Overview

Dataset statistics

Number of variables8
Number of observations503
Missing cells274
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.6 KiB
Average record size in memory64.3 B

Variable types

Text7
DateTime1

Dataset

Description경상남도 창녕군 제조업공장 현황에 대한 정보를 제공하고 있습니다.(회사명, 대표자명, 전화번호, 팩스번호, 공장대표주소, 업종명, 생산품)
Author경상남도 창녕군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15034995

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 81 (16.1%) missing valuesMissing
팩스번호 has 193 (38.4%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:55:23.740297
Analysis finished2023-12-11 00:55:24.782313
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct484
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T09:55:24.982552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.1033797
Min length2

Characters and Unicode

Total characters3573
Distinct characters314
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

Unique469 ?
Unique (%)93.2%

Sample

1st row(유)신한코리아
2nd row(유)신한코리아
3rd row(유)이안
4th row(주)JK알에스티
5th row(주)가라시마
ValueCountFrequency (%)
주식회사 21
 
3.7%
농업회사법인 9
 
1.6%
창녕공장 7
 
1.2%
영농조합법인 5
 
0.9%
주)가야이에스씨 4
 
0.7%
주)성일엠텍 3
 
0.5%
주)센트랄씨엠에스 3
 
0.5%
보성열처리(주 2
 
0.4%
효창산업 2
 
0.4%
창녕 2
 
0.4%
Other values (490) 504
89.7%
2023-12-11T09:55:25.399211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
330
 
9.2%
) 303
 
8.5%
( 302
 
8.5%
92
 
2.6%
85
 
2.4%
70
 
2.0%
64
 
1.8%
63
 
1.8%
63
 
1.8%
60
 
1.7%
Other values (304) 2141
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2837
79.4%
Close Punctuation 304
 
8.5%
Open Punctuation 303
 
8.5%
Space Separator 60
 
1.7%
Uppercase Letter 31
 
0.9%
Other Punctuation 14
 
0.4%
Decimal Number 8
 
0.2%
Lowercase Letter 7
 
0.2%
Other Symbol 5
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
330
 
11.6%
92
 
3.2%
85
 
3.0%
70
 
2.5%
64
 
2.3%
63
 
2.2%
63
 
2.2%
60
 
2.1%
49
 
1.7%
49
 
1.7%
Other values (270) 1912
67.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
16.1%
P 4
12.9%
D 2
 
6.5%
H 2
 
6.5%
E 2
 
6.5%
I 2
 
6.5%
J 2
 
6.5%
G 2
 
6.5%
K 2
 
6.5%
T 2
 
6.5%
Other values (6) 6
19.4%
Lowercase Letter
ValueCountFrequency (%)
u 2
28.6%
n 1
14.3%
a 1
14.3%
t 1
14.3%
r 1
14.3%
e 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
1 3
37.5%
3 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 303
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 302
99.7%
[ 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 12
85.7%
& 2
 
14.3%
Space Separator
ValueCountFrequency (%)
60
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2842
79.5%
Common 693
 
19.4%
Latin 38
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
330
 
11.6%
92
 
3.2%
85
 
3.0%
70
 
2.5%
64
 
2.3%
63
 
2.2%
63
 
2.2%
60
 
2.1%
49
 
1.7%
49
 
1.7%
Other values (271) 1917
67.5%
Latin
ValueCountFrequency (%)
S 5
 
13.2%
P 4
 
10.5%
D 2
 
5.3%
H 2
 
5.3%
E 2
 
5.3%
I 2
 
5.3%
J 2
 
5.3%
G 2
 
5.3%
u 2
 
5.3%
K 2
 
5.3%
Other values (12) 13
34.2%
Common
ValueCountFrequency (%)
) 303
43.7%
( 302
43.6%
60
 
8.7%
. 12
 
1.7%
2 4
 
0.6%
- 4
 
0.6%
1 3
 
0.4%
& 2
 
0.3%
[ 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2837
79.4%
ASCII 731
 
20.5%
None 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
330
 
11.6%
92
 
3.2%
85
 
3.0%
70
 
2.5%
64
 
2.3%
63
 
2.2%
63
 
2.2%
60
 
2.1%
49
 
1.7%
49
 
1.7%
Other values (270) 1912
67.4%
ASCII
ValueCountFrequency (%)
) 303
41.5%
( 302
41.3%
60
 
8.2%
. 12
 
1.6%
S 5
 
0.7%
P 4
 
0.5%
2 4
 
0.5%
- 4
 
0.5%
1 3
 
0.4%
D 2
 
0.3%
Other values (23) 32
 
4.4%
None
ValueCountFrequency (%)
5
100.0%
Distinct453
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T09:55:25.705908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1888668
Min length2

Characters and Unicode

Total characters1604
Distinct characters186
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

Unique413 ?
Unique (%)82.1%

Sample

1st row박갑순
2nd row박갑순
3rd row이일형
4th row정용규
5th row현상운
ValueCountFrequency (%)
윤병국 4
 
0.8%
황용주 4
 
0.8%
장주영 3
 
0.6%
3
 
0.6%
김병준 3
 
0.6%
김종태 3
 
0.6%
김종열 3
 
0.6%
권혁지 3
 
0.6%
남지곤 3
 
0.6%
이상봉 3
 
0.6%
Other values (458) 492
93.9%
2023-12-11T09:55:26.131519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
7.4%
81
 
5.0%
54
 
3.4%
53
 
3.3%
37
 
2.3%
31
 
1.9%
31
 
1.9%
29
 
1.8%
28
 
1.7%
25
 
1.6%
Other values (176) 1117
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1565
97.6%
Space Separator 22
 
1.4%
Other Punctuation 14
 
0.9%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
118
 
7.5%
81
 
5.2%
54
 
3.5%
53
 
3.4%
37
 
2.4%
31
 
2.0%
31
 
2.0%
29
 
1.9%
28
 
1.8%
25
 
1.6%
Other values (172) 1078
68.9%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1565
97.6%
Common 39
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
118
 
7.5%
81
 
5.2%
54
 
3.5%
53
 
3.4%
37
 
2.4%
31
 
2.0%
31
 
2.0%
29
 
1.9%
28
 
1.8%
25
 
1.6%
Other values (172) 1078
68.9%
Common
ValueCountFrequency (%)
22
56.4%
, 14
35.9%
1 2
 
5.1%
2 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1565
97.6%
ASCII 39
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
118
 
7.5%
81
 
5.2%
54
 
3.5%
53
 
3.4%
37
 
2.4%
31
 
2.0%
31
 
2.0%
29
 
1.9%
28
 
1.8%
25
 
1.6%
Other values (172) 1078
68.9%
ASCII
ValueCountFrequency (%)
22
56.4%
, 14
35.9%
1 2
 
5.1%
2 1
 
2.6%

전화번호
Text

MISSING 

Distinct391
Distinct (%)92.7%
Missing81
Missing (%)16.1%
Memory size4.1 KiB
2023-12-11T09:55:26.458038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.995261
Min length11

Characters and Unicode

Total characters5062
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

Unique363 ?
Unique (%)86.0%

Sample

1st row055-526-2861
2nd row055-520-8200
3rd row055-526-6294
4th row055-532-3214
5th row053-614-7400
ValueCountFrequency (%)
055-532-0080 5
 
1.2%
055-521-3381 2
 
0.5%
055-521-2109 2
 
0.5%
055-533-0074 2
 
0.5%
055-532-8462 2
 
0.5%
070-708-7727 2
 
0.5%
055-521-2727 2
 
0.5%
055-533-2366 2
 
0.5%
055-533-5263 2
 
0.5%
055-536-8866 2
 
0.5%
Other values (381) 399
94.5%
2023-12-11T09:55:27.215990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1322
26.1%
- 844
16.7%
0 740
14.6%
3 483
 
9.5%
2 422
 
8.3%
1 345
 
6.8%
6 238
 
4.7%
8 193
 
3.8%
7 187
 
3.7%
4 149
 
2.9%
Other values (2) 139
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4217
83.3%
Dash Punctuation 844
 
16.7%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1322
31.3%
0 740
17.5%
3 483
 
11.5%
2 422
 
10.0%
1 345
 
8.2%
6 238
 
5.6%
8 193
 
4.6%
7 187
 
4.4%
4 149
 
3.5%
9 138
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 844
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5062
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1322
26.1%
- 844
16.7%
0 740
14.6%
3 483
 
9.5%
2 422
 
8.3%
1 345
 
6.8%
6 238
 
4.7%
8 193
 
3.8%
7 187
 
3.7%
4 149
 
2.9%
Other values (2) 139
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5062
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1322
26.1%
- 844
16.7%
0 740
14.6%
3 483
 
9.5%
2 422
 
8.3%
1 345
 
6.8%
6 238
 
4.7%
8 193
 
3.8%
7 187
 
3.7%
4 149
 
2.9%
Other values (2) 139
 
2.7%

팩스번호
Text

MISSING 

Distinct291
Distinct (%)93.9%
Missing193
Missing (%)38.4%
Memory size4.1 KiB
2023-12-11T09:55:27.546734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.996774
Min length11

Characters and Unicode

Total characters3719
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

Unique274 ?
Unique (%)88.4%

Sample

1st row055-520-8200
2nd row055-536-7549
3rd row055-532-3243
4th row053-614-7444
5th row055-532-7933
ValueCountFrequency (%)
055-327-8102 3
 
1.0%
055-532-7933 3
 
1.0%
055-532-2942 2
 
0.6%
051-317-2429 2
 
0.6%
055-343-7507 2
 
0.6%
055-521-7806 2
 
0.6%
055-532-7771 2
 
0.6%
055-533-5603 2
 
0.6%
055-521-3380 2
 
0.6%
055-536-9941 2
 
0.6%
Other values (281) 288
92.9%
2023-12-11T09:55:28.002577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 953
25.6%
- 619
16.6%
0 495
13.3%
3 394
10.6%
2 306
 
8.2%
1 207
 
5.6%
6 192
 
5.2%
8 153
 
4.1%
7 142
 
3.8%
9 135
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3100
83.4%
Dash Punctuation 619
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 953
30.7%
0 495
16.0%
3 394
12.7%
2 306
 
9.9%
1 207
 
6.7%
6 192
 
6.2%
8 153
 
4.9%
7 142
 
4.6%
9 135
 
4.4%
4 123
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 619
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3719
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 953
25.6%
- 619
16.6%
0 495
13.3%
3 394
10.6%
2 306
 
8.2%
1 207
 
5.6%
6 192
 
5.2%
8 153
 
4.1%
7 142
 
3.8%
9 135
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3719
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 953
25.6%
- 619
16.6%
0 495
13.3%
3 394
10.6%
2 306
 
8.2%
1 207
 
5.6%
6 192
 
5.2%
8 153
 
4.1%
7 142
 
3.8%
9 135
 
3.6%
Distinct435
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T09:55:28.327166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length22.087475
Min length18

Characters and Unicode

Total characters11110
Distinct characters159
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique388 ?
Unique (%)77.1%

Sample

1st row경상남도 창녕군 남지읍 남지공단길 23
2nd row경상남도 창녕군 남지읍 낙동로 325
3rd row경상남도 창녕군 도천면 바깥어만길 84-9
4th row경상남도 창녕군 대지면 대지농공단지길 24-32
5th row경상남도 창녕군 대합면 대동월포로 343
ValueCountFrequency (%)
경상남도 503
20.0%
창녕군 503
20.0%
대합면 135
 
5.4%
영산면 100
 
4.0%
계성면 47
 
1.9%
도천면 46
 
1.8%
대지면 40
 
1.6%
장마면 30
 
1.2%
창녕읍 28
 
1.1%
성산면 28
 
1.1%
Other values (531) 1059
42.0%
2023-12-11T09:55:28.797486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2023
18.2%
578
 
5.2%
556
 
5.0%
553
 
5.0%
549
 
4.9%
531
 
4.8%
524
 
4.7%
503
 
4.5%
453
 
4.1%
1 302
 
2.7%
Other values (149) 4538
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7201
64.8%
Space Separator 2023
 
18.2%
Decimal Number 1682
 
15.1%
Dash Punctuation 197
 
1.8%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
578
 
8.0%
556
 
7.7%
553
 
7.7%
549
 
7.6%
531
 
7.4%
524
 
7.3%
503
 
7.0%
453
 
6.3%
275
 
3.8%
230
 
3.2%
Other values (134) 2449
34.0%
Decimal Number
ValueCountFrequency (%)
1 302
18.0%
3 231
13.7%
2 224
13.3%
4 166
9.9%
7 148
8.8%
5 141
8.4%
6 134
8.0%
9 123
7.3%
0 113
 
6.7%
8 100
 
5.9%
Space Separator
ValueCountFrequency (%)
2023
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7201
64.8%
Common 3909
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
578
 
8.0%
556
 
7.7%
553
 
7.7%
549
 
7.6%
531
 
7.4%
524
 
7.3%
503
 
7.0%
453
 
6.3%
275
 
3.8%
230
 
3.2%
Other values (134) 2449
34.0%
Common
ValueCountFrequency (%)
2023
51.8%
1 302
 
7.7%
3 231
 
5.9%
2 224
 
5.7%
- 197
 
5.0%
4 166
 
4.2%
7 148
 
3.8%
5 141
 
3.6%
6 134
 
3.4%
9 123
 
3.1%
Other values (5) 220
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7201
64.8%
ASCII 3909
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2023
51.8%
1 302
 
7.7%
3 231
 
5.9%
2 224
 
5.7%
- 197
 
5.0%
4 166
 
4.2%
7 148
 
3.8%
5 141
 
3.6%
6 134
 
3.4%
9 123
 
3.1%
Other values (5) 220
 
5.6%
Hangul
ValueCountFrequency (%)
578
 
8.0%
556
 
7.7%
553
 
7.7%
549
 
7.6%
531
 
7.4%
524
 
7.3%
503
 
7.0%
453
 
6.3%
275
 
3.8%
230
 
3.2%
Other values (134) 2449
34.0%
Distinct228
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T09:55:29.116441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length17.932406
Min length5

Characters and Unicode

Total characters9020
Distinct characters256
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

Unique146 ?
Unique (%)29.0%

Sample

1st row육상 금속 골조 구조재 제조업 외 1 종
2nd row기타 건축용 플라스틱 조립제품 제조업
3rd row기체 여과기 제조업 외 1 종
4th row배전반 및 전기 자동제어반 제조업
5th row복합비료 및 기타 화학비료 제조업
ValueCountFrequency (%)
제조업 422
 
14.2%
314
 
10.5%
224
 
7.5%
187
 
6.3%
1 133
 
4.5%
기타 110
 
3.7%
89
 
3.0%
금속 66
 
2.2%
신품 61
 
2.0%
부품 60
 
2.0%
Other values (335) 1312
44.1%
2023-12-11T09:55:29.593620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2475
27.4%
567
 
6.3%
551
 
6.1%
524
 
5.8%
324
 
3.6%
251
 
2.8%
229
 
2.5%
203
 
2.3%
190
 
2.1%
1 144
 
1.6%
Other values (246) 3562
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6213
68.9%
Space Separator 2475
 
27.4%
Decimal Number 236
 
2.6%
Other Punctuation 76
 
0.8%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
567
 
9.1%
551
 
8.9%
524
 
8.4%
324
 
5.2%
251
 
4.0%
229
 
3.7%
203
 
3.3%
190
 
3.1%
139
 
2.2%
126
 
2.0%
Other values (234) 3109
50.0%
Decimal Number
ValueCountFrequency (%)
1 144
61.0%
3 47
 
19.9%
2 24
 
10.2%
4 12
 
5.1%
6 4
 
1.7%
0 2
 
0.8%
5 2
 
0.8%
7 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2475
100.0%
Other Punctuation
ValueCountFrequency (%)
, 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6213
68.9%
Common 2807
31.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
567
 
9.1%
551
 
8.9%
524
 
8.4%
324
 
5.2%
251
 
4.0%
229
 
3.7%
203
 
3.3%
190
 
3.1%
139
 
2.2%
126
 
2.0%
Other values (234) 3109
50.0%
Common
ValueCountFrequency (%)
2475
88.2%
1 144
 
5.1%
, 76
 
2.7%
3 47
 
1.7%
2 24
 
0.9%
4 12
 
0.4%
) 10
 
0.4%
( 10
 
0.4%
6 4
 
0.1%
0 2
 
0.1%
Other values (2) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6208
68.8%
ASCII 2807
31.1%
Compat Jamo 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2475
88.2%
1 144
 
5.1%
, 76
 
2.7%
3 47
 
1.7%
2 24
 
0.9%
4 12
 
0.4%
) 10
 
0.4%
( 10
 
0.4%
6 4
 
0.1%
0 2
 
0.1%
Other values (2) 3
 
0.1%
Hangul
ValueCountFrequency (%)
567
 
9.1%
551
 
8.9%
524
 
8.4%
324
 
5.2%
251
 
4.0%
229
 
3.7%
203
 
3.3%
190
 
3.1%
139
 
2.2%
126
 
2.0%
Other values (233) 3104
50.0%
Compat Jamo
ValueCountFrequency (%)
5
100.0%
Distinct441
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-11T09:55:29.940243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length8.2186879
Min length2

Characters and Unicode

Total characters4134
Distinct characters453
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique413 ?
Unique (%)82.1%

Sample

1st row판넬
2nd rowSMC 도어
3rd row산업용집진기, 일반기계제조
4th row배전반
5th row액체비료
ValueCountFrequency (%)
25
 
2.8%
철구조물 21
 
2.3%
자동차부품 17
 
1.9%
12
 
1.3%
자동차 11
 
1.2%
부품 8
 
0.9%
알루미늄 7
 
0.8%
6
 
0.7%
선박부품 6
 
0.7%
각재 6
 
0.7%
Other values (632) 781
86.8%
2023-12-11T09:55:30.406676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
402
 
9.7%
, 199
 
4.8%
113
 
2.7%
91
 
2.2%
88
 
2.1%
80
 
1.9%
78
 
1.9%
63
 
1.5%
61
 
1.5%
60
 
1.5%
Other values (443) 2899
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3245
78.5%
Space Separator 402
 
9.7%
Other Punctuation 206
 
5.0%
Lowercase Letter 120
 
2.9%
Uppercase Letter 93
 
2.2%
Close Punctuation 32
 
0.8%
Open Punctuation 32
 
0.8%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
113
 
3.5%
91
 
2.8%
88
 
2.7%
80
 
2.5%
78
 
2.4%
63
 
1.9%
61
 
1.9%
60
 
1.8%
60
 
1.8%
54
 
1.7%
Other values (394) 2497
76.9%
Uppercase Letter
ValueCountFrequency (%)
P 12
12.9%
C 9
9.7%
E 8
 
8.6%
S 8
 
8.6%
T 8
 
8.6%
R 7
 
7.5%
H 7
 
7.5%
U 4
 
4.3%
B 4
 
4.3%
L 4
 
4.3%
Other values (11) 22
23.7%
Lowercase Letter
ValueCountFrequency (%)
e 16
13.3%
a 14
11.7%
t 14
11.7%
r 10
8.3%
l 9
 
7.5%
i 8
 
6.7%
n 7
 
5.8%
p 7
 
5.8%
o 6
 
5.0%
d 5
 
4.2%
Other values (9) 24
20.0%
Other Punctuation
ValueCountFrequency (%)
, 199
96.6%
. 5
 
2.4%
/ 2
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
402
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3245
78.5%
Common 676
 
16.4%
Latin 213
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
113
 
3.5%
91
 
2.8%
88
 
2.7%
80
 
2.5%
78
 
2.4%
63
 
1.9%
61
 
1.9%
60
 
1.8%
60
 
1.8%
54
 
1.7%
Other values (394) 2497
76.9%
Latin
ValueCountFrequency (%)
e 16
 
7.5%
a 14
 
6.6%
t 14
 
6.6%
P 12
 
5.6%
r 10
 
4.7%
l 9
 
4.2%
C 9
 
4.2%
E 8
 
3.8%
S 8
 
3.8%
i 8
 
3.8%
Other values (30) 105
49.3%
Common
ValueCountFrequency (%)
402
59.5%
, 199
29.4%
) 32
 
4.7%
( 32
 
4.7%
. 5
 
0.7%
/ 2
 
0.3%
2 2
 
0.3%
5 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3245
78.5%
ASCII 889
 
21.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
402
45.2%
, 199
22.4%
) 32
 
3.6%
( 32
 
3.6%
e 16
 
1.8%
a 14
 
1.6%
t 14
 
1.6%
P 12
 
1.3%
r 10
 
1.1%
l 9
 
1.0%
Other values (39) 149
 
16.8%
Hangul
ValueCountFrequency (%)
113
 
3.5%
91
 
2.8%
88
 
2.7%
80
 
2.5%
78
 
2.4%
63
 
1.9%
61
 
1.9%
60
 
1.8%
60
 
1.8%
54
 
1.7%
Other values (394) 2497
76.9%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2020-11-23 00:00:00
Maximum2020-11-23 00:00:00
2023-12-11T09:55:30.506935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:55:30.590678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-11T09:55:24.511545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:55:24.648170image/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.
2023-12-11T09:55:24.738011image/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

회사명대표명전화번호팩스번호공장대표주소업종명생산품데이터기준일
0(유)신한코리아박갑순055-526-2861<NA>경상남도 창녕군 남지읍 남지공단길 23육상 금속 골조 구조재 제조업 외 1 종판넬2020-11-23
1(유)신한코리아박갑순055-520-8200055-520-8200경상남도 창녕군 남지읍 낙동로 325기타 건축용 플라스틱 조립제품 제조업SMC 도어2020-11-23
2(유)이안이일형055-526-6294055-536-7549경상남도 창녕군 도천면 바깥어만길 84-9기체 여과기 제조업 외 1 종산업용집진기, 일반기계제조2020-11-23
3(주)JK알에스티정용규055-532-3214055-532-3243경상남도 창녕군 대지면 대지농공단지길 24-32배전반 및 전기 자동제어반 제조업배전반2020-11-23
4(주)가라시마현상운053-614-7400053-614-7444경상남도 창녕군 대합면 대동월포로 343복합비료 및 기타 화학비료 제조업액체비료2020-11-23
5(주)가야이에스씨윤병국055-532-0080055-532-7933경상남도 창녕군 대합면 도개길 59육상 금속 골조 구조재 제조업 외 1 종철구조물2020-11-23
6(주)가야이에스씨윤병국055-532-0080055-532-7933경상남도 창녕군 대합면 등지리 973-1기타 구조용 금속제품 제조업철구조물2020-11-23
7(주)가야이에스씨윤병국055-532-0080055-532-8901경상남도 창녕군 대합면 이방대합로 1132기타 구조용 금속제품 제조업철구조물, BH제작, 금속부착물 외2020-11-23
8(주)가야이에스씨윤병국055-532-0080055-532-7933경상남도 창녕군 대합면 이방대합로 1132기타 구조용 금속제품 제조업강구조물2020-11-23
9(주)강일정밀관문영순051-804-3360<NA>경상남도 창녕군 장마면 영산장마로 301-4열간 압연 및 압출 제품 제조업스테인레스관2020-11-23
회사명대표명전화번호팩스번호공장대표주소업종명생산품데이터기준일
493㈜케이티에스테크이진연<NA><NA>경상남도 창녕군 도천면 바깥어만길 84-3그 외 기타 나무제품 제조업야자톱밥2020-11-23
494㈜성림텍김극용055-533-9701055-533-9702경상남도 창녕군 대합면 장기리 1111-1번지판지 상지 및 용기 제조업포장박스2020-11-23
495㈜대진하춘기055-533-0074055-5331715경상남도 창녕군 창녕읍 환곡어도로 225-21그 외 분류 안된 비금속 광물제품 제조업칼라규사2020-11-23
496제이SK기계김명희<NA><NA>경상남도 창녕군 남지읍 박진로 1695기타 일반 기계 및 장비 수리업수리농기계2020-11-23
497정우건설기계정종환<NA><NA>경상남도 창녕군 대합면 모전리 375-1건설, 광업용 기계 및 장비 수리업어태치먼트2020-11-23
498씨엘주식회사김승수055-264-9985055-324-9985경상남도 창녕군 장마면 동정리 528-3기타과실채소 가공 및 저장처리업쿠킹박스(샐러드 외)2020-11-23
499㈜대도씨엔이배지명051-731-4579051-731-4590경상남도 창녕군 대합면 평지퇴산로 239육상금속골조구조재 제조업, 수상금속골조구조재 제조업철구조물, 강구조물2020-11-23
500기훈테크박정훈055-521-2235055-521-2236경상남도 창녕군 영산면 죽사리 1087그 외 기타 금속가공업반도체 검사장비 및 시설장비2020-11-23
501진응김대현<NA>055-585-8867경상남도 창녕군 고암면 원촌어은길 154기타목재가구 제조업 외 2종이동식한옥목조주택, 데크제작및설치,수중보2020-11-23
502주식회사 지승팜푸드김영호055-530-8080055-533-8088경상남도 창녕군 대지면 경남대로 4897-35육류 포장육 및 냉동육 가공업 (가금류 제외)돈육 냉장, 냉동 제품2020-11-23