Overview

Dataset statistics

Number of variables6
Number of observations1987
Missing cells524
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory93.3 KiB
Average record size in memory48.1 B

Variable types

Text6

Dataset

Description대구광역시_여성기업제품현황_20220107
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15069129&dataSetDetailId=150691291ea36da04711a&provdMethod=FILE

Alerts

전화번호 has 360 (18.1%) missing valuesMissing
팩스번호 has 154 (7.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:34:48.690088
Analysis finished2023-12-10 17:34:51.196135
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct1982
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
2023-12-11T02:34:51.683455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length7.1142426
Min length1

Characters and Unicode

Total characters14136
Distinct characters662
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1977 ?
Unique (%)99.5%

Sample

1st row세아상사
2nd row큐엔씨
3rd row( 주)새한건설
4th row(주)유진텍
5th row다사음악심리센터
ValueCountFrequency (%)
주식회사 292
 
11.8%
건축사사무소 32
 
1.3%
16
 
0.6%
디자인 10
 
0.4%
신우 3
 
0.1%
농업회사법인 3
 
0.1%
우진설비 2
 
0.1%
사람들 2
 
0.1%
co.ltd 2
 
0.1%
2
 
0.1%
Other values (2093) 2114
85.3%
2023-12-11T02:34:52.676767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
841
 
5.9%
588
 
4.2%
) 511
 
3.6%
508
 
3.6%
( 505
 
3.6%
431
 
3.0%
384
 
2.7%
380
 
2.7%
310
 
2.2%
202
 
1.4%
Other values (652) 9476
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12063
85.3%
Close Punctuation 512
 
3.6%
Space Separator 508
 
3.6%
Open Punctuation 506
 
3.6%
Uppercase Letter 242
 
1.7%
Lowercase Letter 237
 
1.7%
Decimal Number 37
 
0.3%
Other Punctuation 25
 
0.2%
Dash Punctuation 5
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
841
 
7.0%
588
 
4.9%
431
 
3.6%
384
 
3.2%
380
 
3.2%
310
 
2.6%
202
 
1.7%
196
 
1.6%
179
 
1.5%
170
 
1.4%
Other values (584) 8382
69.5%
Uppercase Letter
ValueCountFrequency (%)
N 20
 
8.3%
A 19
 
7.9%
T 19
 
7.9%
C 17
 
7.0%
S 17
 
7.0%
D 16
 
6.6%
O 16
 
6.6%
E 15
 
6.2%
M 13
 
5.4%
L 13
 
5.4%
Other values (14) 77
31.8%
Lowercase Letter
ValueCountFrequency (%)
e 35
14.8%
o 25
 
10.5%
n 19
 
8.0%
a 18
 
7.6%
t 14
 
5.9%
i 14
 
5.9%
r 13
 
5.5%
s 13
 
5.5%
l 12
 
5.1%
u 11
 
4.6%
Other values (13) 63
26.6%
Decimal Number
ValueCountFrequency (%)
0 8
21.6%
1 8
21.6%
2 5
13.5%
3 5
13.5%
5 3
 
8.1%
4 3
 
8.1%
8 2
 
5.4%
9 2
 
5.4%
6 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 12
48.0%
& 9
36.0%
/ 2
 
8.0%
: 1
 
4.0%
' 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 511
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 505
99.8%
[ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
508
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12061
85.3%
Common 1594
 
11.3%
Latin 479
 
3.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
841
 
7.0%
588
 
4.9%
431
 
3.6%
384
 
3.2%
380
 
3.2%
310
 
2.6%
202
 
1.7%
196
 
1.6%
179
 
1.5%
170
 
1.4%
Other values (582) 8380
69.5%
Latin
ValueCountFrequency (%)
e 35
 
7.3%
o 25
 
5.2%
N 20
 
4.2%
n 19
 
4.0%
A 19
 
4.0%
T 19
 
4.0%
a 18
 
3.8%
C 17
 
3.5%
S 17
 
3.5%
D 16
 
3.3%
Other values (37) 274
57.2%
Common
ValueCountFrequency (%)
) 511
32.1%
508
31.9%
( 505
31.7%
. 12
 
0.8%
& 9
 
0.6%
0 8
 
0.5%
1 8
 
0.5%
2 5
 
0.3%
3 5
 
0.3%
- 5
 
0.3%
Other values (11) 18
 
1.1%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12061
85.3%
ASCII 2073
 
14.7%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
841
 
7.0%
588
 
4.9%
431
 
3.6%
384
 
3.2%
380
 
3.2%
310
 
2.6%
202
 
1.7%
196
 
1.6%
179
 
1.5%
170
 
1.4%
Other values (582) 8380
69.5%
ASCII
ValueCountFrequency (%)
) 511
24.7%
508
24.5%
( 505
24.4%
e 35
 
1.7%
o 25
 
1.2%
N 20
 
1.0%
n 19
 
0.9%
A 19
 
0.9%
T 19
 
0.9%
a 18
 
0.9%
Other values (58) 394
19.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct1973
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
2023-12-11T02:34:53.369861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length26.065425
Min length12

Characters and Unicode

Total characters51792
Distinct characters529
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

Unique1962 ?
Unique (%)98.7%

Sample

1st row대구광역시 중구 교동4길 20화성
2nd row대구광역시 수성구 들안로 261
3rd row대구광역시 북구 영송로 69-371층 3-1호 (태전동)
4th row대구광역시 달서구 성서공단로 140(주) 유진텍
5th row대구광역시 달성군 다사읍 죽곡1길 9501호
ValueCountFrequency (%)
대구광역시 1956
 
20.7%
수성구 356
 
3.8%
달서구 328
 
3.5%
북구 327
 
3.5%
동구 274
 
2.9%
중구 226
 
2.4%
달성군 223
 
2.4%
남구 129
 
1.4%
서구 128
 
1.4%
다사읍 46
 
0.5%
Other values (3400) 5474
57.8%
2023-12-11T02:34:54.489687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7547
 
14.6%
4007
 
7.7%
1 2513
 
4.9%
2463
 
4.8%
2018
 
3.9%
1977
 
3.8%
1975
 
3.8%
1875
 
3.6%
2 1640
 
3.2%
1396
 
2.7%
Other values (519) 24381
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31676
61.2%
Decimal Number 10382
 
20.0%
Space Separator 7547
 
14.6%
Close Punctuation 721
 
1.4%
Open Punctuation 720
 
1.4%
Dash Punctuation 548
 
1.1%
Uppercase Letter 118
 
0.2%
Lowercase Letter 50
 
0.1%
Other Punctuation 29
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4007
 
12.6%
2463
 
7.8%
2018
 
6.4%
1977
 
6.2%
1975
 
6.2%
1875
 
5.9%
1396
 
4.4%
1066
 
3.4%
896
 
2.8%
857
 
2.7%
Other values (460) 13146
41.5%
Uppercase Letter
ValueCountFrequency (%)
F 19
16.1%
B 18
15.3%
A 10
 
8.5%
S 7
 
5.9%
M 7
 
5.9%
C 6
 
5.1%
E 6
 
5.1%
T 6
 
5.1%
O 5
 
4.2%
D 4
 
3.4%
Other values (13) 30
25.4%
Lowercase Letter
ValueCountFrequency (%)
o 8
16.0%
t 6
12.0%
s 6
12.0%
u 4
8.0%
n 4
8.0%
r 4
8.0%
c 3
 
6.0%
i 3
 
6.0%
e 2
 
4.0%
d 2
 
4.0%
Other values (6) 8
16.0%
Decimal Number
ValueCountFrequency (%)
1 2513
24.2%
2 1640
15.8%
0 1130
10.9%
3 1094
10.5%
4 843
 
8.1%
5 832
 
8.0%
6 710
 
6.8%
7 609
 
5.9%
8 513
 
4.9%
9 498
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 18
62.1%
/ 6
 
20.7%
· 3
 
10.3%
& 1
 
3.4%
1
 
3.4%
Space Separator
ValueCountFrequency (%)
7547
100.0%
Close Punctuation
ValueCountFrequency (%)
) 721
100.0%
Open Punctuation
ValueCountFrequency (%)
( 720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 548
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31676
61.2%
Common 19948
38.5%
Latin 168
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4007
 
12.6%
2463
 
7.8%
2018
 
6.4%
1977
 
6.2%
1975
 
6.2%
1875
 
5.9%
1396
 
4.4%
1066
 
3.4%
896
 
2.8%
857
 
2.7%
Other values (460) 13146
41.5%
Latin
ValueCountFrequency (%)
F 19
 
11.3%
B 18
 
10.7%
A 10
 
6.0%
o 8
 
4.8%
S 7
 
4.2%
M 7
 
4.2%
t 6
 
3.6%
s 6
 
3.6%
C 6
 
3.6%
E 6
 
3.6%
Other values (29) 75
44.6%
Common
ValueCountFrequency (%)
7547
37.8%
1 2513
 
12.6%
2 1640
 
8.2%
0 1130
 
5.7%
3 1094
 
5.5%
4 843
 
4.2%
5 832
 
4.2%
) 721
 
3.6%
( 720
 
3.6%
6 710
 
3.6%
Other values (10) 2198
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31676
61.2%
ASCII 20112
38.8%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7547
37.5%
1 2513
 
12.5%
2 1640
 
8.2%
0 1130
 
5.6%
3 1094
 
5.4%
4 843
 
4.2%
5 832
 
4.1%
) 721
 
3.6%
( 720
 
3.6%
6 710
 
3.5%
Other values (47) 2362
 
11.7%
Hangul
ValueCountFrequency (%)
4007
 
12.6%
2463
 
7.8%
2018
 
6.4%
1977
 
6.2%
1975
 
6.2%
1875
 
5.9%
1396
 
4.4%
1066
 
3.4%
896
 
2.8%
857
 
2.7%
Other values (460) 13146
41.5%
None
ValueCountFrequency (%)
· 3
75.0%
1
 
25.0%
Distinct69
Distinct (%)3.5%
Missing7
Missing (%)0.4%
Memory size15.7 KiB
2023-12-11T02:34:54.988266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length47
Mean length7.8212121
Min length3

Characters and Unicode

Total characters15486
Distinct characters80
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)1.9%

Sample

1st row도매 및 소매업
2nd row제조업
3rd row건설업
4th row제조업
5th row교육 서비스업
ValueCountFrequency (%)
950
18.9%
제조업 539
10.7%
소매업 475
 
9.4%
도매 465
 
9.2%
서비스업 430
 
8.5%
건설업 326
 
6.5%
과학 171
 
3.4%
기술 171
 
3.4%
전문 165
 
3.3%
교육 96
 
1.9%
Other values (82) 1244
24.7%
2023-12-11T02:34:56.611328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3052
19.7%
2246
14.5%
978
 
6.3%
950
 
6.1%
588
 
3.8%
584
 
3.8%
513
 
3.3%
498
 
3.2%
489
 
3.2%
460
 
3.0%
Other values (70) 5128
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12334
79.6%
Space Separator 3052
 
19.7%
Math Symbol 100
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2246
18.2%
978
 
7.9%
950
 
7.7%
588
 
4.8%
584
 
4.7%
513
 
4.2%
498
 
4.0%
489
 
4.0%
460
 
3.7%
460
 
3.7%
Other values (68) 4568
37.0%
Space Separator
ValueCountFrequency (%)
3052
100.0%
Math Symbol
ValueCountFrequency (%)
| 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12334
79.6%
Common 3152
 
20.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2246
18.2%
978
 
7.9%
950
 
7.7%
588
 
4.8%
584
 
4.7%
513
 
4.2%
498
 
4.0%
489
 
4.0%
460
 
3.7%
460
 
3.7%
Other values (68) 4568
37.0%
Common
ValueCountFrequency (%)
3052
96.8%
| 100
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12334
79.6%
ASCII 3152
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3052
96.8%
| 100
 
3.2%
Hangul
ValueCountFrequency (%)
2246
18.2%
978
 
7.9%
950
 
7.7%
588
 
4.8%
584
 
4.7%
513
 
4.2%
498
 
4.0%
489
 
4.0%
460
 
3.7%
460
 
3.7%
Other values (68) 4568
37.0%

전화번호
Text

MISSING 

Distinct1588
Distinct (%)97.6%
Missing360
Missing (%)18.1%
Memory size15.7 KiB
2023-12-11T02:34:57.265908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.088506
Min length11

Characters and Unicode

Total characters19668
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

Unique1557 ?
Unique (%)95.7%

Sample

1st row053-743-6729
2nd row054-382-6284
3rd row053-592-7722
4th row053-581-7946
5th row053-716-8866
ValueCountFrequency (%)
070-7422-0550 6
 
0.4%
053-000-0000 4
 
0.2%
053-475-1883 3
 
0.2%
053-292-9373 3
 
0.2%
053-623-7521 2
 
0.1%
053-754-0999 2
 
0.1%
053-583-1434 2
 
0.1%
053-989-1167 2
 
0.1%
053-654-8979 2
 
0.1%
053-354-5609 2
 
0.1%
Other values (1578) 1599
98.3%
2023-12-11T02:34:58.264707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3254
16.5%
5 3018
15.3%
0 2888
14.7%
3 2589
13.2%
7 1345
6.8%
2 1319
6.7%
6 1173
 
6.0%
1 1127
 
5.7%
8 1081
 
5.5%
4 1062
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16414
83.5%
Dash Punctuation 3254
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3018
18.4%
0 2888
17.6%
3 2589
15.8%
7 1345
8.2%
2 1319
8.0%
6 1173
 
7.1%
1 1127
 
6.9%
8 1081
 
6.6%
4 1062
 
6.5%
9 812
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 3254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19668
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3254
16.5%
5 3018
15.3%
0 2888
14.7%
3 2589
13.2%
7 1345
6.8%
2 1319
6.7%
6 1173
 
6.0%
1 1127
 
5.7%
8 1081
 
5.5%
4 1062
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19668
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3254
16.5%
5 3018
15.3%
0 2888
14.7%
3 2589
13.2%
7 1345
6.8%
2 1319
6.7%
6 1173
 
6.0%
1 1127
 
5.7%
8 1081
 
5.5%
4 1062
 
5.4%

팩스번호
Text

MISSING 

Distinct1754
Distinct (%)95.7%
Missing154
Missing (%)7.8%
Memory size15.7 KiB
2023-12-11T02:34:58.878964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.175668
Min length5

Characters and Unicode

Total characters22318
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

Unique1706 ?
Unique (%)93.1%

Sample

1st row053-424-9797
2nd row053-743-6728
3rd row053-323-0889
4th row053-592-7720
5th row053-585-7946
ValueCountFrequency (%)
053-000-0000 15
 
0.8%
070-7614-2223 8
 
0.4%
053-763-9470 7
 
0.4%
053-289-7817 4
 
0.2%
053-111-1111 4
 
0.2%
053-473-1883 3
 
0.2%
053-654-8979 3
 
0.2%
053-939-8651 3
 
0.2%
053-767-4476 2
 
0.1%
053-634-3039 2
 
0.1%
Other values (1744) 1782
97.2%
2023-12-11T02:34:59.808948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3666
16.4%
0 3371
15.1%
5 3356
15.0%
3 2839
12.7%
2 1558
7.0%
4 1375
 
6.2%
7 1357
 
6.1%
6 1267
 
5.7%
8 1229
 
5.5%
1 1209
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18652
83.6%
Dash Punctuation 3666
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3371
18.1%
5 3356
18.0%
3 2839
15.2%
2 1558
8.4%
4 1375
7.4%
7 1357
7.3%
6 1267
 
6.8%
8 1229
 
6.6%
1 1209
 
6.5%
9 1091
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 3666
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3666
16.4%
0 3371
15.1%
5 3356
15.0%
3 2839
12.7%
2 1558
7.0%
4 1375
 
6.2%
7 1357
 
6.1%
6 1267
 
5.7%
8 1229
 
5.5%
1 1209
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3666
16.4%
0 3371
15.1%
5 3356
15.0%
3 2839
12.7%
2 1558
7.0%
4 1375
 
6.2%
7 1357
 
6.1%
6 1267
 
5.7%
8 1229
 
5.5%
1 1209
 
5.4%
Distinct1140
Distinct (%)57.5%
Missing3
Missing (%)0.2%
Memory size15.7 KiB
2023-12-11T02:35:00.371092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length45
Mean length7.8054435
Min length1

Characters and Unicode

Total characters15486
Distinct characters587
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

Unique933 ?
Unique (%)47.0%

Sample

1st row개인용소형가방
2nd row8210159801 인쇄광고용역
3rd row건설업 포장과 도장
4th row기계부품 그레이팅 일반철물
5th row교육서비스
ValueCountFrequency (%)
106
 
3.7%
디자인서비스 46
 
1.6%
기타인쇄물 41
 
1.4%
건축설계용역 39
 
1.3%
서적 39
 
1.3%
실내건축공사 38
 
1.3%
전기공사 37
 
1.3%
기타교육서비스 31
 
1.1%
건축공사 26
 
0.9%
건물청소서비스 25
 
0.9%
Other values (1522) 2467
85.2%
2023-12-11T02:35:01.344324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
958
 
6.2%
469
 
3.0%
466
 
3.0%
457
 
3.0%
421
 
2.7%
358
 
2.3%
358
 
2.3%
332
 
2.1%
271
 
1.7%
241
 
1.6%
Other values (577) 11155
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14230
91.9%
Space Separator 958
 
6.2%
Uppercase Letter 98
 
0.6%
Other Punctuation 61
 
0.4%
Decimal Number 61
 
0.4%
Close Punctuation 27
 
0.2%
Open Punctuation 27
 
0.2%
Lowercase Letter 23
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
469
 
3.3%
466
 
3.3%
457
 
3.2%
421
 
3.0%
358
 
2.5%
358
 
2.5%
332
 
2.3%
271
 
1.9%
241
 
1.7%
228
 
1.6%
Other values (533) 10629
74.7%
Uppercase Letter
ValueCountFrequency (%)
D 23
23.5%
E 17
17.3%
L 15
15.3%
P 10
10.2%
V 6
 
6.1%
C 6
 
6.1%
T 5
 
5.1%
S 4
 
4.1%
O 2
 
2.0%
I 2
 
2.0%
Other values (7) 8
 
8.2%
Lowercase Letter
ValueCountFrequency (%)
v 5
21.7%
c 4
17.4%
t 3
13.0%
a 2
 
8.7%
i 2
 
8.7%
e 2
 
8.7%
y 1
 
4.3%
d 1
 
4.3%
l 1
 
4.3%
p 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
9 16
26.2%
1 14
23.0%
2 7
11.5%
8 5
 
8.2%
0 5
 
8.2%
3 5
 
8.2%
7 4
 
6.6%
4 3
 
4.9%
5 2
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 32
52.5%
/ 24
39.3%
· 5
 
8.2%
Space Separator
ValueCountFrequency (%)
958
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14229
91.9%
Common 1135
 
7.3%
Latin 121
 
0.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
469
 
3.3%
466
 
3.3%
457
 
3.2%
421
 
3.0%
358
 
2.5%
358
 
2.5%
332
 
2.3%
271
 
1.9%
241
 
1.7%
228
 
1.6%
Other values (532) 10628
74.7%
Latin
ValueCountFrequency (%)
D 23
19.0%
E 17
14.0%
L 15
12.4%
P 10
 
8.3%
V 6
 
5.0%
C 6
 
5.0%
T 5
 
4.1%
v 5
 
4.1%
S 4
 
3.3%
c 4
 
3.3%
Other values (18) 26
21.5%
Common
ValueCountFrequency (%)
958
84.4%
. 32
 
2.8%
) 27
 
2.4%
( 27
 
2.4%
/ 24
 
2.1%
9 16
 
1.4%
1 14
 
1.2%
2 7
 
0.6%
8 5
 
0.4%
0 5
 
0.4%
Other values (6) 20
 
1.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14229
91.9%
ASCII 1251
 
8.1%
None 5
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
958
76.6%
. 32
 
2.6%
) 27
 
2.2%
( 27
 
2.2%
/ 24
 
1.9%
D 23
 
1.8%
E 17
 
1.4%
9 16
 
1.3%
L 15
 
1.2%
1 14
 
1.1%
Other values (33) 98
 
7.8%
Hangul
ValueCountFrequency (%)
469
 
3.3%
466
 
3.3%
457
 
3.2%
421
 
3.0%
358
 
2.5%
358
 
2.5%
332
 
2.3%
271
 
1.9%
241
 
1.7%
228
 
1.6%
Other values (532) 10628
74.7%
None
ValueCountFrequency (%)
· 5
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

Missing values

2023-12-11T02:34:50.584995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:34:50.840999image/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.
2023-12-11T02:34:51.062947image/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

업체명소재지주업종전화번호팩스번호주요 생산품목
0세아상사대구광역시 중구 교동4길 20화성도매 및 소매업<NA>053-424-9797개인용소형가방
1큐엔씨대구광역시 수성구 들안로 261제조업053-743-6729053-743-67288210159801 인쇄광고용역
2( 주)새한건설대구광역시 북구 영송로 69-371층 3-1호 (태전동)건설업054-382-6284053-323-0889건설업 포장과 도장
3(주)유진텍대구광역시 달서구 성서공단로 140(주) 유진텍제조업053-592-7722053-592-7720기계부품 그레이팅 일반철물
4다사음악심리센터대구광역시 달성군 다사읍 죽곡1길 9501호교육 서비스업053-581-7946053-585-7946교육서비스
5파워녹취속기폰복원대구광역시 동구 동호로5길 233정보통신업053-716-8866050-4320-4970데이터처리서비스
6(주)아름다이대구광역시 북구 대현로9길 512층 (대현동)제조업070-7516-5891053-381-7555여성용바지
7마녀공예협동조합대구광역시 남구 대명남로 1101층도매 및 소매업053-201-1101050-4314-6974수공예품 교육재료
8신화명과 주식회사대구광역시 수성구 화랑로34길 75(만촌동)도매 및 소매업053-958-7218053-958-7218식품 제과 외
9에이치제이기획대구광역시 동구 첨단로 30이노빌딩 1동 306호제조업053-965-7255053-965-7278기타인쇄물
업체명소재지주업종전화번호팩스번호주요 생산품목
1977멜로우모먼트대구광역시 남구 명덕로 104계명대학교 의양관 104호도매 및 소매업070-7785-5535053-654-8979돗자리
1978이레환경대구광역시 달성군 하빈면 하산길 129-24수도 하수 및 폐기물 처리 원료 재생업053-592-4747053-581-6558음식물 및 대형폐기물 수집운반업
1979(주) 청소하는 마을대구광역시 수성구 지범로31길 33-18(지산동)사업시설 관리 사업 지원 및 임대 서비스업053-766-8234053-782-8235건물청소서비스
1980(주)대왕상사대구광역시 북구 유통단지로8길 121-16도매 및 소매업053-381-3000053-381-4000박리제
1981더디자인페이퍼대구광역시 수성구 들안로40길 61-6황금나리빌 B동 102호도매 및 소매업053-765-1360053-765-1360아트디자인및그래픽용역
1982중앙텍스대구광역시 서구 국채보상로10길 61030-54 (중리동)제조업053-562-6325053-559-0754컴퓨터자수관련제품.침구.의류.홈페브릭제품
1983별들의도시은하대구광역시 북구 대현로 23B1 예술전진기지 별들의도시 은하예술 스포츠 및 여가관련 서비스업053-243-0727053-722-0727문화기획 공연예술창작 융복합예술제작 외 기타 공연예술창작 및 서비스업
1984엠지테크윈대구광역시 달서구 성서로5길 11동양산업 내 MG테크윈제조업053-586-3112053-586-311129199
1985성창티엠주식회사대구광역시 동구 아양로41길 17-2(동구 신암동 23-9)사업시설 관리 사업 지원 및 임대 서비스업053-951-8813053-951-8814시설물경비서비스
1986(주)금오조경개발대구광역시 달성군 논공읍 비슬로 1739제조업054-956-6100054-956-6102퍼걸러