Overview

Dataset statistics

Number of variables7
Number of observations3227
Missing cells543
Missing cells (%)2.4%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory176.6 KiB
Average record size in memory56.0 B

Variable types

Categorical1
Text5
DateTime1

Dataset

Description울산광역시에 위치한 공장으로 등록된 제조업 현황(제조 업체명, 대표자, 전화번호, 업종명, 소재지) 정보를 제공하고 있음.
Author울산광역시
URLhttps://www.data.go.kr/data/15068264/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
전화번호 has 543 (16.8%) missing valuesMissing

Reproduction

Analysis started2024-03-14 12:24:31.673154
Analysis finished2024-03-14 12:24:33.699479
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
울주군
1359 
북구
921 
남구
406 
동구
366 
중구
175 

Length

Max length3
Median length2
Mean length2.4211342
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울주군 1359
42.1%
북구 921
28.5%
남구 406
 
12.6%
동구 366
 
11.3%
중구 175
 
5.4%

Length

2024-03-14T21:24:33.920837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:24:34.263088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울주군 1359
42.1%
북구 921
28.5%
남구 406
 
12.6%
동구 366
 
11.3%
중구 175
 
5.4%
Distinct3142
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
2024-03-14T21:24:35.148133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length6.5193678
Min length2

Characters and Unicode

Total characters21038
Distinct characters604
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

Unique3059 ?
Unique (%)94.8%

Sample

1st row신라푸드
2nd row삼오수제갈비
3rd row하나로식품
4th row삼화어묵
5th row참치표 부산어묵
ValueCountFrequency (%)
주식회사 123
 
3.3%
2공장 26
 
0.7%
울산공장 22
 
0.6%
1공장 14
 
0.4%
11
 
0.3%
제2공장 9
 
0.2%
울산지점 8
 
0.2%
온산공장 7
 
0.2%
울산 7
 
0.2%
eng 6
 
0.2%
Other values (3254) 3469
93.7%
2024-03-14T21:24:36.518877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1051
 
5.0%
) 923
 
4.4%
( 921
 
4.4%
896
 
4.3%
631
 
3.0%
569
 
2.7%
550
 
2.6%
546
 
2.6%
416
 
2.0%
388
 
1.8%
Other values (594) 14147
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17068
81.1%
Close Punctuation 923
 
4.4%
Open Punctuation 921
 
4.4%
Other Symbol 896
 
4.3%
Space Separator 546
 
2.6%
Uppercase Letter 475
 
2.3%
Decimal Number 127
 
0.6%
Other Punctuation 52
 
0.2%
Lowercase Letter 24
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1051
 
6.2%
631
 
3.7%
569
 
3.3%
550
 
3.2%
416
 
2.4%
388
 
2.3%
354
 
2.1%
316
 
1.9%
310
 
1.8%
301
 
1.8%
Other values (541) 12182
71.4%
Uppercase Letter
ValueCountFrequency (%)
E 77
16.2%
N 63
13.3%
G 52
10.9%
C 47
9.9%
S 40
8.4%
T 30
 
6.3%
M 26
 
5.5%
P 22
 
4.6%
K 16
 
3.4%
H 16
 
3.4%
Other values (14) 86
18.1%
Lowercase Letter
ValueCountFrequency (%)
a 5
20.8%
d 3
12.5%
e 3
12.5%
n 2
 
8.3%
y 2
 
8.3%
o 2
 
8.3%
p 2
 
8.3%
c 1
 
4.2%
h 1
 
4.2%
s 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 70
55.1%
1 35
27.6%
3 17
 
13.4%
4 2
 
1.6%
7 1
 
0.8%
0 1
 
0.8%
5 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 38
73.1%
& 10
 
19.2%
/ 2
 
3.8%
' 1
 
1.9%
, 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 923
100.0%
Open Punctuation
ValueCountFrequency (%)
( 921
100.0%
Other Symbol
ValueCountFrequency (%)
896
100.0%
Space Separator
ValueCountFrequency (%)
546
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17964
85.4%
Common 2575
 
12.2%
Latin 499
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1051
 
5.9%
896
 
5.0%
631
 
3.5%
569
 
3.2%
550
 
3.1%
416
 
2.3%
388
 
2.2%
354
 
2.0%
316
 
1.8%
310
 
1.7%
Other values (542) 12483
69.5%
Latin
ValueCountFrequency (%)
E 77
15.4%
N 63
12.6%
G 52
10.4%
C 47
9.4%
S 40
 
8.0%
T 30
 
6.0%
M 26
 
5.2%
P 22
 
4.4%
K 16
 
3.2%
H 16
 
3.2%
Other values (26) 110
22.0%
Common
ValueCountFrequency (%)
) 923
35.8%
( 921
35.8%
546
21.2%
2 70
 
2.7%
. 38
 
1.5%
1 35
 
1.4%
3 17
 
0.7%
& 10
 
0.4%
- 6
 
0.2%
/ 2
 
0.1%
Other values (6) 7
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17068
81.1%
ASCII 3074
 
14.6%
None 896
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1051
 
6.2%
631
 
3.7%
569
 
3.3%
550
 
3.2%
416
 
2.4%
388
 
2.3%
354
 
2.1%
316
 
1.9%
310
 
1.8%
301
 
1.8%
Other values (541) 12182
71.4%
ASCII
ValueCountFrequency (%)
) 923
30.0%
( 921
30.0%
546
17.8%
E 77
 
2.5%
2 70
 
2.3%
N 63
 
2.0%
G 52
 
1.7%
C 47
 
1.5%
S 40
 
1.3%
. 38
 
1.2%
Other values (42) 297
 
9.7%
None
ValueCountFrequency (%)
896
100.0%
Distinct2750
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
2024-03-14T21:24:37.665369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length3
Mean length3.2764177
Min length2

Characters and Unicode

Total characters10573
Distinct characters332
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

Unique2391 ?
Unique (%)74.1%

Sample

1st row윤문기
2nd row문현팔
3rd row임영철
4th row김순이
5th row홍은진
ValueCountFrequency (%)
이종철 6
 
0.2%
김정렬 6
 
0.2%
정재욱 6
 
0.2%
이상수 5
 
0.2%
이상근 5
 
0.2%
조광수 5
 
0.2%
이상도 5
 
0.2%
이정우 5
 
0.2%
이명종 4
 
0.1%
이창헌 4
 
0.1%
Other values (2785) 3255
98.5%
2024-03-14T21:24:39.196716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
764
 
7.2%
565
 
5.3%
365
 
3.5%
284
 
2.7%
284
 
2.7%
202
 
1.9%
201
 
1.9%
183
 
1.7%
174
 
1.6%
174
 
1.6%
Other values (322) 7377
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10248
96.9%
Other Punctuation 152
 
1.4%
Space Separator 90
 
0.9%
Uppercase Letter 58
 
0.5%
Decimal Number 12
 
0.1%
Lowercase Letter 6
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
764
 
7.5%
565
 
5.5%
365
 
3.6%
284
 
2.8%
284
 
2.8%
202
 
2.0%
201
 
2.0%
183
 
1.8%
174
 
1.7%
174
 
1.7%
Other values (288) 7052
68.8%
Uppercase Letter
ValueCountFrequency (%)
O 10
17.2%
M 6
10.3%
J 6
10.3%
E 5
8.6%
A 4
 
6.9%
I 4
 
6.9%
S 4
 
6.9%
H 3
 
5.2%
N 3
 
5.2%
K 3
 
5.2%
Other values (9) 10
17.2%
Lowercase Letter
ValueCountFrequency (%)
m 2
33.3%
i 1
16.7%
s 1
16.7%
e 1
16.7%
a 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 147
96.7%
. 3
 
2.0%
/ 2
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 7
58.3%
2 3
25.0%
3 2
 
16.7%
Space Separator
ValueCountFrequency (%)
90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10248
96.9%
Common 261
 
2.5%
Latin 64
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
764
 
7.5%
565
 
5.5%
365
 
3.6%
284
 
2.8%
284
 
2.8%
202
 
2.0%
201
 
2.0%
183
 
1.8%
174
 
1.7%
174
 
1.7%
Other values (288) 7052
68.8%
Latin
ValueCountFrequency (%)
O 10
15.6%
M 6
 
9.4%
J 6
 
9.4%
E 5
 
7.8%
A 4
 
6.2%
I 4
 
6.2%
S 4
 
6.2%
H 3
 
4.7%
N 3
 
4.7%
K 3
 
4.7%
Other values (14) 16
25.0%
Common
ValueCountFrequency (%)
, 147
56.3%
90
34.5%
1 7
 
2.7%
) 3
 
1.1%
. 3
 
1.1%
( 3
 
1.1%
2 3
 
1.1%
/ 2
 
0.8%
3 2
 
0.8%
` 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10248
96.9%
ASCII 325
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
764
 
7.5%
565
 
5.5%
365
 
3.6%
284
 
2.8%
284
 
2.8%
202
 
2.0%
201
 
2.0%
183
 
1.8%
174
 
1.7%
174
 
1.7%
Other values (288) 7052
68.8%
ASCII
ValueCountFrequency (%)
, 147
45.2%
90
27.7%
O 10
 
3.1%
1 7
 
2.2%
M 6
 
1.8%
J 6
 
1.8%
E 5
 
1.5%
A 4
 
1.2%
I 4
 
1.2%
S 4
 
1.2%
Other values (24) 42
 
12.9%

전화번호
Text

MISSING 

Distinct2471
Distinct (%)92.1%
Missing543
Missing (%)16.8%
Memory size25.3 KiB
2024-03-14T21:24:40.191025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length12
Mean length12.132265
Min length11

Characters and Unicode

Total characters32563
Distinct characters20
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2285 ?
Unique (%)85.1%

Sample

1st row052-245-0939
2nd row052-245-4891
3rd row052-211-4627
4th row052-294-3704
5th row052-298-0809
ValueCountFrequency (%)
052-250-5051 4
 
0.1%
052-259-8883 4
 
0.1%
052-237-4120 3
 
0.1%
052-239-3502 3
 
0.1%
052-289-6547 3
 
0.1%
052-287-6901 3
 
0.1%
052-208-9000 3
 
0.1%
052-278-9000 3
 
0.1%
052-267-5312 3
 
0.1%
052-280-0129 3
 
0.1%
Other values (2461) 2652
98.8%
2024-03-14T21:24:41.582872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6690
20.5%
- 5406
16.6%
0 4881
15.0%
5 4442
13.6%
8 1688
 
5.2%
1 1645
 
5.1%
6 1631
 
5.0%
3 1606
 
4.9%
7 1598
 
4.9%
9 1571
 
4.8%
Other values (10) 1405
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27088
83.2%
Dash Punctuation 5406
 
16.6%
Other Punctuation 32
 
0.1%
Space Separator 24
 
0.1%
Math Symbol 8
 
< 0.1%
Other Letter 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6690
24.7%
0 4881
18.0%
5 4442
16.4%
8 1688
 
6.2%
1 1645
 
6.1%
6 1631
 
6.0%
3 1606
 
5.9%
7 1598
 
5.9%
9 1571
 
5.8%
4 1336
 
4.9%
Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 31
96.9%
, 1
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 5406
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32560
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6690
20.5%
- 5406
16.6%
0 4881
15.0%
5 4442
13.6%
8 1688
 
5.2%
1 1645
 
5.1%
6 1631
 
5.0%
3 1606
 
4.9%
7 1598
 
4.9%
9 1571
 
4.8%
Other values (7) 1402
 
4.3%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32560
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6690
20.5%
- 5406
16.6%
0 4881
15.0%
5 4442
13.6%
8 1688
 
5.2%
1 1645
 
5.1%
6 1631
 
5.0%
3 1606
 
4.9%
7 1598
 
4.9%
9 1571
 
4.8%
Other values (7) 1402
 
4.3%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct899
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
2024-03-14T21:24:42.602205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length16.049892
Min length3

Characters and Unicode

Total characters51793
Distinct characters323
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

Unique539 ?
Unique (%)16.7%

Sample

1st row가금류 가공 및 저장 처리업
2nd row육류 기타 가공 및 저장 처리업(가금류 제외)
3rd row육류 기타 가공 및 저장 처리업(가금류 제외)
4th row수산동물 훈제, 조리 및 유사 조제식품 제조업
5th row수산동물 훈제, 조리 및 유사 조제식품 제조업
ValueCountFrequency (%)
제조업 2460
 
16.1%
1275
 
8.3%
1106
 
7.2%
기타 700
 
4.6%
506
 
3.3%
신품 435
 
2.8%
385
 
2.5%
부품 380
 
2.5%
자동차용 334
 
2.2%
금속 235
 
1.5%
Other values (793) 7490
48.9%
2024-03-14T21:24:44.234676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12177
23.5%
3574
 
6.9%
3312
 
6.4%
3256
 
6.3%
1823
 
3.5%
1568
 
3.0%
1330
 
2.6%
1201
 
2.3%
1000
 
1.9%
787
 
1.5%
Other values (313) 21765
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38467
74.3%
Space Separator 12177
 
23.5%
Decimal Number 810
 
1.6%
Other Punctuation 307
 
0.6%
Close Punctuation 16
 
< 0.1%
Open Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3574
 
9.3%
3312
 
8.6%
3256
 
8.5%
1823
 
4.7%
1568
 
4.1%
1330
 
3.5%
1201
 
3.1%
1000
 
2.6%
787
 
2.0%
733
 
1.9%
Other values (297) 19883
51.7%
Decimal Number
ValueCountFrequency (%)
1 424
52.3%
3 157
 
19.4%
2 134
 
16.5%
4 42
 
5.2%
5 20
 
2.5%
6 14
 
1.7%
7 7
 
0.9%
9 7
 
0.9%
0 3
 
0.4%
8 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 299
97.4%
/ 4
 
1.3%
. 4
 
1.3%
Space Separator
ValueCountFrequency (%)
12177
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38467
74.3%
Common 13326
 
25.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3574
 
9.3%
3312
 
8.6%
3256
 
8.5%
1823
 
4.7%
1568
 
4.1%
1330
 
3.5%
1201
 
3.1%
1000
 
2.6%
787
 
2.0%
733
 
1.9%
Other values (297) 19883
51.7%
Common
ValueCountFrequency (%)
12177
91.4%
1 424
 
3.2%
, 299
 
2.2%
3 157
 
1.2%
2 134
 
1.0%
4 42
 
0.3%
5 20
 
0.2%
) 16
 
0.1%
( 16
 
0.1%
6 14
 
0.1%
Other values (6) 27
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38454
74.2%
ASCII 13326
 
25.7%
Compat Jamo 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12177
91.4%
1 424
 
3.2%
, 299
 
2.2%
3 157
 
1.2%
2 134
 
1.0%
4 42
 
0.3%
5 20
 
0.2%
) 16
 
0.1%
( 16
 
0.1%
6 14
 
0.1%
Other values (6) 27
 
0.2%
Hangul
ValueCountFrequency (%)
3574
 
9.3%
3312
 
8.6%
3256
 
8.5%
1823
 
4.7%
1568
 
4.1%
1330
 
3.5%
1201
 
3.1%
1000
 
2.6%
787
 
2.0%
733
 
1.9%
Other values (296) 19870
51.7%
Compat Jamo
ValueCountFrequency (%)
13
100.0%
Distinct2766
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
2024-03-14T21:24:45.447293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length19.040905
Min length9

Characters and Unicode

Total characters61445
Distinct characters381
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

Unique2537 ?
Unique (%)78.6%

Sample

1st row중구 다운로 78, 1층 (다운동)
2nd row중구 병영성4길 101, 102호 (서동)
3rd row중구 함월1길 350, 1층 (성안동)
4th row중구 구역전2길 25(학성동)
5th row중구 중앙길 47 (성남동)
ValueCountFrequency (%)
울주군 1359
 
10.1%
북구 921
 
6.9%
남구 406
 
3.0%
웅촌면 383
 
2.9%
동구 366
 
2.7%
온산읍 299
 
2.2%
중구 175
 
1.3%
전하동 174
 
1.3%
방어진순환도로 174
 
1.3%
상북면 131
 
1.0%
Other values (2617) 9038
67.3%
2024-03-14T21:24:47.140789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10234
 
16.7%
1 2621
 
4.3%
2470
 
4.0%
) 2020
 
3.3%
( 2016
 
3.3%
1946
 
3.2%
1842
 
3.0%
1633
 
2.7%
1617
 
2.6%
2 1586
 
2.6%
Other values (371) 33460
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34181
55.6%
Decimal Number 11366
 
18.5%
Space Separator 10234
 
16.7%
Close Punctuation 2020
 
3.3%
Open Punctuation 2016
 
3.3%
Dash Punctuation 884
 
1.4%
Other Punctuation 625
 
1.0%
Uppercase Letter 105
 
0.2%
Lowercase Letter 10
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2470
 
7.2%
1946
 
5.7%
1842
 
5.4%
1633
 
4.8%
1617
 
4.7%
1543
 
4.5%
1449
 
4.2%
1359
 
4.0%
1060
 
3.1%
821
 
2.4%
Other values (331) 18441
54.0%
Uppercase Letter
ValueCountFrequency (%)
B 30
28.6%
A 15
14.3%
S 11
 
10.5%
C 10
 
9.5%
K 8
 
7.6%
E 4
 
3.8%
G 4
 
3.8%
J 4
 
3.8%
N 3
 
2.9%
T 3
 
2.9%
Other values (7) 13
12.4%
Decimal Number
ValueCountFrequency (%)
1 2621
23.1%
2 1586
14.0%
3 1347
11.9%
0 1263
11.1%
4 1061
9.3%
5 916
 
8.1%
6 710
 
6.2%
7 685
 
6.0%
8 614
 
5.4%
9 563
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 6
60.0%
c 1
 
10.0%
i 1
 
10.0%
b 1
 
10.0%
p 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 619
99.0%
. 5
 
0.8%
' 1
 
0.2%
Space Separator
ValueCountFrequency (%)
10234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2020
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2016
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 884
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34185
55.6%
Common 27145
44.2%
Latin 115
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2470
 
7.2%
1946
 
5.7%
1842
 
5.4%
1633
 
4.8%
1617
 
4.7%
1543
 
4.5%
1449
 
4.2%
1359
 
4.0%
1060
 
3.1%
821
 
2.4%
Other values (332) 18445
54.0%
Latin
ValueCountFrequency (%)
B 30
26.1%
A 15
13.0%
S 11
 
9.6%
C 10
 
8.7%
K 8
 
7.0%
a 6
 
5.2%
E 4
 
3.5%
G 4
 
3.5%
J 4
 
3.5%
N 3
 
2.6%
Other values (12) 20
17.4%
Common
ValueCountFrequency (%)
10234
37.7%
1 2621
 
9.7%
) 2020
 
7.4%
( 2016
 
7.4%
2 1586
 
5.8%
3 1347
 
5.0%
0 1263
 
4.7%
4 1061
 
3.9%
5 916
 
3.4%
- 884
 
3.3%
Other values (7) 3197
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34181
55.6%
ASCII 27260
44.4%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10234
37.5%
1 2621
 
9.6%
) 2020
 
7.4%
( 2016
 
7.4%
2 1586
 
5.8%
3 1347
 
4.9%
0 1263
 
4.6%
4 1061
 
3.9%
5 916
 
3.4%
- 884
 
3.2%
Other values (29) 3312
 
12.1%
Hangul
ValueCountFrequency (%)
2470
 
7.2%
1946
 
5.7%
1842
 
5.4%
1633
 
4.8%
1617
 
4.7%
1543
 
4.5%
1449
 
4.2%
1359
 
4.0%
1060
 
3.1%
821
 
2.4%
Other values (331) 18441
54.0%
None
ValueCountFrequency (%)
4
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2024-03-14T21:24:47.487881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:24:47.858349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-03-14T21:24:33.152846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:24:33.540738image/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.

Sample

구군명제조업체명대표자전화번호업종명소재지주소데이터기준일자
0중구신라푸드윤문기052-245-0939가금류 가공 및 저장 처리업중구 다운로 78, 1층 (다운동)2022-12-31
1중구삼오수제갈비문현팔<NA>육류 기타 가공 및 저장 처리업(가금류 제외)중구 병영성4길 101, 102호 (서동)2022-12-31
2중구하나로식품임영철052-245-4891육류 기타 가공 및 저장 처리업(가금류 제외)중구 함월1길 350, 1층 (성안동)2022-12-31
3중구삼화어묵김순이052-211-4627수산동물 훈제, 조리 및 유사 조제식품 제조업중구 구역전2길 25(학성동)2022-12-31
4중구참치표 부산어묵홍은진<NA>수산동물 훈제, 조리 및 유사 조제식품 제조업중구 중앙길 47 (성남동)2022-12-31
5중구삼정식품강수열<NA>수산동물 훈제, 조리 및 유사 조제식품 제조업중구 화진1길 15 (태화동)2022-12-31
6중구㈜해진수산하전진052-294-3704수산동물 건조 및 염장품 제조업중구 옥교6길 23 (학산동)2022-12-31
7중구양금반찬진양금<NA>김치류 제조업중구 장춘로 12 (우정동)2022-12-31
8중구반찬마을박은숙052-298-0809기타 과실ㆍ채소 가공 및 저장 처리업중구 종가로735 (장현동)2022-12-31
9중구바이단김미화<NA>기타 과실ㆍ채소 가공 및 저장 처리업중구 백양로 126, 2층 (성안동)2022-12-31
구군명제조업체명대표자전화번호업종명소재지주소데이터기준일자
3217울주군㈜이엠라이프김금자052-221-1331그 외 기타 달리 분류되지 않은 제품 제조업울주군 범서읍 점촌5길 422022-12-31
3218중구미래유압박영호<NA>건설, 광업용 기계 및 장비 수리업중구 약사로10, 107동 605호 (약사동, 래미안1차)2022-12-31
3219중구부경기전김천봉<NA>기타 일반 기계 및 장비 수리업중구 화합로285 (학성동)2022-12-31
3220남구(주)기산테크권민정052-223-4624기계및장비 수리업남구 테크노산업로29번길 1082022-12-31
3221남구현대인버터 솔루션㈜오성호052-209-2689산업용기계 및 장비수리업남구 신여천로 35번길 462022-12-31
3222동구단비종합기술하영대052-203-2992산업용기계및장비수리동구 방어진순환도로 1000 (전하동)2022-12-31
3223동구㈜영인허윤경052-203-2413건설기계부품제조동구 고늘로 77 (일산동)2022-12-31
3224북구진승테크하병렬<NA>기타 일반기계 및 장비수리업북구 성혜2길 23(시례동)2022-12-31
3225북구한신기계이성용052-293-4559기타 일반기계 및 장비수리업북구 성혜3길 11-1(시례동)2022-12-31
3226울주군케이피엠 주식회사김민배052-237-8697기타 일반 기계 및 장비 수리업울주군 온양읍 옥수곡1길 5, A동2022-12-31

Duplicate rows

Most frequently occurring

구군명제조업체명대표자전화번호업종명소재지주소데이터기준일자# duplicates
0울주군㈜오토인더스트리김선현<NA>자동차용 신품 동력 전달장치 제조업 외 1종울주군 두동면 봉계산업로 462022-12-312