Overview

Dataset statistics

Number of variables8
Number of observations72
Missing cells32
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory66.8 B

Variable types

Numeric1
Text7

Dataset

Description남해군에 등록된 제조업공장 현황자료 입니다. 회사명, 대표자명, 공장대표주소지, 연락처(전화번호, 팩스번호), 업종명, 생상품의 정보를 포함하고 있습니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15034918

Alerts

전화번호 has 13 (18.1%) missing valuesMissing
팩스번호 has 18 (25.0%) missing valuesMissing
생산품 has 1 (1.4%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:13:26.052103
Analysis finished2023-12-10 23:13:27.453186
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-11T08:13:27.543370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118.75
median36.5
Q354.25
95-th percentile68.45
Maximum72
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.57338218
Kurtosis-1.2
Mean36.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2628
Variance438
MonotonicityStrictly increasing
2023-12-11T08:13:27.710412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
38 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%

회사명
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T08:13:27.952545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.0138889
Min length4

Characters and Unicode

Total characters577
Distinct characters164
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)100.0%

Sample

1st row(재)남해마늘연구소
2nd row(주)금산
3rd row(주)금산전기
4th row(주)창남조선
5th row(주)케이씨박스
ValueCountFrequency (%)
주식회사 5
 
5.8%
농업회사법인 3
 
3.5%
재)남해마늘연구소 1
 
1.2%
수정영어조합법인 1
 
1.2%
서창선간이수리소 1
 
1.2%
식품가공공장 1
 
1.2%
새남해농협 1
 
1.2%
우도식품 1
 
1.2%
비에이치에스(bhs 1
 
1.2%
미조조선소 1
 
1.2%
Other values (70) 70
81.4%
2023-12-11T08:13:28.330820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 24
 
4.2%
남 22
 
3.8%
해 20
 
3.5%
식 18
 
3.1%
인 18
 
3.1%
주 18
 
3.1%
사 17
 
2.9%
합 17
 
2.9%
법 16
 
2.8%
15
 
2.6%
Other values (154) 392
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 528
91.5%
Space Separator 15
 
2.6%
Open Punctuation 14
 
2.4%
Close Punctuation 14
 
2.4%
Uppercase Letter 3
 
0.5%
Decimal Number 2
 
0.3%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 24
 
4.5%
남 22
 
4.2%
해 20
 
3.8%
식 18
 
3.4%
인 18
 
3.4%
주 18
 
3.4%
사 17
 
3.2%
합 17
 
3.2%
법 16
 
3.0%
농 15
 
2.8%
Other values (145) 343
65.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
H 1
33.3%
S 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 529
91.7%
Common 45
 
7.8%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 24
 
4.5%
남 22
 
4.2%
해 20
 
3.8%
식 18
 
3.4%
인 18
 
3.4%
주 18
 
3.4%
사 17
 
3.2%
합 17
 
3.2%
법 16
 
3.0%
농 15
 
2.8%
Other values (146) 344
65.0%
Common
ValueCountFrequency (%)
15
33.3%
( 14
31.1%
) 14
31.1%
1 1
 
2.2%
2 1
 
2.2%
Latin
ValueCountFrequency (%)
B 1
33.3%
H 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 528
91.5%
ASCII 48
 
8.3%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 24
 
4.5%
남 22
 
4.2%
해 20
 
3.8%
식 18
 
3.4%
인 18
 
3.4%
주 18
 
3.4%
사 17
 
3.2%
합 17
 
3.2%
법 16
 
3.0%
농 15
 
2.8%
Other values (145) 343
65.0%
ASCII
ValueCountFrequency (%)
15
31.2%
( 14
29.2%
) 14
29.2%
B 1
 
2.1%
H 1
 
2.1%
S 1
 
2.1%
1 1
 
2.1%
2 1
 
2.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자명
Text

Distinct68
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T08:13:28.614985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0555556
Min length3

Characters and Unicode

Total characters220
Distinct characters86
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)90.3%

Sample

1st row장충남
2nd row유성숙
3rd row박춘실
4th row김주숙
5th row이안희
ValueCountFrequency (%)
윤기준 3
 
4.2%
윤진원 2
 
2.8%
배원열 2
 
2.8%
김보숙 1
 
1.4%
지용철 1
 
1.4%
김한옥 1
 
1.4%
박현엽 1
 
1.4%
강인권 1
 
1.4%
김근호 1
 
1.4%
강경자 1
 
1.4%
Other values (58) 58
80.6%
2023-12-11T08:13:28.990617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 14
 
6.4%
윤 8
 
3.6%
이 8
 
3.6%
박 8
 
3.6%
성 8
 
3.6%
정 7
 
3.2%
원 6
 
2.7%
호 6
 
2.7%
기 6
 
2.7%
숙 5
 
2.3%
Other values (76) 144
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
99.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 14
 
6.4%
윤 8
 
3.7%
이 8
 
3.7%
박 8
 
3.7%
성 8
 
3.7%
정 7
 
3.2%
원 6
 
2.7%
호 6
 
2.7%
기 6
 
2.7%
숙 5
 
2.3%
Other values (75) 143
65.3%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 14
 
6.4%
윤 8
 
3.7%
이 8
 
3.7%
박 8
 
3.7%
성 8
 
3.7%
정 7
 
3.2%
원 6
 
2.7%
호 6
 
2.7%
기 6
 
2.7%
숙 5
 
2.3%
Other values (75) 143
65.3%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 14
 
6.4%
윤 8
 
3.7%
이 8
 
3.7%
박 8
 
3.7%
성 8
 
3.7%
정 7
 
3.2%
원 6
 
2.7%
호 6
 
2.7%
기 6
 
2.7%
숙 5
 
2.3%
Other values (75) 143
65.3%
ASCII
ValueCountFrequency (%)
, 1
100.0%

공장대표주소
Text

Distinct68
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T08:13:29.297145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length26.055556
Min length18

Characters and Unicode

Total characters1876
Distinct characters137
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

Unique66 ?
Unique (%)91.7%

Sample

1st row경상남도 남해군 이동면 남해대로 2465-8 (남해마늘연구소)
2nd row경상남도 남해군 고현면 남해대로 3406
3rd row경상남도 남해군 남해읍 화전로 153-5, 아산리 184번지 (KT&G남해지점)
4th row경상남도 남해군 창선면 동부대로 2944 (창남FRP조선소)
5th row경상남도 남해군 고현면 남해대로 3406
ValueCountFrequency (%)
경상남도 72
18.6%
남해군 72
18.6%
고현면 24
 
6.2%
남해대로 19
 
4.9%
남해읍 11
 
2.8%
삼동면 10
 
2.6%
남면 8
 
2.1%
미조면 7
 
1.8%
3406 6
 
1.6%
동부대로 6
 
1.6%
Other values (129) 152
39.3%
2023-12-11T08:13:29.690130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
315
16.8%
남 198
 
10.6%
해 110
 
5.9%
도 73
 
3.9%
군 73
 
3.9%
상 73
 
3.9%
경 72
 
3.8%
면 64
 
3.4%
로 63
 
3.4%
1 56
 
3.0%
Other values (127) 779
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1158
61.7%
Decimal Number 319
 
17.0%
Space Separator 315
 
16.8%
Dash Punctuation 39
 
2.1%
Close Punctuation 15
 
0.8%
Open Punctuation 15
 
0.8%
Other Punctuation 8
 
0.4%
Uppercase Letter 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 198
17.1%
해 110
 
9.5%
도 73
 
6.3%
군 73
 
6.3%
상 73
 
6.3%
경 72
 
6.2%
면 64
 
5.5%
로 63
 
5.4%
대 36
 
3.1%
동 27
 
2.3%
Other values (104) 369
31.9%
Decimal Number
ValueCountFrequency (%)
1 56
17.6%
3 49
15.4%
4 41
12.9%
2 35
11.0%
6 32
10.0%
0 30
9.4%
8 22
 
6.9%
5 21
 
6.6%
7 17
 
5.3%
9 16
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
14.3%
G 1
14.3%
T 1
14.3%
F 1
14.3%
R 1
14.3%
P 1
14.3%
K 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1158
61.7%
Common 711
37.9%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 198
17.1%
해 110
 
9.5%
도 73
 
6.3%
군 73
 
6.3%
상 73
 
6.3%
경 72
 
6.2%
면 64
 
5.5%
로 63
 
5.4%
대 36
 
3.1%
동 27
 
2.3%
Other values (104) 369
31.9%
Common
ValueCountFrequency (%)
315
44.3%
1 56
 
7.9%
3 49
 
6.9%
4 41
 
5.8%
- 39
 
5.5%
2 35
 
4.9%
6 32
 
4.5%
0 30
 
4.2%
8 22
 
3.1%
5 21
 
3.0%
Other values (6) 71
 
10.0%
Latin
ValueCountFrequency (%)
A 1
14.3%
G 1
14.3%
T 1
14.3%
F 1
14.3%
R 1
14.3%
P 1
14.3%
K 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1158
61.7%
ASCII 718
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
315
43.9%
1 56
 
7.8%
3 49
 
6.8%
4 41
 
5.7%
- 39
 
5.4%
2 35
 
4.9%
6 32
 
4.5%
0 30
 
4.2%
8 22
 
3.1%
5 21
 
2.9%
Other values (13) 78
 
10.9%
Hangul
ValueCountFrequency (%)
남 198
17.1%
해 110
 
9.5%
도 73
 
6.3%
군 73
 
6.3%
상 73
 
6.3%
경 72
 
6.2%
면 64
 
5.5%
로 63
 
5.4%
대 36
 
3.1%
동 27
 
2.3%
Other values (104) 369
31.9%

전화번호
Text

MISSING 

Distinct57
Distinct (%)96.6%
Missing13
Missing (%)18.1%
Memory size708.0 B
2023-12-11T08:13:29.909502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters708
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

Unique55 ?
Unique (%)93.2%

Sample

1st row055-860-8948
2nd row055-863-3389
3rd row055-867-5050
4th row055-863-5588
5th row055-864-2002
ValueCountFrequency (%)
055-864-0882 2
 
3.4%
055-867-7114 2
 
3.4%
055-863-3599 1
 
1.7%
055-867-2494 1
 
1.7%
055-867-5555 1
 
1.7%
055-863-0414 1
 
1.7%
055-860-8948 1
 
1.7%
055-863-2777 1
 
1.7%
055-863-3440 1
 
1.7%
055-867-7522 1
 
1.7%
Other values (47) 47
79.7%
2023-12-11T08:13:30.258761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 150
21.2%
- 118
16.7%
0 85
12.0%
8 82
11.6%
6 75
10.6%
2 43
 
6.1%
7 41
 
5.8%
3 40
 
5.6%
4 33
 
4.7%
1 25
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 590
83.3%
Dash Punctuation 118
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 150
25.4%
0 85
14.4%
8 82
13.9%
6 75
12.7%
2 43
 
7.3%
7 41
 
6.9%
3 40
 
6.8%
4 33
 
5.6%
1 25
 
4.2%
9 16
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 708
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 150
21.2%
- 118
16.7%
0 85
12.0%
8 82
11.6%
6 75
10.6%
2 43
 
6.1%
7 41
 
5.8%
3 40
 
5.6%
4 33
 
4.7%
1 25
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 708
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 150
21.2%
- 118
16.7%
0 85
12.0%
8 82
11.6%
6 75
10.6%
2 43
 
6.1%
7 41
 
5.8%
3 40
 
5.6%
4 33
 
4.7%
1 25
 
3.5%

팩스번호
Text

MISSING 

Distinct52
Distinct (%)96.3%
Missing18
Missing (%)25.0%
Memory size708.0 B
2023-12-11T08:13:30.474662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters648
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

Unique50 ?
Unique (%)92.6%

Sample

1st row055-860-8945
2nd row055-863-3319
3rd row055-863-1066
4th row055-867-2558
5th row055-863-5584
ValueCountFrequency (%)
055-864-8153 2
 
3.7%
055-867-7515 2
 
3.7%
055-867-0348 1
 
1.9%
055-860-8945 1
 
1.9%
055-863-5333 1
 
1.9%
055-864-0303 1
 
1.9%
055-867-7375 1
 
1.9%
055-863-3441 1
 
1.9%
055-867-4628 1
 
1.9%
055-863-2901 1
 
1.9%
Other values (42) 42
77.8%
2023-12-11T08:13:30.791913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 137
21.1%
- 108
16.7%
8 79
12.2%
0 77
11.9%
6 73
11.3%
3 44
 
6.8%
4 32
 
4.9%
7 32
 
4.9%
2 30
 
4.6%
1 24
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
83.3%
Dash Punctuation 108
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 137
25.4%
8 79
14.6%
0 77
14.3%
6 73
13.5%
3 44
 
8.1%
4 32
 
5.9%
7 32
 
5.9%
2 30
 
5.6%
1 24
 
4.4%
9 12
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 648
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 137
21.1%
- 108
16.7%
8 79
12.2%
0 77
11.9%
6 73
11.3%
3 44
 
6.8%
4 32
 
4.9%
7 32
 
4.9%
2 30
 
4.6%
1 24
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 137
21.1%
- 108
16.7%
8 79
12.2%
0 77
11.9%
6 73
11.3%
3 44
 
6.8%
4 32
 
4.9%
7 32
 
4.9%
2 30
 
4.6%
1 24
 
3.7%

업종명
Text

Distinct44
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-11T08:13:31.024483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23.5
Mean length16.041667
Min length6

Characters and Unicode

Total characters1155
Distinct characters122
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)48.6%

Sample

1st row기타 과실ㆍ채소 가공 및 저장 처리업 외 1 종
2nd row구조용 금속 판제품 및 공작물 제조업
3rd row전동기 및 발전기 제조업
4th row합성수지선 건조업 외 1 종
5th row골판지 제조업 외 1 종
ValueCountFrequency (%)
제조업 43
 
11.7%
및 41
 
11.1%
기타 30
 
8.1%
외 23
 
6.2%
종 20
 
5.4%
가공 16
 
4.3%
저장 16
 
4.3%
처리업 16
 
4.3%
수산동물 14
 
3.8%
과실ㆍ채소 13
 
3.5%
Other values (76) 137
37.1%
2023-12-11T08:13:31.349646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
25.7%
업 73
 
6.3%
조 66
 
5.7%
제 52
 
4.5%
및 41
 
3.5%
기 36
 
3.1%
장 31
 
2.7%
타 30
 
2.6%
품 25
 
2.2%
외 23
 
2.0%
Other values (112) 481
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 834
72.2%
Space Separator 297
 
25.7%
Decimal Number 20
 
1.7%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 73
 
8.8%
조 66
 
7.9%
제 52
 
6.2%
및 41
 
4.9%
기 36
 
4.3%
장 31
 
3.7%
타 30
 
3.6%
품 25
 
3.0%
외 23
 
2.8%
가 22
 
2.6%
Other values (105) 435
52.2%
Decimal Number
ValueCountFrequency (%)
1 13
65.0%
2 4
 
20.0%
3 1
 
5.0%
4 1
 
5.0%
5 1
 
5.0%
Space Separator
ValueCountFrequency (%)
297
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 834
72.2%
Common 321
 
27.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 73
 
8.8%
조 66
 
7.9%
제 52
 
6.2%
및 41
 
4.9%
기 36
 
4.3%
장 31
 
3.7%
타 30
 
3.6%
품 25
 
3.0%
외 23
 
2.8%
가 22
 
2.6%
Other values (105) 435
52.2%
Common
ValueCountFrequency (%)
297
92.5%
1 13
 
4.0%
, 4
 
1.2%
2 4
 
1.2%
3 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 821
71.1%
ASCII 321
 
27.8%
Compat Jamo 13
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
92.5%
1 13
 
4.0%
, 4
 
1.2%
2 4
 
1.2%
3 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
Hangul
ValueCountFrequency (%)
업 73
 
8.9%
조 66
 
8.0%
제 52
 
6.3%
및 41
 
5.0%
기 36
 
4.4%
장 31
 
3.8%
타 30
 
3.7%
품 25
 
3.0%
외 23
 
2.8%
가 22
 
2.7%
Other values (104) 422
51.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
100.0%

생산품
Text

MISSING 

Distinct59
Distinct (%)83.1%
Missing1
Missing (%)1.4%
Memory size708.0 B
2023-12-11T08:13:31.563478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length8.6338028
Min length1

Characters and Unicode

Total characters613
Distinct characters170
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)77.5%

Sample

1st row마늘가공 제품
2nd row휀스
3rd row배전함
4th rowFRP선박 건조
5th row골판지및골판지상자
ValueCountFrequency (%)
멸치액젓 10
 
7.1%
및 10
 
7.1%
수리 6
 
4.3%
흑마늘 5
 
3.5%
건조 5
 
3.5%
합성수지선 3
 
2.1%
깐마늘 2
 
1.4%
선박(목선 2
 
1.4%
레미콘 2
 
1.4%
흑마늘진액 2
 
1.4%
Other values (89) 94
66.7%
2023-12-11T08:13:31.929059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
11.4%
, 33
 
5.4%
마 20
 
3.3%
늘 19
 
3.1%
액 18
 
2.9%
치 17
 
2.8%
수 15
 
2.4%
선 15
 
2.4%
흑 11
 
1.8%
및 11
 
1.8%
Other values (160) 384
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 493
80.4%
Space Separator 70
 
11.4%
Other Punctuation 33
 
5.4%
Close Punctuation 7
 
1.1%
Open Punctuation 7
 
1.1%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 20
 
4.1%
늘 19
 
3.9%
액 18
 
3.7%
치 17
 
3.4%
수 15
 
3.0%
선 15
 
3.0%
흑 11
 
2.2%
및 11
 
2.2%
조 11
 
2.2%
멸 11
 
2.2%
Other values (153) 345
70.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
R 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
70
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 493
80.4%
Common 117
 
19.1%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 20
 
4.1%
늘 19
 
3.9%
액 18
 
3.7%
치 17
 
3.4%
수 15
 
3.0%
선 15
 
3.0%
흑 11
 
2.2%
및 11
 
2.2%
조 11
 
2.2%
멸 11
 
2.2%
Other values (153) 345
70.0%
Common
ValueCountFrequency (%)
70
59.8%
, 33
28.2%
) 7
 
6.0%
( 7
 
6.0%
Latin
ValueCountFrequency (%)
F 1
33.3%
R 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 493
80.4%
ASCII 120
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
58.3%
, 33
27.5%
) 7
 
5.8%
( 7
 
5.8%
F 1
 
0.8%
R 1
 
0.8%
P 1
 
0.8%
Hangul
ValueCountFrequency (%)
마 20
 
4.1%
늘 19
 
3.9%
액 18
 
3.7%
치 17
 
3.4%
수 15
 
3.0%
선 15
 
3.0%
흑 11
 
2.2%
및 11
 
2.2%
조 11
 
2.2%
멸 11
 
2.2%
Other values (153) 345
70.0%

Interactions

2023-12-11T08:13:26.965709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:13:32.051034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명대표자명공장대표주소전화번호팩스번호업종명생산품
순번1.0001.0000.9870.9631.0000.9700.5910.894
회사명1.0001.0001.0001.0001.0001.0001.0001.000
대표자명0.9871.0001.0000.9841.0000.9990.9960.994
공장대표주소0.9631.0000.9841.0000.9770.9730.0000.677
전화번호1.0001.0001.0000.9771.0001.0001.0001.000
팩스번호0.9701.0000.9990.9731.0001.0000.9950.994
업종명0.5911.0000.9960.0001.0000.9951.0000.999
생산품0.8941.0000.9940.6771.0000.9940.9991.000

Missing values

2023-12-11T08:13:27.119084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:13:27.281348image/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.
2023-12-11T08:13:27.392686image/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

순번회사명대표자명공장대표주소전화번호팩스번호업종명생산품
01(재)남해마늘연구소장충남경상남도 남해군 이동면 남해대로 2465-8 (남해마늘연구소)055-860-8948055-860-8945기타 과실ㆍ채소 가공 및 저장 처리업 외 1 종마늘가공 제품
12(주)금산유성숙경상남도 남해군 고현면 남해대로 3406055-863-3389055-863-3319구조용 금속 판제품 및 공작물 제조업휀스
23(주)금산전기박춘실경상남도 남해군 남해읍 화전로 153-5, 아산리 184번지 (KT&G남해지점)<NA>055-863-1066전동기 및 발전기 제조업배전함
34(주)창남조선김주숙경상남도 남해군 창선면 동부대로 2944 (창남FRP조선소)055-867-5050055-867-2558합성수지선 건조업 외 1 종FRP선박 건조
45(주)케이씨박스이안희경상남도 남해군 고현면 남해대로 3406055-863-5588055-863-5584골판지 제조업 외 1 종골판지및골판지상자
56(주)해울림체험마을 영농조합법인채판석경상남도 남해군 창선면 흥선로 1336-35, 해울림 마을기업<NA><NA>건강기능식품 제조업건강기능식품
67㈜어업회사법인 동은식품임수섭경상남도 남해군 삼동면 양화금로 420<NA><NA>수산동물 건조 및 염장품 제조업멸치액젓
78가온누리고성용경상남도 남해군 이동면 남해대로 2364-11055-864-2002055-864-0864기타 과실ㆍ채소 가공 및 저장 처리업흑마늘, 흑마늘 진액
89강훈산업서지수경상남도 남해군 남해읍 남변리 237<NA>055-864-8053기타 구조용 금속제품 제조업건설공사용 가설자재
910거양수산최윤자경상남도 남해군 고현면 대곡리 643-2번지055-864-7922<NA>기타 수산동물 가공 및 저장 처리업수산어류가공(고등어, 꽁치, 조기등)
순번회사명대표자명공장대표주소전화번호팩스번호업종명생산품
6263주식회사 엘에스아이오티김충국경상남도 남해군 남해읍 망운로 27, A동 2층055-864-1190<NA>전자감지장치 제조업온도센서, 수신기
6364주식회사 일백이동한경상남도 남해군 고현면 화방로 51055-862-8675055-862-8676기타 과실ㆍ채소 가공 및 저장 처리업흑마늘즙, 양배추즙
6465주식회사 청남김봉실,최승호경상남도 남해군 고현면 남해대로 3245-9055-864-7321055-864-7325레미콘 제조업 외 1 종레미콘, 아스콘
6566주식회사 하남엔지니어링강철호경상남도 남해군 고현면 오곡리 196-21 제2동055-864-2777055-864-7772산업용 냉장 및 냉동 장비 제조업 외 4 종식물생장 조절실, 히트펌프, 항온항습조
6667주식회사초린원이금선경상남도 남해군 남면 남면로 1534-118 (산지약용작물가공유통센타)055-863-3599055-863-8002기타 곡물 가공품 제조업산양산삼 및 도라지 혼합엑기스
6768진보수산(주)지용철경상남도 남해군 설천면 강진로 694-41055-863-3250<NA>수산동물 냉동품 제조업 외 1 종굴가공품
6869창남조선소김보숙경상남도 남해군 창선면 당항리 34-3번지055-867-5555055-867-5666기타 선박 건조업 외 1 종목선건조 및 수리
6970풍년비닐공업사박현엽경상남도 남해군 고현면 남해대로 3243-6055-863-0121055-863-0151플라스틱 필름 제조업 외 2 종농업용 멀칭비닐, 쓰레기봉투,플라스틱포
7071항촌조선소김한옥경상남도 남해군 남면 남면로1031번길 39-9<NA><NA>기타 선박 건조업목선건조 및 수리
7172해늘찬치즈정철수경상남도 남해군 남면 남서대로 684-4<NA><NA>액상시유 및 기타 낙농제품 제조업치즈, 요구르트