Overview

Dataset statistics

Number of variables9
Number of observations493
Missing cells143
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.3 KiB
Average record size in memory73.3 B

Variable types

Text7
Numeric1
Categorical1

Dataset

Description경상남도 밀양시 제조업체 현황에 대한 자료로, 회사명, 대표자명, 주소지, 업종명, 전화번호, 팩스번호, 종업원수, 생산품에 대한 정보를 제공합니다.
Author경상남도 밀양시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15034921

Alerts

데이터 기준일자 has constant value ""Constant
전화번호 has 75 (15.2%) missing valuesMissing
팩스번호 has 65 (13.2%) missing valuesMissing
종업원수 has 39 (7.9%) zerosZeros

Reproduction

Analysis started2024-03-13 00:12:57.796885
Analysis finished2024-03-13 00:12:58.823837
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct481
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-03-13T09:12:59.031368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.3225152
Min length2

Characters and Unicode

Total characters3610
Distinct characters342
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

Unique470 ?
Unique (%)95.3%

Sample

1st row 농업회사법인(주)대한농수산
2nd row(주)SM
3rd row(주)거명산업
4th row(주)건기
5th row(주)건보산업
ValueCountFrequency (%)
주식회사 36
 
6.5%
농업회사법인 7
 
1.3%
밀양지점 4
 
0.7%
주)케이에스이피 3
 
0.5%
우미세라믹스 2
 
0.4%
용진기계 2
 
0.4%
밀양공장 2
 
0.4%
동밀양농협 2
 
0.4%
태영산업(주 2
 
0.4%
주)한국신소재 2
 
0.4%
Other values (486) 494
88.8%
2024-03-13T09:12:59.357057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 339
 
9.4%
( 300
 
8.3%
) 300
 
8.3%
업 89
 
2.5%
스 85
 
2.4%
이 76
 
2.1%
사 75
 
2.1%
65
 
1.8%
산 63
 
1.7%
에 59
 
1.6%
Other values (332) 2159
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2904
80.4%
Open Punctuation 300
 
8.3%
Close Punctuation 300
 
8.3%
Space Separator 65
 
1.8%
Uppercase Letter 21
 
0.6%
Decimal Number 13
 
0.4%
Dash Punctuation 3
 
0.1%
Other Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 339
 
11.7%
업 89
 
3.1%
스 85
 
2.9%
이 76
 
2.6%
사 75
 
2.6%
산 63
 
2.2%
에 59
 
2.0%
회 57
 
2.0%
공 52
 
1.8%
식 49
 
1.7%
Other values (310) 1960
67.5%
Uppercase Letter
ValueCountFrequency (%)
H 3
14.3%
G 3
14.3%
E 3
14.3%
M 2
9.5%
T 2
9.5%
S 2
9.5%
N 2
9.5%
P 1
 
4.8%
C 1
 
4.8%
A 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 10
76.9%
1 1
 
7.7%
4 1
 
7.7%
3 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 300
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2905
80.5%
Common 684
 
18.9%
Latin 21
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 339
 
11.7%
업 89
 
3.1%
스 85
 
2.9%
이 76
 
2.6%
사 75
 
2.6%
산 63
 
2.2%
에 59
 
2.0%
회 57
 
2.0%
공 52
 
1.8%
식 49
 
1.7%
Other values (311) 1961
67.5%
Latin
ValueCountFrequency (%)
H 3
14.3%
G 3
14.3%
E 3
14.3%
M 2
9.5%
T 2
9.5%
S 2
9.5%
N 2
9.5%
P 1
 
4.8%
C 1
 
4.8%
A 1
 
4.8%
Common
ValueCountFrequency (%)
( 300
43.9%
) 300
43.9%
65
 
9.5%
2 10
 
1.5%
- 3
 
0.4%
& 2
 
0.3%
1 1
 
0.1%
. 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2904
80.4%
ASCII 705
 
19.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 339
 
11.7%
업 89
 
3.1%
스 85
 
2.9%
이 76
 
2.6%
사 75
 
2.6%
산 63
 
2.2%
에 59
 
2.0%
회 57
 
2.0%
공 52
 
1.8%
식 49
 
1.7%
Other values (310) 1960
67.5%
ASCII
ValueCountFrequency (%)
( 300
42.6%
) 300
42.6%
65
 
9.2%
2 10
 
1.4%
- 3
 
0.4%
H 3
 
0.4%
G 3
 
0.4%
E 3
 
0.4%
M 2
 
0.3%
T 2
 
0.3%
Other values (11) 14
 
2.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자명
Text

Distinct451
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-03-13T09:12:59.632567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.2251521
Min length2

Characters and Unicode

Total characters1590
Distinct characters181
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique418 ?
Unique (%)84.8%

Sample

1st row정재동
2nd row김기호
3rd row안석환
4th row김병철
5th row김재선
ValueCountFrequency (%)
이명화 5
 
1.0%
안홍길 4
 
0.8%
최원복 3
 
0.6%
이진광 3
 
0.6%
김병국 3
 
0.6%
조문수 3
 
0.6%
이홍원 3
 
0.6%
윤종국 3
 
0.6%
최재규 3
 
0.6%
신정옥 2
 
0.4%
Other values (451) 476
93.7%
2024-03-13T09:13:00.015603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 107
 
6.7%
정 65
 
4.1%
이 58
 
3.6%
수 43
 
2.7%
박 37
 
2.3%
성 34
 
2.1%
영 32
 
2.0%
호 30
 
1.9%
재 27
 
1.7%
홍 26
 
1.6%
Other values (171) 1131
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1539
96.8%
Other Punctuation 20
 
1.3%
Space Separator 16
 
1.0%
Uppercase Letter 12
 
0.8%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 107
 
7.0%
정 65
 
4.2%
이 58
 
3.8%
수 43
 
2.8%
박 37
 
2.4%
성 34
 
2.2%
영 32
 
2.1%
호 30
 
1.9%
재 27
 
1.8%
홍 26
 
1.7%
Other values (158) 1080
70.2%
Uppercase Letter
ValueCountFrequency (%)
I 2
16.7%
A 2
16.7%
S 2
16.7%
V 1
8.3%
L 1
8.3%
K 1
8.3%
M 1
8.3%
T 1
8.3%
N 1
8.3%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
1 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1539
96.8%
Common 39
 
2.5%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 107
 
7.0%
정 65
 
4.2%
이 58
 
3.8%
수 43
 
2.8%
박 37
 
2.4%
성 34
 
2.2%
영 32
 
2.1%
호 30
 
1.9%
재 27
 
1.8%
홍 26
 
1.7%
Other values (158) 1080
70.2%
Latin
ValueCountFrequency (%)
I 2
16.7%
A 2
16.7%
S 2
16.7%
V 1
8.3%
L 1
8.3%
K 1
8.3%
M 1
8.3%
T 1
8.3%
N 1
8.3%
Common
ValueCountFrequency (%)
, 20
51.3%
16
41.0%
3 2
 
5.1%
1 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1539
96.8%
ASCII 51
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 107
 
7.0%
정 65
 
4.2%
이 58
 
3.8%
수 43
 
2.8%
박 37
 
2.4%
성 34
 
2.2%
영 32
 
2.1%
호 30
 
1.9%
재 27
 
1.8%
홍 26
 
1.7%
Other values (158) 1080
70.2%
ASCII
ValueCountFrequency (%)
, 20
39.2%
16
31.4%
3 2
 
3.9%
I 2
 
3.9%
A 2
 
3.9%
S 2
 
3.9%
V 1
 
2.0%
L 1
 
2.0%
K 1
 
2.0%
M 1
 
2.0%
Other values (3) 3
 
5.9%

주소지
Text

Distinct463
Distinct (%)94.5%
Missing3
Missing (%)0.6%
Memory size4.0 KiB
2024-03-13T09:13:00.264784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length25.02449
Min length8

Characters and Unicode

Total characters12262
Distinct characters146
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

Unique441 ?
Unique (%)90.0%

Sample

1st row경상남도 밀양시 삼랑진읍 삼랑진로 537-22
2nd row경상남도 밀양시 산외면 율전길 87-5
3rd row경상남도 밀양시 무안면 무안로 22-15
4th row경상남도 밀양시 부북면 춘화로 378 외 1필지
5th row경상남도 밀양시 산내면 산내야촌길 96-48
ValueCountFrequency (%)
경상남도 487
 
17.1%
밀양시 487
 
17.1%
외 148
 
5.2%
부북면 112
 
3.9%
삼랑진읍 98
 
3.4%
초동면 69
 
2.4%
하남읍 63
 
2.2%
1필지 60
 
2.1%
상남면 47
 
1.7%
초동농공단지길 46
 
1.6%
Other values (545) 1224
43.1%
2024-03-13T09:13:00.622545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2352
19.2%
남 644
 
5.3%
상 561
 
4.6%
양 532
 
4.3%
도 497
 
4.1%
밀 492
 
4.0%
시 491
 
4.0%
경 487
 
4.0%
1 374
 
3.1%
지 321
 
2.6%
Other values (136) 5511
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7843
64.0%
Space Separator 2352
 
19.2%
Decimal Number 1743
 
14.2%
Dash Punctuation 185
 
1.5%
Close Punctuation 62
 
0.5%
Open Punctuation 62
 
0.5%
Other Punctuation 13
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 644
 
8.2%
상 561
 
7.2%
양 532
 
6.8%
도 497
 
6.3%
밀 492
 
6.3%
시 491
 
6.3%
경 487
 
6.2%
지 321
 
4.1%
면 308
 
3.9%
길 256
 
3.3%
Other values (119) 3254
41.5%
Decimal Number
ValueCountFrequency (%)
1 374
21.5%
2 259
14.9%
3 205
11.8%
4 177
10.2%
5 154
8.8%
8 133
 
7.6%
9 125
 
7.2%
6 117
 
6.7%
0 112
 
6.4%
7 87
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
2352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7843
64.0%
Common 4417
36.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 644
 
8.2%
상 561
 
7.2%
양 532
 
6.8%
도 497
 
6.3%
밀 492
 
6.3%
시 491
 
6.3%
경 487
 
6.2%
지 321
 
4.1%
면 308
 
3.9%
길 256
 
3.3%
Other values (119) 3254
41.5%
Common
ValueCountFrequency (%)
2352
53.2%
1 374
 
8.5%
2 259
 
5.9%
3 205
 
4.6%
- 185
 
4.2%
4 177
 
4.0%
5 154
 
3.5%
8 133
 
3.0%
9 125
 
2.8%
6 117
 
2.6%
Other values (5) 336
 
7.6%
Latin
ValueCountFrequency (%)
T 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7843
64.0%
ASCII 4419
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2352
53.2%
1 374
 
8.5%
2 259
 
5.9%
3 205
 
4.6%
- 185
 
4.2%
4 177
 
4.0%
5 154
 
3.5%
8 133
 
3.0%
9 125
 
2.8%
6 117
 
2.6%
Other values (7) 338
 
7.6%
Hangul
ValueCountFrequency (%)
남 644
 
8.2%
상 561
 
7.2%
양 532
 
6.8%
도 497
 
6.3%
밀 492
 
6.3%
시 491
 
6.3%
경 487
 
6.2%
지 321
 
4.1%
면 308
 
3.9%
길 256
 
3.3%
Other values (119) 3254
41.5%

업종명
Text

Distinct286
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-03-13T09:13:00.904566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length18.182556
Min length5

Characters and Unicode

Total characters8964
Distinct characters257
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

Unique189 ?
Unique (%)38.3%

Sample

1st row일반철물 제조업
2nd row기타 가정용 전기기기 제조업
3rd row구조용 금속 판제품 및 공작물 제조업
4th row구조용 금속 판제품 및 공작물 제조업 외 5 종
5th row플라스틱 창호 제조업
ValueCountFrequency (%)
제조업 425
 
14.2%
외 314
 
10.5%
종 253
 
8.5%
및 188
 
6.3%
1 134
 
4.5%
기타 126
 
4.2%
그 61
 
2.0%
금속 57
 
1.9%
부품 51
 
1.7%
신품 44
 
1.5%
Other values (328) 1334
44.7%
2024-03-13T09:13:01.379213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2494
27.8%
제 559
 
6.2%
조 534
 
6.0%
업 521
 
5.8%
외 318
 
3.5%
종 259
 
2.9%
품 232
 
2.6%
기 231
 
2.6%
및 188
 
2.1%
1 147
 
1.6%
Other values (247) 3481
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6137
68.5%
Space Separator 2494
27.8%
Decimal Number 267
 
3.0%
Other Punctuation 60
 
0.7%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 559
 
9.1%
조 534
 
8.7%
업 521
 
8.5%
외 318
 
5.2%
종 259
 
4.2%
품 232
 
3.8%
기 231
 
3.8%
및 188
 
3.1%
용 146
 
2.4%
타 135
 
2.2%
Other values (232) 3014
49.1%
Decimal Number
ValueCountFrequency (%)
1 147
55.1%
2 40
 
15.0%
3 24
 
9.0%
4 23
 
8.6%
5 12
 
4.5%
8 5
 
1.9%
6 5
 
1.9%
0 4
 
1.5%
9 4
 
1.5%
7 3
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 59
98.3%
· 1
 
1.7%
Space Separator
ValueCountFrequency (%)
2494
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6137
68.5%
Common 2827
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 559
 
9.1%
조 534
 
8.7%
업 521
 
8.5%
외 318
 
5.2%
종 259
 
4.2%
품 232
 
3.8%
기 231
 
3.8%
및 188
 
3.1%
용 146
 
2.4%
타 135
 
2.2%
Other values (232) 3014
49.1%
Common
ValueCountFrequency (%)
2494
88.2%
1 147
 
5.2%
, 59
 
2.1%
2 40
 
1.4%
3 24
 
0.8%
4 23
 
0.8%
5 12
 
0.4%
8 5
 
0.2%
6 5
 
0.2%
0 4
 
0.1%
Other values (5) 14
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6125
68.3%
ASCII 2826
31.5%
Compat Jamo 12
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2494
88.3%
1 147
 
5.2%
, 59
 
2.1%
2 40
 
1.4%
3 24
 
0.8%
4 23
 
0.8%
5 12
 
0.4%
8 5
 
0.2%
6 5
 
0.2%
0 4
 
0.1%
Other values (4) 13
 
0.5%
Hangul
ValueCountFrequency (%)
제 559
 
9.1%
조 534
 
8.7%
업 521
 
8.5%
외 318
 
5.2%
종 259
 
4.2%
품 232
 
3.8%
기 231
 
3.8%
및 188
 
3.1%
용 146
 
2.4%
타 135
 
2.2%
Other values (231) 3002
49.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct378
Distinct (%)90.4%
Missing75
Missing (%)15.2%
Memory size4.0 KiB
2024-03-13T09:13:01.590055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.019139
Min length12

Characters and Unicode

Total characters5024
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

Unique346 ?
Unique (%)82.8%

Sample

1st row055-352-2128
2nd row055-355-7592
3rd row055-351-2264
4th row055-582-5858
5th row055-391-2750
ValueCountFrequency (%)
055-351-0527 4
 
1.0%
055-355-0081 4
 
1.0%
055-391-7270 3
 
0.7%
055-355-6969 3
 
0.7%
055-359-1100 3
 
0.7%
055-352-8888 3
 
0.7%
055-351-3722 2
 
0.5%
055-355-4555 2
 
0.5%
055-351-1851 2
 
0.5%
055-355-0329 2
 
0.5%
Other values (368) 390
93.3%
2024-03-13T09:13:01.937315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1276
25.4%
- 836
16.6%
0 743
14.8%
3 559
11.1%
1 363
 
7.2%
2 235
 
4.7%
9 231
 
4.6%
7 206
 
4.1%
4 203
 
4.0%
8 192
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4188
83.4%
Dash Punctuation 836
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1276
30.5%
0 743
17.7%
3 559
13.3%
1 363
 
8.7%
2 235
 
5.6%
9 231
 
5.5%
7 206
 
4.9%
4 203
 
4.8%
8 192
 
4.6%
6 180
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 836
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1276
25.4%
- 836
16.6%
0 743
14.8%
3 559
11.1%
1 363
 
7.2%
2 235
 
4.7%
9 231
 
4.6%
7 206
 
4.1%
4 203
 
4.0%
8 192
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1276
25.4%
- 836
16.6%
0 743
14.8%
3 559
11.1%
1 363
 
7.2%
2 235
 
4.7%
9 231
 
4.6%
7 206
 
4.1%
4 203
 
4.0%
8 192
 
3.8%

팩스번호
Text

MISSING 

Distinct394
Distinct (%)92.1%
Missing65
Missing (%)13.2%
Memory size4.0 KiB
2024-03-13T09:13:02.160632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.936916
Min length1

Characters and Unicode

Total characters5109
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

Unique366 ?
Unique (%)85.5%

Sample

1st row055-353-9972
2nd row055-352-7956
3rd row055-351-2265
4th row051-582-5863
5th row055-391-2790
ValueCountFrequency (%)
55 4
 
0.9%
055-353-4924 3
 
0.7%
055-355-5973 3
 
0.7%
055-354-2715 3
 
0.7%
055-351-0526 3
 
0.7%
055-352-5605 2
 
0.5%
055-355-2714 2
 
0.5%
055-355-1954 2
 
0.5%
055-359-2649 2
 
0.5%
055-353-3629 2
 
0.5%
Other values (384) 402
93.9%
2024-03-13T09:13:02.472129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1265
24.8%
- 846
16.6%
0 685
13.4%
3 617
12.1%
1 384
 
7.5%
9 248
 
4.9%
2 245
 
4.8%
7 221
 
4.3%
6 220
 
4.3%
4 194
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4263
83.4%
Dash Punctuation 846
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1265
29.7%
0 685
16.1%
3 617
14.5%
1 384
 
9.0%
9 248
 
5.8%
2 245
 
5.7%
7 221
 
5.2%
6 220
 
5.2%
4 194
 
4.6%
8 184
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 846
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5109
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1265
24.8%
- 846
16.6%
0 685
13.4%
3 617
12.1%
1 384
 
7.5%
9 248
 
4.9%
2 245
 
4.8%
7 221
 
4.3%
6 220
 
4.3%
4 194
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1265
24.8%
- 846
16.6%
0 685
13.4%
3 617
12.1%
1 384
 
7.5%
9 248
 
4.9%
2 245
 
4.8%
7 221
 
4.3%
6 220
 
4.3%
4 194
 
3.8%

종업원수
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.953347
Minimum0
Maximum397
Zeros39
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-03-13T09:13:02.587918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8
Q320
95-th percentile79.8
Maximum397
Range397
Interquartile range (IQR)17

Descriptive statistics

Standard deviation37.409835
Coefficient of variation (CV)1.9737852
Kurtosis50.955377
Mean18.953347
Median Absolute Deviation (MAD)6
Skewness6.11542
Sum9344
Variance1399.4958
MonotonicityNot monotonic
2024-03-13T09:13:02.700107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
7.9%
4 39
 
7.9%
5 36
 
7.3%
3 34
 
6.9%
2 31
 
6.3%
6 25
 
5.1%
9 24
 
4.9%
1 22
 
4.5%
11 17
 
3.4%
7 17
 
3.4%
Other values (69) 209
42.4%
ValueCountFrequency (%)
0 39
7.9%
1 22
4.5%
2 31
6.3%
3 34
6.9%
4 39
7.9%
5 36
7.3%
6 25
5.1%
7 17
3.4%
8 13
 
2.6%
9 24
4.9%
ValueCountFrequency (%)
397 1
0.2%
396 1
0.2%
318 1
0.2%
183 1
0.2%
176 1
0.2%
150 1
0.2%
139 1
0.2%
137 1
0.2%
116 1
0.2%
110 1
0.2%

생산품
Text

Distinct453
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-03-13T09:13:02.931467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length27
Mean length9.1176471
Min length2

Characters and Unicode

Total characters4495
Distinct characters459
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

Unique428 ?
Unique (%)86.8%

Sample

1st row금속선반재, 받침대
2nd row온수매트
3rd row스틸그레이팅
4th row지붕자재(패널), 찬넬, 후레싱 외
5th rowPVC창호
ValueCountFrequency (%)
및 24
 
2.6%
등 20
 
2.2%
자동차 19
 
2.1%
부품 18
 
1.9%
자동차부품 12
 
1.3%
외 7
 
0.8%
철구조물 6
 
0.6%
플라스틱 5
 
0.5%
알루미늄 5
 
0.5%
산업기계 5
 
0.5%
Other values (680) 804
86.9%
2024-03-13T09:13:03.292589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
436
 
9.7%
, 219
 
4.9%
기 121
 
2.7%
품 113
 
2.5%
부 96
 
2.1%
자 89
 
2.0%
차 79
 
1.8%
스 78
 
1.7%
용 73
 
1.6%
동 72
 
1.6%
Other values (449) 3119
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3604
80.2%
Space Separator 436
 
9.7%
Other Punctuation 230
 
5.1%
Uppercase Letter 144
 
3.2%
Close Punctuation 28
 
0.6%
Open Punctuation 28
 
0.6%
Lowercase Letter 13
 
0.3%
Decimal Number 9
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 121
 
3.4%
품 113
 
3.1%
부 96
 
2.7%
자 89
 
2.5%
차 79
 
2.2%
스 78
 
2.2%
용 73
 
2.0%
동 72
 
2.0%
조 64
 
1.8%
재 62
 
1.7%
Other values (401) 2757
76.5%
Uppercase Letter
ValueCountFrequency (%)
P 18
12.5%
C 16
11.1%
L 11
 
7.6%
E 11
 
7.6%
I 10
 
6.9%
T 10
 
6.9%
A 9
 
6.2%
R 8
 
5.6%
D 7
 
4.9%
O 6
 
4.2%
Other values (13) 38
26.4%
Lowercase Letter
ValueCountFrequency (%)
s 3
23.1%
o 2
15.4%
e 2
15.4%
y 1
 
7.7%
f 1
 
7.7%
t 1
 
7.7%
h 1
 
7.7%
a 1
 
7.7%
g 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 219
95.2%
/ 4
 
1.7%
. 3
 
1.3%
# 2
 
0.9%
' 1
 
0.4%
· 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
3 3
33.3%
0 2
22.2%
1 1
 
11.1%
4 1
 
11.1%
2 1
 
11.1%
6 1
 
11.1%
Space Separator
ValueCountFrequency (%)
436
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3604
80.2%
Common 734
 
16.3%
Latin 157
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 121
 
3.4%
품 113
 
3.1%
부 96
 
2.7%
자 89
 
2.5%
차 79
 
2.2%
스 78
 
2.2%
용 73
 
2.0%
동 72
 
2.0%
조 64
 
1.8%
재 62
 
1.7%
Other values (401) 2757
76.5%
Latin
ValueCountFrequency (%)
P 18
 
11.5%
C 16
 
10.2%
L 11
 
7.0%
E 11
 
7.0%
I 10
 
6.4%
T 10
 
6.4%
A 9
 
5.7%
R 8
 
5.1%
D 7
 
4.5%
O 6
 
3.8%
Other values (22) 51
32.5%
Common
ValueCountFrequency (%)
436
59.4%
, 219
29.8%
) 28
 
3.8%
( 28
 
3.8%
/ 4
 
0.5%
3 3
 
0.4%
- 3
 
0.4%
. 3
 
0.4%
# 2
 
0.3%
0 2
 
0.3%
Other values (6) 6
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3604
80.2%
ASCII 890
 
19.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
436
49.0%
, 219
24.6%
) 28
 
3.1%
( 28
 
3.1%
P 18
 
2.0%
C 16
 
1.8%
L 11
 
1.2%
E 11
 
1.2%
I 10
 
1.1%
T 10
 
1.1%
Other values (37) 103
 
11.6%
Hangul
ValueCountFrequency (%)
기 121
 
3.4%
품 113
 
3.1%
부 96
 
2.7%
자 89
 
2.5%
차 79
 
2.2%
스 78
 
2.2%
용 73
 
2.0%
동 72
 
2.0%
조 64
 
1.8%
재 62
 
1.7%
Other values (401) 2757
76.5%
None
ValueCountFrequency (%)
· 1
100.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-08-31
493 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-31
2nd row2023-08-31
3rd row2023-08-31
4th row2023-08-31
5th row2023-08-31

Common Values

ValueCountFrequency (%)
2023-08-31 493
100.0%

Length

2024-03-13T09:13:03.424065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:13:03.501569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 493
100.0%

Interactions

2024-03-13T09:12:58.390371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-13T09:12:58.536905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:12:58.655378image/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.
2024-03-13T09:12:58.752609image/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

회사명대표자명주소지업종명전화번호팩스번호종업원수생산품데이터 기준일자
0농업회사법인(주)대한농수산정재동경상남도 밀양시 삼랑진읍 삼랑진로 537-22일반철물 제조업<NA><NA>11금속선반재, 받침대2023-08-31
1(주)SM김기호경상남도 밀양시 산외면 율전길 87-5기타 가정용 전기기기 제조업055-352-2128055-353-997211온수매트2023-08-31
2(주)거명산업안석환경상남도 밀양시 무안면 무안로 22-15구조용 금속 판제품 및 공작물 제조업055-355-7592055-352-79564스틸그레이팅2023-08-31
3(주)건기김병철경상남도 밀양시 부북면 춘화로 378 외 1필지구조용 금속 판제품 및 공작물 제조업 외 5 종055-351-2264055-351-226522지붕자재(패널), 찬넬, 후레싱 외2023-08-31
4(주)건보산업김재선경상남도 밀양시 산내면 산내야촌길 96-48플라스틱 창호 제조업055-582-5858051-582-586316PVC창호2023-08-31
5(주)건화오근화경상남도 밀양시 초동면 초동농공단지길 24-10플라스틱 선, 봉, 관 및 호스 제조업 외 1 종055-391-2750055-391-27908상하수도관,이중벽하수관2023-08-31
6(주)경남테크홍명표경상남도 밀양시 상남면 조음로 108배전반 및 전기 자동제어반 제조업<NA>053-352-50184가로등 및 보안등 자동제어기2023-08-31
7(주)경일지엠씨장명수경상남도 밀양시 부북면 춘화농공단지길 12-30자동차용 신품 동력전달장치 제조업 외 39 종055-354-0558055-354-055234자동차동력전달장치, 유압부품2023-08-31
8(주)고벨엠엔에스전성환경상남도 밀양시 초동면 초동농공단지길 52기타 물품 취급장비 제조업055-265-5545055-265-55469크레인, 전기판넬,윈치,무구동레일2023-08-31
9(주)공간파크이승일경상남도 밀양시 삼랑진읍 율동리 197-16번지구조용 금속 판제품 및 공작물 제조업 외 4 종055-353-4722055-353-472319야외운동기구, 차양, 목재판재,분사제2023-08-31
회사명대표자명주소지업종명전화번호팩스번호종업원수생산품데이터 기준일자
483형제요업홍정식경상남도 밀양시 부북면 사포로 452정형 내화 요업제품 제조업 외 1 종055-354-0025550세라믹벽돌,세라믹팩2023-08-31
484호진산업(주)이수용경상남도 밀양시 삼랑진읍 용전산업단지길 89그 외 기타 분류 안된 비금속 광물제품 제조업 외 3 종055-352-5366055-352-536923제강용 부자재2023-08-31
485혹스인더스트리 주식회사장수연경상남도 밀양시 삼랑진읍 단장로 61 외 1필지기타 플라스틱 발포 성형제품 제조업055-343-1331055-351-18034고밀도 우레탄 블럭2023-08-31
486홍스틸(주)밀양공장김채홍경상남도 밀양시 부북면 사포산단1길 90-34, 홍스틸(주) 밀양공장금속 단조제품 제조업 외 4 종055-356-4161055-356-916222자동차 부품 외2023-08-31
487화 세라믹스김종호경상남도 밀양시 상남면 이연1길 23-26 외 1필지그 외 기타 전자부품 제조업 외 1 종055-356-6318<NA>5반도체 장비부품2023-08-31
488화성스텐윤명식경상남도 밀양시 삼랑진읍 미전농공단지길 41그 외 기타 분류 안된 금속 가공 제품 제조업 외 5 종055-351-3189<NA>0자동차부품 및 스텐레스 등2023-08-31
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