1.3%
M 13
 
1.0%
Other values (13) 74
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
a 5
21.7%
n 4
17.4%
c 3
13.0%
e 2
 
8.7%
g 1
 
4.3%
s 1
 
4.3%
l 1
 
4.3%
y 1
 
4.3%
r 1
 
4.3%
i 1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
1 4380
20.7%
2 2943
13.9%
3 2400
11.4%
5 2188
10.4%
0 2076
9.8%
4 1812
8.6%
6 1583
 
7.5%
7 1500
 
7.1%
8 1134
 
5.4%
9 1121
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 2922
98.3%
· 29
 
1.0%
. 12
 
0.4%
& 7
 
0.2%
/ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4466
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4464
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
28827
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1032
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96505
60.0%
Common 62901
39.1%
Latin 1367
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 6280
 
6.5%
남 5822
 
6.0%
원 5657
 
5.9%
동 4843
 
5.0%
경 4713
 
4.9%
상 4613
 
4.8%
구 4602
 
4.8%
시 4595
 
4.8%
도 4592
 
4.8%
산 4452
 
4.6%
Other values (401) 46336
48.0%
Latin
ValueCountFrequency (%)
S 515
37.7%
K 506
37.0%
B 88
 
6.4%
C 38
 
2.8%
T 31
 
2.3%
A 25
 
1.8%
N 19
 
1.4%
E 18
 
1.3%
G 17
 
1.2%
M 13
 
1.0%
Other values (26) 97
 
7.1%
Common
ValueCountFrequency (%)
28827
45.8%
) 4466
 
7.1%
( 4464
 
7.1%
1 4380
 
7.0%
2 2943
 
4.7%
, 2922
 
4.6%
3 2400
 
3.8%
5 2188
 
3.5%
0 2076
 
3.3%
4 1812
 
2.9%
Other values (12) 6423
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96499
60.0%
ASCII 64239
40.0%
None 31
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28827
44.9%
) 4466
 
7.0%
( 4464
 
6.9%
1 4380
 
6.8%
2 2943
 
4.6%
, 2922
 
4.5%
3 2400
 
3.7%
5 2188
 
3.4%
0 2076
 
3.2%
4 1812
 
2.8%
Other values (47) 7761
 
12.1%
Hangul
ValueCountFrequency (%)
창 6280
 
6.5%
남 5822
 
6.0%
원 5657
 
5.9%
동 4843
 
5.0%
경 4713
 
4.9%
상 4613
 
4.8%
구 4602
 
4.8%
시 4595
 
4.8%
도 4592
 
4.8%
산 4452
 
4.6%
Other values (397) 46330
48.0%
None
ValueCountFrequency (%)
· 29
93.5%
㈜ 2
 
6.5%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
50.0%
ㄷ 1
25.0%
ㄴ 1
25.0%

업종번호
Text

Distinct588
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
2023-12-11T07:59:09.063758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length227
Median length5
Mean length6.9526938
Min length5

Characters and Unicode

Total characters31746
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

Unique326 ?
Unique (%)7.1%

Sample

1st row28422
2nd row22299
3rd row31114
4th row25941
5th row28909
ValueCountFrequency (%)
25924 638
 
10.5%
29294 257
 
4.2%
28123 232
 
3.8%
29223 219
 
3.6%
30399 173
 
2.9%
29229 131
 
2.2%
25929 124
 
2.0%
29120 103
 
1.7%
30400 91
 
1.5%
25113 91
 
1.5%
Other values (381) 3993
66.0%
2023-12-11T07:59:09.526883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9456
29.8%
9 5440
17.1%
1 4969
15.7%
3 3095
 
9.7%
4 2097
 
6.6%
0 1763
 
5.6%
5 1708
 
5.4%
1486
 
4.7%
8 763
 
2.4%
6 602
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30260
95.3%
Space Separator 1486
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9456
31.2%
9 5440
18.0%
1 4969
16.4%
3 3095
 
10.2%
4 2097
 
6.9%
0 1763
 
5.8%
5 1708
 
5.6%
8 763
 
2.5%
6 602
 
2.0%
7 367
 
1.2%
Space Separator
ValueCountFrequency (%)
1486
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31746
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9456
29.8%
9 5440
17.1%
1 4969
15.7%
3 3095
 
9.7%
4 2097
 
6.6%
0 1763
 
5.6%
5 1708
 
5.4%
1486
 
4.7%
8 763
 
2.4%
6 602
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9456
29.8%
9 5440
17.1%
1 4969
15.7%
3 3095
 
9.7%
4 2097
 
6.6%
0 1763
 
5.6%
5 1708
 
5.4%
1486
 
4.7%
8 763
 
2.4%
6 602
 
1.9%

업종명
Text

Distinct829
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
2023-12-11T07:59:09.879154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length16.140385
Min length3

Characters and Unicode

Total characters73697
Distinct characters318
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

Unique443 ?
Unique (%)9.7%

Sample

1st row일반용 전기 조명장치 제조업
2nd row그 외 기타 플라스틱 제품 제조업
3rd row선박 구성 부분품 제조업
4th row볼트 및 너트류 제조업 외 8 종
5th row그 외 기타 전기장비 제조업
ValueCountFrequency (%)
제조업 3462
 
14.7%
외 2346
 
10.0%
및 2044
 
8.7%
종 1702
 
7.2%
기타 1018
 
4.3%
1 880
 
3.7%
그 643
 
2.7%
절삭가공 623
 
2.6%
유사처리업 623
 
2.6%
금속 512
 
2.2%
Other values (588) 9711
41.2%
2023-12-11T07:59:10.367846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19006
25.8%
업 4739
 
6.4%
제 4191
 
5.7%
조 3936
 
5.3%
기 3068
 
4.2%
외 2379
 
3.2%
및 2045
 
2.8%
종 1710
 
2.3%
공 1298
 
1.8%
품 1132
 
1.5%
Other values (308) 30193
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52483
71.2%
Space Separator 19006
 
25.8%
Decimal Number 1871
 
2.5%
Other Punctuation 305
 
0.4%
Open Punctuation 16
 
< 0.1%
Close Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 4739
 
9.0%
제 4191
 
8.0%
조 3936
 
7.5%
기 3068
 
5.8%
외 2379
 
4.5%
및 2045
 
3.9%
종 1710
 
3.3%
공 1298
 
2.5%
품 1132
 
2.2%
용 1091
 
2.1%
Other values (293) 26894
51.2%
Decimal Number
ValueCountFrequency (%)
1 1037
55.4%
2 287
 
15.3%
3 244
 
13.0%
4 116
 
6.2%
5 64
 
3.4%
6 44
 
2.4%
7 38
 
2.0%
8 19
 
1.0%
0 16
 
0.9%
9 6
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 298
97.7%
. 7
 
2.3%
Space Separator
ValueCountFrequency (%)
19006
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52483
71.2%
Common 21214
28.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 4739
 
9.0%
제 4191
 
8.0%
조 3936
 
7.5%
기 3068
 
5.8%
외 2379
 
4.5%
및 2045
 
3.9%
종 1710
 
3.3%
공 1298
 
2.5%
품 1132
 
2.2%
용 1091
 
2.1%
Other values (293) 26894
51.2%
Common
ValueCountFrequency (%)
19006
89.6%
1 1037
 
4.9%
, 298
 
1.4%
2 287
 
1.4%
3 244
 
1.2%
4 116
 
0.5%
5 64
 
0.3%
6 44
 
0.2%
7 38
 
0.2%
8 19
 
0.1%
Other values (5) 61
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52470
71.2%
ASCII 21214
28.8%
Compat Jamo 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19006
89.6%
1 1037
 
4.9%
, 298
 
1.4%
2 287
 
1.4%
3 244
 
1.2%
4 116
 
0.5%
5 64
 
0.3%
6 44
 
0.2%
7 38
 
0.2%
8 19
 
0.1%
Other values (5) 61
 
0.3%
Hangul
ValueCountFrequency (%)
업 4739
 
9.0%
제 4191
 
8.0%
조 3936
 
7.5%
기 3068
 
5.8%
외 2379
 
4.5%
및 2045
 
3.9%
종 1710
 
3.3%
공 1298
 
2.5%
품 1132
 
2.2%
용 1091
 
2.1%
Other values (292) 26881
51.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
100.0%

단지명
Categorical

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
창원국가산업단지
1660 
<NA>
1570 
966 
진해마천지방산업단지
 
131
창원일반산업단지
 
84
Other values (11)
 
155

Length

Max length14
Median length12
Mean length5.2855891
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row
2nd row
3rd row
4th row마산진북일반산업단지
5th row

Common Values

ValueCountFrequency (%)
창원국가산업단지 1660
36.4%
<NA> 1570
34.4%
966
21.2%
진해마천지방산업단지 131
 
2.9%
창원일반산업단지 84
 
1.8%
마산진북일반산업단지 51
 
1.1%
진해남양지방산업단지 43
 
0.9%
창원마산진북농공단지 19
 
0.4%
부산진해경제자유구역남문지구 14
 
0.3%
진해죽곡일반지방산업단지 10
 
0.2%
Other values (6) 18
 
0.4%

Length

2023-12-11T07:59:10.543796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원국가산업단지 1660
46.1%
na 1570
43.6%
진해마천지방산업단지 131
 
3.6%
창원일반산업단지 84
 
2.3%
마산진북일반산업단지 51
 
1.4%
진해남양지방산업단지 43
 
1.2%
창원마산진북농공단지 19
 
0.5%
부산진해경제자유구역남문지구 14
 
0.4%
진해죽곡일반지방산업단지 10
 
0.3%
창원수곡일반산업단지 8
 
0.2%
Other values (5) 10
 
0.3%

데이터제공일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
2018-06-30
4566 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-06-30
2nd row2018-06-30
3rd row2018-06-30
4th row2018-06-30
5th row2018-06-30

Common Values

ValueCountFrequency (%)
2018-06-30 4566
100.0%

Length

2023-12-11T07:59:10.690027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:59:10.782742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-06-30 4566
100.0%

Missing values

2023-12-11T07:59:04.785843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:59:04.940717image/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.
2023-12-11T07:59:05.070943image/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

업체명대표자전화번호팩스번호주소업종번호업종명단지명데이터제공일자
0(유)반디엘이디홍종대055-715-3921055-715-3923경상남도 창원시 마산합포구 진북면 정현리 789-1번지28422일반용 전기 조명장치 제조업2018-06-30
1(유)부길하창도055-271-5080<NA>경상남도 창원시 마산합포구 진북면 부평리 342번지22299그 외 기타 플라스틱 제품 제조업2018-06-30
2(유)송원산업김윤도055-271-8791<NA>경상남도 창원시 마산합포구 진북면 망곡리 83-3번지31114선박 구성 부분품 제조업2018-06-30
3(유)현대기공양희태055-286-9400055-286-9440경상남도 창원시 마산합포구 진북면 산단2길 6625941볼트 및 너트류 제조업 외 8 종마산진북일반산업단지2018-06-30
4(주)ACE전자홍상철055-271-9953055-271-9380경상남도 창원시 마산합포구 진북면 진북산업로 613, B동) (진북면)28909그 외 기타 전기장비 제조업2018-06-30
5(주)가속임영섭070-4888-4171070-8270-4176경상남도 창원시 마산합포구 진북면 산단2길 46-3925113육상 금속 골조 구조재 제조업 외 3 종마산진북일반산업단지2018-06-30
6(주)강민강군호055-1599-1007055-272-0574경상남도 창원시 마산합포구 진동면 입곡길 98-34 (주식회사강민)10309기타 과실ㆍ채소 가공 및 저장 처리업2018-06-30
7(주)건화이수우055-240-9022055-240-9299경상남도 창원시 마산합포구 진북면 산단1길 9929241건설 및 채광용 기계장비 제조업마산진북일반산업단지2018-06-30
8(주)건화 창원공장황갑기055-240-9000055-240-9299경상남도 창원시 마산합포구 진북면 산단1길 12929241건설 및 채광용 기계장비 제조업마산진북일반산업단지2018-06-30
9(주)경동기계정민호055-587-0313055-587-0312경상남도 창원시 마산합포구 진북면 대티리 514-1번지 외 3필지25913자동차용 금속 압형제품 제조업 외 3 종2018-06-30
업체명대표자전화번호팩스번호주소업종번호업종명단지명데이터제공일자
4556한화첨단소재(주)이선석055-540-3034055-540-3114경상남도 창원시 진해구 장천동 530번지 외 7필지 외 7필지20119 22212 22213석탄화학계 화합물 및 기타 기초 유기 화학물질 제조업 외 2 종2018-06-30
4557한황산업(주)박준흠055-548-0700055-551-6780경상남도 창원시 진해구 남의로43번길 28 (남양동, 한황산업(주))30399 30391 30392 30400그 외 자동차용 신품 부품 제조업 외 3 종진해마천지방산업단지2018-06-30
4558한황산업(주)박준흠055-546-6781<NA>경상남도 창원시 진해구 남영로527번길 87 (남양동)25999 25995그 외 기타 분류 안된 금속 가공 제품 제조업 외 1 종진해남양지방산업단지2018-06-30
4559호진산업(주)이수용055-551-6767055-551-6770경상남도 창원시 진해구 남영로552번길 31 (남양동)23999 19229 23991 23995그 외 기타 분류 안된 비금속 광물제품 제조업 외 3 종진해마천지방산업단지2018-06-30
4560화성금속김두영055-551-9123055-551-9128경상남도 창원시 진해구 남의로43번길 13 (남양동)24311선철주물 주조업진해마천지방산업단지2018-06-30
4561화성스텐남응식055-543-0495055-543-0498경상남도 창원시 진해구 안골로 75 (안골동)24290기타 1차 비철금속 제조업2018-06-30
4562화신산업(주)조준택055-543-4107055-543-4109경상남도 창원시 진해구 남영로574번길 28 (남양동)24199그 외 기타 1차 철강 제조업진해마천지방산업단지2018-06-30
4563화영수지김종천055-547-2401055-547-2462경상남도 창원시 진해구 남의로21번길 79 (남양동)22251 22259폴리스티렌 발포 성형제품 제조업 외 1 종진해마천지방산업단지2018-06-30
4564환인금속심환석055-547-6235055-547-6237경상남도 창원시 진해구 남의로 33 (남양동, 화인금속)24311선철주물 주조업진해마천지방산업단지2018-06-30
4565환인금속공업(주)이인자055-547-6235055-547-6237경상남도 창원시 진해구 남의로 33 (남양동, 화인금속)24311선철주물 주조업진해마천지방산업단지2018-06-30

Duplicate rows

Most frequently occurring

업체명대표자전화번호팩스번호주소업종번호업종명단지명데이터제공일자# duplicates
0(주)가현신동국055-295-3261055-295-3260경상남도 창원시 의창구 평산로38번길 13 (팔용동)29241건설 및 채광용 기계장비 제조업 외 1 종창원국가산업단지2018-06-302
1(주)비티엑스코리아 창원공장박성준055-281-4301<NA>경상남도 창원시 성산구 웅남로 760 (성주동)30399그 외 자동차용 신품 부품 제조업 외 3 종창원국가산업단지2018-06-302
2진성금속양진희055-552-2208055-552-0208경상남도 창원시 진해구 남영로522번길 21 (남양동, 쌍화흥조조창)24321알루미늄주물 주조업진해마천지방산업단지2018-06-302