Overview

Dataset statistics

Number of variables8
Number of observations547
Missing cells227
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.3 KiB
Average record size in memory64.2 B

Variable types

Text7
DateTime1

Dataset

Description충청남도 공주시 제조업체현황에 대한 데이터로 (회사명, 공장대표주소,업종명,대표자명 ) 등의 항목을 제공합니다,
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=419&beforeMenuCd=DOM_000000201001001000&publicdatapk=15034909

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 63 (11.5%) missing valuesMissing
팩스번호 has 164 (30.0%) missing valuesMissing

Reproduction

Analysis started2024-01-09 22:55:59.265679
Analysis finished2024-01-09 22:56:00.353635
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct535
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-01-10T07:56:00.541699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length7.606947
Min length2

Characters and Unicode

Total characters4161
Distinct characters377
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

Unique523 ?
Unique (%)95.6%

Sample

1st row(사)한국지체장애인협회 공주사업소
2nd row(재)한국자카드섬유연구소
3rd row(주) E.N.BEST 치과산업
4th row(주) 우먼패키지
5th row(주) 피엔제이 생활건강
ValueCountFrequency (%)
주식회사 33
 
5.1%
농업회사법인 8
 
1.2%
제2공장 7
 
1.1%
공주 5
 
0.8%
주 5
 
0.8%
제3공장 4
 
0.6%
동원시스템즈(주 4
 
0.6%
주)한엘 4
 
0.6%
주)자연과환경 3
 
0.5%
동아기계제작소 3
 
0.5%
Other values (539) 569
88.2%
2024-01-10T07:56:00.907959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 369
 
8.9%
) 303
 
7.3%
( 303
 
7.3%
101
 
2.4%
이 92
 
2.2%
업 92
 
2.2%
사 90
 
2.2%
공 89
 
2.1%
회 69
 
1.7%
산 67
 
1.6%
Other values (367) 2586
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3351
80.5%
Close Punctuation 303
 
7.3%
Open Punctuation 303
 
7.3%
Space Separator 101
 
2.4%
Uppercase Letter 53
 
1.3%
Decimal Number 29
 
0.7%
Lowercase Letter 10
 
0.2%
Other Punctuation 8
 
0.2%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 369
 
11.0%
이 92
 
2.7%
업 92
 
2.7%
사 90
 
2.7%
공 89
 
2.7%
회 69
 
2.1%
산 67
 
2.0%
스 64
 
1.9%
식 56
 
1.7%
인 56
 
1.7%
Other values (324) 2307
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 9
17.0%
K 5
 
9.4%
G 4
 
7.5%
O 4
 
7.5%
D 3
 
5.7%
E 3
 
5.7%
T 3
 
5.7%
N 3
 
5.7%
B 3
 
5.7%
J 2
 
3.8%
Other values (9) 14
26.4%
Lowercase Letter
ValueCountFrequency (%)
s 2
20.0%
r 1
10.0%
u 1
10.0%
n 1
10.0%
h 1
10.0%
y 1
10.0%
t 1
10.0%
e 1
10.0%
m 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 14
48.3%
3 6
20.7%
1 5
 
17.2%
4 2
 
6.9%
6 1
 
3.4%
7 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
& 2
25.0%
· 1
 
12.5%
' 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 303
100.0%
Open Punctuation
ValueCountFrequency (%)
( 303
100.0%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3352
80.6%
Common 746
 
17.9%
Latin 63
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 369
 
11.0%
이 92
 
2.7%
업 92
 
2.7%
사 90
 
2.7%
공 89
 
2.7%
회 69
 
2.1%
산 67
 
2.0%
스 64
 
1.9%
식 56
 
1.7%
인 56
 
1.7%
Other values (325) 2308
68.9%
Latin
ValueCountFrequency (%)
S 9
 
14.3%
K 5
 
7.9%
G 4
 
6.3%
O 4
 
6.3%
D 3
 
4.8%
E 3
 
4.8%
T 3
 
4.8%
N 3
 
4.8%
B 3
 
4.8%
J 2
 
3.2%
Other values (18) 24
38.1%
Common
ValueCountFrequency (%)
) 303
40.6%
( 303
40.6%
101
 
13.5%
2 14
 
1.9%
3 6
 
0.8%
1 5
 
0.7%
. 4
 
0.5%
- 2
 
0.3%
4 2
 
0.3%
& 2
 
0.3%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3351
80.5%
ASCII 808
 
19.4%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 369
 
11.0%
이 92
 
2.7%
업 92
 
2.7%
사 90
 
2.7%
공 89
 
2.7%
회 69
 
2.1%
산 67
 
2.0%
스 64
 
1.9%
식 56
 
1.7%
인 56
 
1.7%
Other values (324) 2307
68.8%
ASCII
ValueCountFrequency (%)
) 303
37.5%
( 303
37.5%
101
 
12.5%
2 14
 
1.7%
S 9
 
1.1%
3 6
 
0.7%
1 5
 
0.6%
K 5
 
0.6%
G 4
 
0.5%
. 4
 
0.5%
Other values (31) 54
 
6.7%
None
ValueCountFrequency (%)
· 1
50.0%
㈜ 1
50.0%

전화번호
Text

MISSING 

Distinct446
Distinct (%)92.1%
Missing63
Missing (%)11.5%
Memory size4.4 KiB
2024-01-10T07:56:01.132663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012397
Min length11

Characters and Unicode

Total characters5814
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

Unique420 ?
Unique (%)86.8%

Sample

1st row041-841-6715
2nd row041-841-9156
3rd row041-856-8890
4th row041-858-9297
5th row041-853-1995
ValueCountFrequency (%)
041-852-1636 8
 
1.7%
041-000-0000 6
 
1.2%
041-841-1116 3
 
0.6%
041-881-5300 3
 
0.6%
041-841-3122 2
 
0.4%
041-852-3355 2
 
0.4%
041-852-0977 2
 
0.4%
041-841-8945 2
 
0.4%
041-853-8511 2
 
0.4%
041-856-2390 2
 
0.4%
Other values (436) 452
93.4%
2024-01-10T07:56:01.470162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 968
16.6%
0 849
14.6%
1 804
13.8%
4 751
12.9%
8 660
11.4%
5 500
8.6%
2 344
 
5.9%
3 288
 
5.0%
7 242
 
4.2%
6 235
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4846
83.4%
Dash Punctuation 968
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 849
17.5%
1 804
16.6%
4 751
15.5%
8 660
13.6%
5 500
10.3%
2 344
7.1%
3 288
 
5.9%
7 242
 
5.0%
6 235
 
4.8%
9 173
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 968
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5814
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 968
16.6%
0 849
14.6%
1 804
13.8%
4 751
12.9%
8 660
11.4%
5 500
8.6%
2 344
 
5.9%
3 288
 
5.0%
7 242
 
4.2%
6 235
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 968
16.6%
0 849
14.6%
1 804
13.8%
4 751
12.9%
8 660
11.4%
5 500
8.6%
2 344
 
5.9%
3 288
 
5.0%
7 242
 
4.2%
6 235
 
4.0%

팩스번호
Text

MISSING 

Distinct288
Distinct (%)75.2%
Missing164
Missing (%)30.0%
Memory size4.4 KiB
2024-01-10T07:56:01.749529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.994778
Min length11

Characters and Unicode

Total characters4594
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

Unique268 ?
Unique (%)70.0%

Sample

1st row041-841-6713
2nd row041-841-9160
3rd row041-858-9298
4th row041-853-1994
5th row044-866-2217
ValueCountFrequency (%)
041-000-0000 64
 
16.7%
041-852-1639 7
 
1.8%
02-000-0000 5
 
1.3%
070-7500-2683 5
 
1.3%
041-881-9608 4
 
1.0%
041-858-5688 2
 
0.5%
041-858-2004 2
 
0.5%
044-555-1179 2
 
0.5%
041-841-3119 2
 
0.5%
041-841-8773 2
 
0.5%
Other values (278) 288
75.2%
2024-01-10T07:56:02.168222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1050
22.9%
- 766
16.7%
1 530
11.5%
4 521
11.3%
8 441
9.6%
5 363
 
7.9%
2 216
 
4.7%
3 210
 
4.6%
7 183
 
4.0%
6 175
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3828
83.3%
Dash Punctuation 766
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1050
27.4%
1 530
13.8%
4 521
13.6%
8 441
11.5%
5 363
 
9.5%
2 216
 
5.6%
3 210
 
5.5%
7 183
 
4.8%
6 175
 
4.6%
9 139
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 766
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4594
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1050
22.9%
- 766
16.7%
1 530
11.5%
4 521
11.3%
8 441
9.6%
5 363
 
7.9%
2 216
 
4.7%
3 210
 
4.6%
7 183
 
4.0%
6 175
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1050
22.9%
- 766
16.7%
1 530
11.5%
4 521
11.3%
8 441
9.6%
5 363
 
7.9%
2 216
 
4.7%
3 210
 
4.6%
7 183
 
4.0%
6 175
 
3.8%

공장대표주소
Text

Distinct509
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-01-10T07:56:02.446887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length26.053016
Min length18

Characters and Unicode

Total characters14251
Distinct characters251
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

Unique479 ?
Unique (%)87.6%

Sample

1st row충청남도 공주시 유구읍 남방1길 28
2nd row충청남도 공주시 유구읍 유구외곽로 248-26 (총 5 필지) (총 5 필지)
3rd row충청남도 공주시 반포면 정광터1길 82-6
4th row충청남도 공주시 의당면 돌모루1길 37-5 ((주)우먼패키지)
5th row충청남도 공주시 검상동 729-1
ValueCountFrequency (%)
충청남도 548
 
17.3%
공주시 548
 
17.3%
유구읍 103
 
3.3%
필지 81
 
2.6%
총 81
 
2.6%
정안면 60
 
1.9%
탄천면 51
 
1.6%
우성면 48
 
1.5%
외 46
 
1.5%
검상동 39
 
1.2%
Other values (743) 1560
49.3%
2024-01-10T07:56:03.125534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2715
19.1%
공 673
 
4.7%
주 590
 
4.1%
남 557
 
3.9%
도 557
 
3.9%
충 551
 
3.9%
시 550
 
3.9%
청 549
 
3.9%
1 415
 
2.9%
2 376
 
2.6%
Other values (241) 6718
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8556
60.0%
Space Separator 2715
 
19.1%
Decimal Number 2100
 
14.7%
Dash Punctuation 290
 
2.0%
Close Punctuation 258
 
1.8%
Open Punctuation 258
 
1.8%
Other Punctuation 67
 
0.5%
Uppercase Letter 5
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 673
 
7.9%
주 590
 
6.9%
남 557
 
6.5%
도 557
 
6.5%
충 551
 
6.4%
시 550
 
6.4%
청 549
 
6.4%
길 306
 
3.6%
면 305
 
3.6%
지 288
 
3.4%
Other values (220) 3630
42.4%
Decimal Number
ValueCountFrequency (%)
1 415
19.8%
2 376
17.9%
3 276
13.1%
4 205
9.8%
6 190
9.0%
5 189
9.0%
7 136
 
6.5%
8 121
 
5.8%
0 105
 
5.0%
9 87
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
N 1
20.0%
E 1
20.0%
A 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
2715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 258
100.0%
Other Punctuation
ValueCountFrequency (%)
, 67
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8558
60.1%
Common 5688
39.9%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 673
 
7.9%
주 590
 
6.9%
남 557
 
6.5%
도 557
 
6.5%
충 551
 
6.4%
시 550
 
6.4%
청 549
 
6.4%
길 306
 
3.6%
면 305
 
3.6%
지 288
 
3.4%
Other values (221) 3632
42.4%
Common
ValueCountFrequency (%)
2715
47.7%
1 415
 
7.3%
2 376
 
6.6%
- 290
 
5.1%
3 276
 
4.9%
) 258
 
4.5%
( 258
 
4.5%
4 205
 
3.6%
6 190
 
3.3%
5 189
 
3.3%
Other values (5) 516
 
9.1%
Latin
ValueCountFrequency (%)
T 1
20.0%
N 1
20.0%
E 1
20.0%
A 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8556
60.0%
ASCII 5693
39.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2715
47.7%
1 415
 
7.3%
2 376
 
6.6%
- 290
 
5.1%
3 276
 
4.8%
) 258
 
4.5%
( 258
 
4.5%
4 205
 
3.6%
6 190
 
3.3%
5 189
 
3.3%
Other values (10) 521
 
9.2%
Hangul
ValueCountFrequency (%)
공 673
 
7.9%
주 590
 
6.9%
남 557
 
6.5%
도 557
 
6.5%
충 551
 
6.4%
시 550
 
6.4%
청 549
 
6.4%
길 306
 
3.6%
면 305
 
3.6%
지 288
 
3.4%
Other values (220) 3630
42.4%
None
ValueCountFrequency (%)
㈜ 2
100.0%

업종명
Text

Distinct257
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-01-10T07:56:03.437254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length18.334552
Min length6

Characters and Unicode

Total characters10029
Distinct characters255
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

Unique166 ?
Unique (%)30.3%

Sample

1st row속도계 및 적산계기 제조업 외 2 종
2nd row직물, 편조원단 및 의복류 염색 가공업
3rd row의료용품 및 기타 의약 관련제품 제조업
4th row골판지 상자 및 가공제품 제조업 외 2 종
5th row치약, 비누 및 기타 세제 제조업
ValueCountFrequency (%)
제조업 426
 
12.9%
외 296
 
9.0%
및 271
 
8.2%
종 227
 
6.9%
기타 211
 
6.4%
1 140
 
4.2%
직물 91
 
2.8%
직조업 71
 
2.2%
그 69
 
2.1%
특수 44
 
1.3%
Other values (339) 1449
44.0%
2024-01-10T07:56:03.884283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2748
27.4%
제 610
 
6.1%
업 560
 
5.6%
조 554
 
5.5%
기 351
 
3.5%
외 305
 
3.0%
및 271
 
2.7%
종 235
 
2.3%
타 231
 
2.3%
직 199
 
2.0%
Other values (245) 3965
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6948
69.3%
Space Separator 2748
 
27.4%
Decimal Number 228
 
2.3%
Other Punctuation 93
 
0.9%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 610
 
8.8%
업 560
 
8.1%
조 554
 
8.0%
기 351
 
5.1%
외 305
 
4.4%
및 271
 
3.9%
종 235
 
3.4%
타 231
 
3.3%
직 199
 
2.9%
물 181
 
2.6%
Other values (230) 3451
49.7%
Decimal Number
ValueCountFrequency (%)
1 141
61.8%
2 42
 
18.4%
3 22
 
9.6%
4 11
 
4.8%
5 5
 
2.2%
6 3
 
1.3%
8 2
 
0.9%
0 1
 
0.4%
9 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 90
96.8%
. 2
 
2.2%
· 1
 
1.1%
Space Separator
ValueCountFrequency (%)
2748
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6948
69.3%
Common 3081
30.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 610
 
8.8%
업 560
 
8.1%
조 554
 
8.0%
기 351
 
5.1%
외 305
 
4.4%
및 271
 
3.9%
종 235
 
3.4%
타 231
 
3.3%
직 199
 
2.9%
물 181
 
2.6%
Other values (230) 3451
49.7%
Common
ValueCountFrequency (%)
2748
89.2%
1 141
 
4.6%
, 90
 
2.9%
2 42
 
1.4%
3 22
 
0.7%
4 11
 
0.4%
) 6
 
0.2%
( 6
 
0.2%
5 5
 
0.2%
6 3
 
0.1%
Other values (5) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6932
69.1%
ASCII 3080
30.7%
Compat Jamo 16
 
0.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2748
89.2%
1 141
 
4.6%
, 90
 
2.9%
2 42
 
1.4%
3 22
 
0.7%
4 11
 
0.4%
) 6
 
0.2%
( 6
 
0.2%
5 5
 
0.2%
6 3
 
0.1%
Other values (4) 6
 
0.2%
Hangul
ValueCountFrequency (%)
제 610
 
8.8%
업 560
 
8.1%
조 554
 
8.0%
기 351
 
5.1%
외 305
 
4.4%
및 271
 
3.9%
종 235
 
3.4%
타 231
 
3.3%
직 199
 
2.9%
물 181
 
2.6%
Other values (229) 3435
49.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 16
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

생산품
Text

Distinct482
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-01-10T07:56:04.184832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length34
Mean length8.8921389
Min length1

Characters and Unicode

Total characters4864
Distinct characters505
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique455 ?
Unique (%)83.2%

Sample

1st row배전반,자동제어반 외
2nd row쇼파,커텐,한복지,커버지
3rd row치과용 보철합금
4th row골판지상자,CAP, 나이프스푼,포크, 가드레일 커버 등
5th row섬유유연제,주방/세탁세제,변기/씽크세정제,락스
ValueCountFrequency (%)
및 18
 
2.0%
레미콘 13
 
1.4%
커텐지 12
 
1.3%
등 12
 
1.3%
외 12
 
1.3%
한복지 8
 
0.9%
플라스틱 8
 
0.9%
양단 7
 
0.8%
벽돌 5
 
0.6%
아스콘 5
 
0.6%
Other values (721) 805
89.0%
2024-01-10T07:56:04.635970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
363
 
7.5%
, 322
 
6.6%
기 124
 
2.5%
스 84
 
1.7%
제 79
 
1.6%
용 75
 
1.5%
장 65
 
1.3%
지 63
 
1.3%
품 59
 
1.2%
이 59
 
1.2%
Other values (495) 3571
73.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3882
79.8%
Space Separator 363
 
7.5%
Other Punctuation 349
 
7.2%
Uppercase Letter 125
 
2.6%
Lowercase Letter 69
 
1.4%
Open Punctuation 31
 
0.6%
Close Punctuation 31
 
0.6%
Decimal Number 10
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 124
 
3.2%
스 84
 
2.2%
제 79
 
2.0%
용 75
 
1.9%
장 65
 
1.7%
지 63
 
1.6%
품 59
 
1.5%
이 59
 
1.5%
트 54
 
1.4%
수 54
 
1.4%
Other values (444) 3166
81.6%
Uppercase Letter
ValueCountFrequency (%)
C 20
16.0%
P 13
10.4%
E 11
8.8%
A 10
 
8.0%
S 9
 
7.2%
D 8
 
6.4%
T 8
 
6.4%
L 8
 
6.4%
M 6
 
4.8%
V 6
 
4.8%
Other values (10) 26
20.8%
Lowercase Letter
ValueCountFrequency (%)
i 9
13.0%
l 8
11.6%
o 7
10.1%
r 6
8.7%
e 5
 
7.2%
p 5
 
7.2%
s 4
 
5.8%
a 4
 
5.8%
u 4
 
5.8%
n 3
 
4.3%
Other values (8) 14
20.3%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 2
20.0%
5 2
20.0%
0 1
 
10.0%
3 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 322
92.3%
/ 16
 
4.6%
. 9
 
2.6%
% 2
 
0.6%
Space Separator
ValueCountFrequency (%)
363
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3881
79.8%
Common 788
 
16.2%
Latin 194
 
4.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 124
 
3.2%
스 84
 
2.2%
제 79
 
2.0%
용 75
 
1.9%
장 65
 
1.7%
지 63
 
1.6%
품 59
 
1.5%
이 59
 
1.5%
트 54
 
1.4%
수 54
 
1.4%
Other values (443) 3165
81.6%
Latin
ValueCountFrequency (%)
C 20
 
10.3%
P 13
 
6.7%
E 11
 
5.7%
A 10
 
5.2%
i 9
 
4.6%
S 9
 
4.6%
D 8
 
4.1%
T 8
 
4.1%
L 8
 
4.1%
l 8
 
4.1%
Other values (28) 90
46.4%
Common
ValueCountFrequency (%)
363
46.1%
, 322
40.9%
( 31
 
3.9%
) 31
 
3.9%
/ 16
 
2.0%
. 9
 
1.1%
2 4
 
0.5%
- 4
 
0.5%
1 2
 
0.3%
% 2
 
0.3%
Other values (3) 4
 
0.5%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3880
79.8%
ASCII 982
 
20.2%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
363
37.0%
, 322
32.8%
( 31
 
3.2%
) 31
 
3.2%
C 20
 
2.0%
/ 16
 
1.6%
P 13
 
1.3%
E 11
 
1.1%
A 10
 
1.0%
i 9
 
0.9%
Other values (41) 156
15.9%
Hangul
ValueCountFrequency (%)
기 124
 
3.2%
스 84
 
2.2%
제 79
 
2.0%
용 75
 
1.9%
장 65
 
1.7%
지 63
 
1.6%
품 59
 
1.5%
이 59
 
1.5%
트 54
 
1.4%
수 54
 
1.4%
Other values (442) 3164
81.5%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%
CJK
ValueCountFrequency (%)
外 1
100.0%

대표자명
Text

Distinct497
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-01-10T07:56:04.888056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.2815356
Min length2

Characters and Unicode

Total characters1795
Distinct characters187
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique460 ?
Unique (%)84.1%

Sample

1st row김광환
2nd row전성기
3rd row이신용
4th row김숙자
5th row최순애
ValueCountFrequency (%)
정지완 8
 
1.4%
강병창 6
 
1.0%
배근택 4
 
0.7%
강원중 4
 
0.7%
조점근 4
 
0.7%
양창학 4
 
0.7%
김홍만 3
 
0.5%
김광수 3
 
0.5%
이병용 3
 
0.5%
정해정 2
 
0.3%
Other values (503) 534
92.9%
2024-01-10T07:56:05.273147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 108
 
6.0%
이 84
 
4.7%
정 65
 
3.6%
영 52
 
2.9%
석 35
 
1.9%
박 30
 
1.7%
28
 
1.6%
창 28
 
1.6%
상 28
 
1.6%
, 27
 
1.5%
Other values (177) 1310
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1736
96.7%
Space Separator 28
 
1.6%
Other Punctuation 27
 
1.5%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 108
 
6.2%
이 84
 
4.8%
정 65
 
3.7%
영 52
 
3.0%
석 35
 
2.0%
박 30
 
1.7%
창 28
 
1.6%
상 28
 
1.6%
윤 27
 
1.6%
수 26
 
1.5%
Other values (174) 1253
72.2%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1736
96.7%
Common 59
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 108
 
6.2%
이 84
 
4.8%
정 65
 
3.7%
영 52
 
3.0%
석 35
 
2.0%
박 30
 
1.7%
창 28
 
1.6%
상 28
 
1.6%
윤 27
 
1.6%
수 26
 
1.5%
Other values (174) 1253
72.2%
Common
ValueCountFrequency (%)
28
47.5%
, 27
45.8%
1 4
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1736
96.7%
ASCII 59
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 108
 
6.2%
이 84
 
4.8%
정 65
 
3.7%
영 52
 
3.0%
석 35
 
2.0%
박 30
 
1.7%
창 28
 
1.6%
상 28
 
1.6%
윤 27
 
1.6%
수 26
 
1.5%
Other values (174) 1253
72.2%
ASCII
ValueCountFrequency (%)
28
47.5%
, 27
45.8%
1 4
 
6.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2019-02-19 00:00:00
Maximum2019-02-19 00:00:00
2024-01-10T07:56:05.380421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:56:05.466041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-01-10T07:56:00.094351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:56:00.213588image/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.
2024-01-10T07:56:00.302863image/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

회사명전화번호팩스번호공장대표주소업종명생산품대표자명데이터기준일
0(사)한국지체장애인협회 공주사업소041-841-6715041-841-6713충청남도 공주시 유구읍 남방1길 28속도계 및 적산계기 제조업 외 2 종배전반,자동제어반 외김광환2019-02-19
1(재)한국자카드섬유연구소041-841-9156041-841-9160충청남도 공주시 유구읍 유구외곽로 248-26 (총 5 필지) (총 5 필지)직물, 편조원단 및 의복류 염색 가공업쇼파,커텐,한복지,커버지전성기2019-02-19
2(주) E.N.BEST 치과산업041-856-8890<NA>충청남도 공주시 반포면 정광터1길 82-6의료용품 및 기타 의약 관련제품 제조업치과용 보철합금이신용2019-02-19
3(주) 우먼패키지041-858-9297041-858-9298충청남도 공주시 의당면 돌모루1길 37-5 ((주)우먼패키지)골판지 상자 및 가공제품 제조업 외 2 종골판지상자,CAP, 나이프스푼,포크, 가드레일 커버 등김숙자2019-02-19
4(주) 피엔제이 생활건강041-853-1995041-853-1994충청남도 공주시 검상동 729-1치약, 비누 및 기타 세제 제조업섬유유연제,주방/세탁세제,변기/씽크세정제,락스최순애2019-02-19
5(주) 해피브릿지 공주공장044-866-2212044-866-2217충청남도 공주시 월미농공단지길 68 (월미동)육류 기타 가공 및 저장처리업 (가금류 제외) 외 3 종돈가스,양념육,햄버거스테이크,소스,냉면육수,국수반죽송인창2019-02-19
6(주)K론난연<NA><NA>충청남도 공주시 유구읍 음실길 39특수 직물 및 기타 직물 직조업 외 1 종갑사,한복지강명자2019-02-19
7(주)강산041-857-8803041-857-8806충청남도 공주시 계룡면 영규대사로 565그 외 기타 분류 안된 비금속 광물제품 제조업흡음 내장재봉덕근2019-02-19
8(주)경덕산업041-853-1091041-853-1091충청남도 공주시 우성면 보적동길 8-24그 외 기타 의료용 기기 제조업1회용 의료기기진해룡2019-02-19
9(주)고려산업041-853-3404041-853-6144충청남도 공주시 월미농공단지길 12-10 (월미동)액체 여과기 제조업 외 6 종빗물이용시설, 상하수도처리기계 기구 외임상준2019-02-19
회사명전화번호팩스번호공장대표주소업종명생산품대표자명데이터기준일
537형제금속041-853-9614041-854-9614충청남도 공주시 계룡면 구부내로 527탭, 밸브 및 유사장치 제조업청동밸브조봉안2019-02-19
538형제직물041-857-3626<NA>충청남도 공주시 이인면 검바위로 736합성섬유 제조업나이론,양단박노철2019-02-19
539형제직물041-852-8005<NA>충청남도 공주시 원골길 25-13 (주미동)화학섬유직물 직조업양단박노철2019-02-19
540홍삼단 주식회사070-460-358202-888-4802충청남도 공주시 정안면 차령로 3520건강기능식품 제조업홍삼단박준교2019-02-19
541화일실업(주)041-852-6068041-855-0987충청남도 공주시 공단길 5 (검상동)그 외 기타 분류 안된 섬유제품 제조업면직물박용말2019-02-19
542황금직물041-841-3122<NA>충청남도 공주시 유구읍 시장길 46화학섬유직물 직조업색동김태만2019-02-19
543황토만세041-856-5850041-000-0000충청남도 공주시 이인면 고분티로 427기타 구조용 금속제품 제조업황토판넬신순호2019-02-19
544효성직물041-841-2982<NA>충청남도 공주시 유구읍 한절이길 9그 외 기타 분류 안된 섬유제품 제조업커텐지김인효2019-02-19
545후래쉬애그푸드(주)041-855-0607<NA>충청남도 공주시 탄천면 금백로 1109 ((주)골드에그) (총 5 필지)그 외 기타 식료품 제조업깐 메추리알, 깐 계란손동기2019-02-19
546훽트(주)041-852-1636041-852-1639충청남도 공주시 공단길 34-11 (검상동)그 외 기타 분류 안된 화학제품 제조업 외 1 종풀루오르화수소이건주2019-02-19