Overview

Dataset statistics

Number of variables8
Number of observations95
Missing cells7
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory67.4 B

Variable types

Numeric2
Text5
Categorical1

Dataset

Description진주시 기업(공장) 현황 정보에 대한 상세 내역입니다. 단지명, 회사명, 공장대표 주소, 전화번호, 업종명 등을 제공
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3068407

Alerts

단지명 has constant value ""Constant
전화번호 has 7 (7.4%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:47:27.488542
Analysis finished2023-12-11 00:47:28.746568
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-11T09:47:28.822188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2023-12-11T09:47:28.951929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%

회사명
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-11T09:47:29.225986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.3157895
Min length2

Characters and Unicode

Total characters600
Distinct characters148
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st row(주)가야데이터
2nd row(주)경남특장차
3rd row(주)금성이노텍
4th row(주)금아하이드파워
5th row(주)기남산업
ValueCountFrequency (%)
주)애니항공 2
 
2.0%
주)성광 2
 
2.0%
주)가야데이터 1
 
1.0%
동이정공 1
 
1.0%
영지테크 1
 
1.0%
엠피에스(주 1
 
1.0%
엠티디아이(주)경남지사 1
 
1.0%
에어로 1
 
1.0%
에스피 1
 
1.0%
에스앤에스밸브(주 1
 
1.0%
Other values (89) 89
88.1%
2023-12-11T09:47:29.580748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 54
 
9.0%
( 49
 
8.2%
) 49
 
8.2%
공 26
 
4.3%
업 20
 
3.3%
정 19
 
3.2%
성 13
 
2.2%
산 13
 
2.2%
이 12
 
2.0%
크 12
 
2.0%
Other values (138) 333
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
79.7%
Open Punctuation 49
 
8.2%
Close Punctuation 49
 
8.2%
Space Separator 7
 
1.2%
Uppercase Letter 7
 
1.2%
Lowercase Letter 7
 
1.2%
Decimal Number 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 54
 
11.3%
공 26
 
5.4%
업 20
 
4.2%
정 19
 
4.0%
성 13
 
2.7%
산 13
 
2.7%
이 12
 
2.5%
크 12
 
2.5%
테 12
 
2.5%
대 11
 
2.3%
Other values (120) 286
59.8%
Lowercase Letter
ValueCountFrequency (%)
h 1
14.3%
c 1
14.3%
e 1
14.3%
t 1
14.3%
l 1
14.3%
u 1
14.3%
o 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 2
28.6%
E 1
14.3%
G 1
14.3%
T 1
14.3%
C 1
14.3%
S 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
79.7%
Common 108
 
18.0%
Latin 14
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 54
 
11.3%
공 26
 
5.4%
업 20
 
4.2%
정 19
 
4.0%
성 13
 
2.7%
산 13
 
2.7%
이 12
 
2.5%
크 12
 
2.5%
테 12
 
2.5%
대 11
 
2.3%
Other values (120) 286
59.8%
Latin
ValueCountFrequency (%)
N 2
14.3%
E 1
 
7.1%
G 1
 
7.1%
T 1
 
7.1%
C 1
 
7.1%
h 1
 
7.1%
c 1
 
7.1%
e 1
 
7.1%
t 1
 
7.1%
l 1
 
7.1%
Other values (3) 3
21.4%
Common
ValueCountFrequency (%)
( 49
45.4%
) 49
45.4%
7
 
6.5%
2 2
 
1.9%
1 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
79.7%
ASCII 122
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 54
 
11.3%
공 26
 
5.4%
업 20
 
4.2%
정 19
 
4.0%
성 13
 
2.7%
산 13
 
2.7%
이 12
 
2.5%
크 12
 
2.5%
테 12
 
2.5%
대 11
 
2.3%
Other values (120) 286
59.8%
ASCII
ValueCountFrequency (%)
( 49
40.2%
) 49
40.2%
7
 
5.7%
N 2
 
1.6%
2 2
 
1.6%
E 1
 
0.8%
G 1
 
0.8%
1 1
 
0.8%
T 1
 
0.8%
C 1
 
0.8%
Other values (8) 8
 
6.6%

단지명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
진주정촌일반산업단지
95 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진주정촌일반산업단지 95
100.0%

Length

2023-12-11T09:47:29.719915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:47:29.814834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진주정촌일반산업단지 95
100.0%

전화번호
Text

MISSING 

Distinct82
Distinct (%)93.2%
Missing7
Missing (%)7.4%
Memory size892.0 B
2023-12-11T09:47:30.020949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.034091
Min length12

Characters and Unicode

Total characters1059
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

Unique76 ?
Unique (%)86.4%

Sample

1st row055-790-9598
2nd row055-757-1683
3rd row055-762-8331
4th row055-754-9320
5th row055-763-0619
ValueCountFrequency (%)
055-759-1461 2
 
2.3%
055-758-7766 2
 
2.3%
055-753-8822 2
 
2.3%
055-762-8385 2
 
2.3%
055-762-8613 2
 
2.3%
055-762-3690 2
 
2.3%
055-761-6687 1
 
1.1%
055-855-2070 1
 
1.1%
055-763-3805 1
 
1.1%
055-763-4355 1
 
1.1%
Other values (72) 72
81.8%
2023-12-11T09:47:30.443786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 255
24.1%
- 176
16.6%
0 155
14.6%
7 121
11.4%
6 67
 
6.3%
2 56
 
5.3%
1 53
 
5.0%
3 50
 
4.7%
8 50
 
4.7%
4 42
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 883
83.4%
Dash Punctuation 176
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 255
28.9%
0 155
17.6%
7 121
13.7%
6 67
 
7.6%
2 56
 
6.3%
1 53
 
6.0%
3 50
 
5.7%
8 50
 
5.7%
4 42
 
4.8%
9 34
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1059
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 255
24.1%
- 176
16.6%
0 155
14.6%
7 121
11.4%
6 67
 
6.3%
2 56
 
5.3%
1 53
 
5.0%
3 50
 
4.7%
8 50
 
4.7%
4 42
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 255
24.1%
- 176
16.6%
0 155
14.6%
7 121
11.4%
6 67
 
6.3%
2 56
 
5.3%
1 53
 
5.0%
3 50
 
4.7%
8 50
 
4.7%
4 42
 
4.0%

종업원수
Real number (ℝ)

Distinct43
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.821053
Minimum1
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-11T09:47:30.610814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median11
Q329
95-th percentile95.9
Maximum440
Range439
Interquartile range (IQR)24

Descriptive statistics

Standard deviation52.186038
Coefficient of variation (CV)1.8757751
Kurtosis42.161607
Mean27.821053
Median Absolute Deviation (MAD)8
Skewness5.777338
Sum2643
Variance2723.3825
MonotonicityNot monotonic
2023-12-11T09:47:30.744325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
5 9
 
9.5%
4 8
 
8.4%
3 7
 
7.4%
9 5
 
5.3%
23 4
 
4.2%
11 4
 
4.2%
20 4
 
4.2%
10 4
 
4.2%
7 3
 
3.2%
1 3
 
3.2%
Other values (33) 44
46.3%
ValueCountFrequency (%)
1 3
 
3.2%
2 1
 
1.1%
3 7
7.4%
4 8
8.4%
5 9
9.5%
6 3
 
3.2%
7 3
 
3.2%
8 1
 
1.1%
9 5
5.3%
10 4
4.2%
ValueCountFrequency (%)
440 1
1.1%
180 1
1.1%
119 1
1.1%
110 1
1.1%
98 1
1.1%
95 1
1.1%
90 1
1.1%
85 1
1.1%
65 1
1.1%
62 1
1.1%

생산품
Text

Distinct76
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-11T09:47:30.919136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length23
Mean length10.515789
Min length2

Characters and Unicode

Total characters999
Distinct characters175
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

Unique69 ?
Unique (%)72.6%

Sample

1st row반도체메모리스토리지시스템
2nd row특장차
3rd row자동차부품(기어,샤프트)
4th rowKAAV 구난 위치 창정비, 전술모의 장비 등
5th row자동차부품
ValueCountFrequency (%)
자동차부품 13
 
7.6%
및 12
 
7.0%
자동차 11
 
6.4%
등 9
 
5.3%
부품 5
 
2.9%
농기계부품 5
 
2.9%
항공기부품 5
 
2.9%
샤프트 5
 
2.9%
기어 4
 
2.3%
중장비 4
 
2.3%
Other values (91) 98
57.3%
2023-12-11T09:47:31.245370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
 
7.8%
품 66
 
6.6%
부 63
 
6.3%
기 55
 
5.5%
, 53
 
5.3%
자 37
 
3.7%
차 37
 
3.7%
동 37
 
3.7%
프 21
 
2.1%
계 19
 
1.9%
Other values (165) 533
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 803
80.4%
Space Separator 78
 
7.8%
Other Punctuation 53
 
5.3%
Uppercase Letter 35
 
3.5%
Close Punctuation 14
 
1.4%
Open Punctuation 14
 
1.4%
Decimal Number 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 66
 
8.2%
부 63
 
7.8%
기 55
 
6.8%
자 37
 
4.6%
차 37
 
4.6%
동 37
 
4.6%
프 21
 
2.6%
계 19
 
2.4%
어 18
 
2.2%
공 17
 
2.1%
Other values (144) 433
53.9%
Uppercase Letter
ValueCountFrequency (%)
A 4
11.4%
T 3
8.6%
S 3
8.6%
O 3
8.6%
K 3
8.6%
C 3
8.6%
E 3
8.6%
D 3
8.6%
R 2
 
5.7%
L 2
 
5.7%
Other values (5) 6
17.1%
Space Separator
ValueCountFrequency (%)
78
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 803
80.4%
Common 161
 
16.1%
Latin 35
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 66
 
8.2%
부 63
 
7.8%
기 55
 
6.8%
자 37
 
4.6%
차 37
 
4.6%
동 37
 
4.6%
프 21
 
2.6%
계 19
 
2.4%
어 18
 
2.2%
공 17
 
2.1%
Other values (144) 433
53.9%
Latin
ValueCountFrequency (%)
A 4
11.4%
T 3
8.6%
S 3
8.6%
O 3
8.6%
K 3
8.6%
C 3
8.6%
E 3
8.6%
D 3
8.6%
R 2
 
5.7%
L 2
 
5.7%
Other values (5) 6
17.1%
Common
ValueCountFrequency (%)
78
48.4%
, 53
32.9%
) 14
 
8.7%
( 14
 
8.7%
2 1
 
0.6%
- 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 803
80.4%
ASCII 196
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
39.8%
, 53
27.0%
) 14
 
7.1%
( 14
 
7.1%
A 4
 
2.0%
T 3
 
1.5%
S 3
 
1.5%
O 3
 
1.5%
K 3
 
1.5%
C 3
 
1.5%
Other values (11) 18
 
9.2%
Hangul
ValueCountFrequency (%)
품 66
 
8.2%
부 63
 
7.8%
기 55
 
6.8%
자 37
 
4.6%
차 37
 
4.6%
동 37
 
4.6%
프 21
 
2.6%
계 19
 
2.4%
어 18
 
2.2%
공 17
 
2.1%
Other values (144) 433
53.9%

공장대표주소
Text

Distinct67
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-11T09:47:31.448332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length23.757895
Min length19

Characters and Unicode

Total characters2257
Distinct characters60
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

Unique54 ?
Unique (%)56.8%

Sample

1st row경상남도 진주시 정촌면 연꽃로165번길 5
2nd row경상남도 진주시 정촌면 연꽃로165번길 7
3rd row경상남도 진주시 정촌면 산업로 21
4th row경상남도 진주시 정촌면 산업로79번길 6
5th row경상남도 진주시 정촌면 산업로 86
ValueCountFrequency (%)
정촌면 98
19.3%
경상남도 95
18.7%
진주시 95
18.7%
연꽃로145번길 25
 
4.9%
산업로 20
 
3.9%
연꽃로 18
 
3.5%
산업로79번길 8
 
1.6%
산업로111번길 7
 
1.4%
15 7
 
1.4%
산단중앙로 5
 
1.0%
Other values (70) 130
25.6%
2023-12-11T09:47:31.809562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
413
18.3%
1 105
 
4.7%
정 100
 
4.4%
촌 100
 
4.4%
면 98
 
4.3%
주 97
 
4.3%
상 95
 
4.2%
경 95
 
4.2%
시 95
 
4.2%
진 95
 
4.2%
Other values (50) 964
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1411
62.5%
Space Separator 413
 
18.3%
Decimal Number 382
 
16.9%
Dash Punctuation 15
 
0.7%
Open Punctuation 15
 
0.7%
Close Punctuation 15
 
0.7%
Uppercase Letter 4
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 100
 
7.1%
촌 100
 
7.1%
면 98
 
6.9%
주 97
 
6.9%
상 95
 
6.7%
경 95
 
6.7%
시 95
 
6.7%
진 95
 
6.7%
도 95
 
6.7%
남 95
 
6.7%
Other values (31) 446
31.6%
Decimal Number
ValueCountFrequency (%)
1 105
27.5%
5 61
16.0%
4 57
14.9%
2 44
11.5%
9 26
 
6.8%
0 26
 
6.8%
3 22
 
5.8%
7 19
 
5.0%
8 13
 
3.4%
6 9
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
L 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1411
62.5%
Common 842
37.3%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 100
 
7.1%
촌 100
 
7.1%
면 98
 
6.9%
주 97
 
6.9%
상 95
 
6.7%
경 95
 
6.7%
시 95
 
6.7%
진 95
 
6.7%
도 95
 
6.7%
남 95
 
6.7%
Other values (31) 446
31.6%
Common
ValueCountFrequency (%)
413
49.0%
1 105
 
12.5%
5 61
 
7.2%
4 57
 
6.8%
2 44
 
5.2%
9 26
 
3.1%
0 26
 
3.1%
3 22
 
2.6%
7 19
 
2.3%
- 15
 
1.8%
Other values (6) 54
 
6.4%
Latin
ValueCountFrequency (%)
S 2
50.0%
L 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1411
62.5%
ASCII 846
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
413
48.8%
1 105
 
12.4%
5 61
 
7.2%
4 57
 
6.7%
2 44
 
5.2%
9 26
 
3.1%
0 26
 
3.1%
3 22
 
2.6%
7 19
 
2.2%
- 15
 
1.8%
Other values (9) 58
 
6.9%
Hangul
ValueCountFrequency (%)
정 100
 
7.1%
촌 100
 
7.1%
면 98
 
6.9%
주 97
 
6.9%
상 95
 
6.7%
경 95
 
6.7%
시 95
 
6.7%
진 95
 
6.7%
도 95
 
6.7%
남 95
 
6.7%
Other values (31) 446
31.6%

업종명
Text

Distinct48
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-11T09:47:32.034233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length17.263158
Min length7

Characters and Unicode

Total characters1640
Distinct characters106
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

Unique34 ?
Unique (%)35.8%

Sample

1st row컴퓨터 제조업 외 1 종
2nd row차체 및 특장차 제조업 외 1 종
3rd row자동차용 신품 동력전달장치 제조업 외 4 종
4th row육상 금속 골조 구조재 제조업 외 3 종
5th row유압기기 제조업 외 1 종
ValueCountFrequency (%)
제조업 65
 
12.4%
외 57
 
10.8%
및 54
 
10.3%
종 50
 
9.5%
절삭가공 29
 
5.5%
유사처리업 29
 
5.5%
신품 18
 
3.4%
부품 17
 
3.2%
1 15
 
2.9%
2 11
 
2.1%
Other values (68) 181
34.4%
2023-12-11T09:47:32.400638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
431
26.3%
업 109
 
6.6%
조 73
 
4.5%
제 65
 
4.0%
외 57
 
3.5%
및 54
 
3.3%
종 50
 
3.0%
품 41
 
2.5%
기 41
 
2.5%
공 35
 
2.1%
Other values (96) 684
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1152
70.2%
Space Separator 431
 
26.3%
Decimal Number 52
 
3.2%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 109
 
9.5%
조 73
 
6.3%
제 65
 
5.6%
외 57
 
4.9%
및 54
 
4.7%
종 50
 
4.3%
품 41
 
3.6%
기 41
 
3.6%
공 35
 
3.0%
용 35
 
3.0%
Other values (87) 592
51.4%
Decimal Number
ValueCountFrequency (%)
1 16
30.8%
2 12
23.1%
3 9
17.3%
4 7
13.5%
5 6
 
11.5%
8 1
 
1.9%
6 1
 
1.9%
Space Separator
ValueCountFrequency (%)
431
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1152
70.2%
Common 488
29.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 109
 
9.5%
조 73
 
6.3%
제 65
 
5.6%
외 57
 
4.9%
및 54
 
4.7%
종 50
 
4.3%
품 41
 
3.6%
기 41
 
3.6%
공 35
 
3.0%
용 35
 
3.0%
Other values (87) 592
51.4%
Common
ValueCountFrequency (%)
431
88.3%
1 16
 
3.3%
2 12
 
2.5%
3 9
 
1.8%
4 7
 
1.4%
5 6
 
1.2%
, 5
 
1.0%
8 1
 
0.2%
6 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1152
70.2%
ASCII 488
29.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
431
88.3%
1 16
 
3.3%
2 12
 
2.5%
3 9
 
1.8%
4 7
 
1.4%
5 6
 
1.2%
, 5
 
1.0%
8 1
 
0.2%
6 1
 
0.2%
Hangul
ValueCountFrequency (%)
업 109
 
9.5%
조 73
 
6.3%
제 65
 
5.6%
외 57
 
4.9%
및 54
 
4.7%
종 50
 
4.3%
품 41
 
3.6%
기 41
 
3.6%
공 35
 
3.0%
용 35
 
3.0%
Other values (87) 592
51.4%

Interactions

2023-12-11T09:47:28.408148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:47:28.238142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:47:28.479663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:47:28.328430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:47:32.517542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명전화번호종업원수생산품공장대표주소업종명
순번1.0001.0000.9540.0000.0000.7560.000
회사명1.0001.0001.0001.0001.0001.0001.000
전화번호0.9541.0001.0000.8580.4840.9950.990
종업원수0.0001.0000.8581.0000.0000.9960.869
생산품0.0001.0000.4840.0001.0000.0000.987
공장대표주소0.7561.0000.9950.9960.0001.0000.976
업종명0.0001.0000.9900.8690.9870.9761.000
2023-12-11T09:47:32.712808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.000-0.151
종업원수-0.1511.000

Missing values

2023-12-11T09:47:28.578373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:47:28.701159image/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

순번회사명단지명전화번호종업원수생산품공장대표주소업종명
01(주)가야데이터진주정촌일반산업단지055-790-95989반도체메모리스토리지시스템경상남도 진주시 정촌면 연꽃로165번길 5컴퓨터 제조업 외 1 종
12(주)경남특장차진주정촌일반산업단지055-757-168320특장차경상남도 진주시 정촌면 연꽃로165번길 7차체 및 특장차 제조업 외 1 종
23(주)금성이노텍진주정촌일반산업단지055-762-833123자동차부품(기어,샤프트)경상남도 진주시 정촌면 산업로 21자동차용 신품 동력전달장치 제조업 외 4 종
34(주)금아하이드파워진주정촌일반산업단지055-754-93205KAAV 구난 위치 창정비, 전술모의 장비 등경상남도 진주시 정촌면 산업로79번길 6육상 금속 골조 구조재 제조업 외 3 종
45(주)기남산업진주정촌일반산업단지055-763-061931자동차부품경상남도 진주시 정촌면 산업로 86유압기기 제조업 외 1 종
56(주)남경정밀진주정촌일반산업단지055-757-405029자동차부품경상남도 진주시 정촌면 연꽃로 117그 외 자동차용 신품 부품 제조업 외 4 종
67(주)대덕진주정촌일반산업단지055-758-882422자동차부품경상남도 진주시 정촌면 연꽃로145번길 40-15절삭가공 및 유사처리업
78(주)대명엔지니어링진주정촌일반산업단지055-850-1000119항공기부품경상남도 진주시 정촌면 산업로 124유인 항공기, 항공우주선 및 보조장치 제조업 외 3 종
89(주)대산금속진주정촌일반산업단지055-757-09665허브베어링경상남도 진주시 정촌면 연꽃로145번길 24자동차용 신품 동력전달장치 제조업 외 1 종
910(주)동명강철진주정촌일반산업단지055-753-88222환봉절단품경상남도 진주시 정촌면 산업로 94절삭가공 및 유사처리업
순번회사명단지명전화번호종업원수생산품공장대표주소업종명
8586하나로테크(주)진주정촌일반산업단지055-794-100160중장비 부품(YOKE, TRACK-GUARD)경상남도 진주시 정촌면 산업로111번길 17건설 및 채광용 기계장비 제조업 외 3 종
8687하이즈항공(주)진주정촌일반산업단지055-850-8800440항공기부품경상남도 진주시 정촌면 산업로111번길 18 (총 2 필지)항공기용 부품 제조업
8788한성ENG진주정촌일반산업단지055-752-46955자동차부품경상남도 진주시 정촌면 연꽃로145번길 24절삭가공 및 유사처리업
8889한성기계(주)진주정촌일반산업단지055-755-742298차동기어케이스, 샤프트경상남도 진주시 정촌면 산업로79번길 15 (총 2 필지)농업 및 임업용 기계 제조업 외 2 종
8990한성정공진주정촌일반산업단지055-753-38844자동차부품(디프케이스)경상남도 진주시 정촌면 산업로79번길 15절삭가공 및 유사처리업
9091한양정공(주)진주정촌일반산업단지055-754-919118방산,공작기계부품경상남도 진주시 정촌면 연꽃로 111절삭가공 및 유사처리업 외 2 종
9192현대위아휴먼테크진주정촌일반산업단지055-757-73665자동차부품,항공기부품경상남도 진주시 정촌면 연꽃로145번길 42절삭가공 및 유사처리업
9293현주산업진주정촌일반산업단지055-762-722028자동차, 농기계부품경상남도 진주시 정촌면 산업로 30절삭가공 및 유사처리업 외 3 종
9394호암정공진주정촌일반산업단지<NA>6액체펌프, 자동차부품, 농기계부품 등경상남도 진주시 정촌면 산업로 94그 외 자동차용 신품 부품 제조업 외 4 종
9495화진철강공업사진주정촌일반산업단지055-755-22201건축잡철물경상남도 진주시 정촌면 산업로 24육상 금속 골조 구조재 제조업 외 1 종