Overview

Dataset statistics

Number of variables8
Number of observations120
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory66.1 B

Variable types

Numeric1
Categorical1
Text5
DateTime1

Dataset

Description전라남도 광양시에 설치되어 있는 여러 산업단지 입주업체의 기본정보 및 현황에 대한 데이터(회사명, 공장대표주소(도로명), 전화번호, 팩스번호, 생산품)를 전국민에게 무료로 제공
Author전라남도 광양시
URLhttps://www.data.go.kr/data/3040444/fileData.do

Alerts

단지명 has constant value ""Constant
데이터기준일 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:43:45.976333
Analysis finished2023-12-23 07:43:49.071607
Duration3.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.5
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-23T07:43:49.586700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q130.75
median60.5
Q390.25
95-th percentile114.05
Maximum120
Range119
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation34.785054
Coefficient of variation (CV)0.57495957
Kurtosis-1.2
Mean60.5
Median Absolute Deviation (MAD)30
Skewness0
Sum7260
Variance1210
MonotonicityStrictly increasing
2023-12-23T07:43:50.444470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
62 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%

단지명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
광양국가산업단지
120 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광양국가산업단지 120
100.0%

Length

2023-12-23T07:43:51.646904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:43:52.219199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광양국가산업단지 120
100.0%

회사명
Text

Distinct116
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-23T07:43:53.121702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length8.6833333
Min length4

Characters and Unicode

Total characters1042
Distinct characters166
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

Unique113 ?
Unique (%)94.2%

Sample

1st row(유)세림상운
2nd row(주) 무창
3rd row(주)거양엔지니어링
4th row(주)광양테크
5th row(주)광희
ValueCountFrequency (%)
광양공장 7
 
4.6%
주)포스코아이씨티 3
 
2.0%
2공장 3
 
2.0%
경남스틸(주 2
 
1.3%
대한시멘트(주 2
 
1.3%
광양2공장 2
 
1.3%
케이아이씨 2
 
1.3%
제2공장 2
 
1.3%
1공장 2
 
1.3%
삼현철강(주 2
 
1.3%
Other values (117) 124
82.1%
2023-12-23T07:43:54.665370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 111
 
10.7%
주 111
 
10.7%
) 111
 
10.7%
스 42
 
4.0%
31
 
3.0%
업 27
 
2.6%
양 27
 
2.6%
이 25
 
2.4%
공 25
 
2.4%
광 25
 
2.4%
Other values (156) 507
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 772
74.1%
Open Punctuation 111
 
10.7%
Close Punctuation 111
 
10.7%
Space Separator 31
 
3.0%
Decimal Number 13
 
1.2%
Uppercase Letter 3
 
0.3%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 111
 
14.4%
스 42
 
5.4%
업 27
 
3.5%
양 27
 
3.5%
이 25
 
3.2%
공 25
 
3.2%
광 25
 
3.2%
장 22
 
2.8%
에 22
 
2.8%
코 15
 
1.9%
Other values (146) 431
55.8%
Decimal Number
ValueCountFrequency (%)
2 9
69.2%
1 3
 
23.1%
3 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
O 1
33.3%
I 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 773
74.2%
Common 266
 
25.5%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 111
 
14.4%
스 42
 
5.4%
업 27
 
3.5%
양 27
 
3.5%
이 25
 
3.2%
공 25
 
3.2%
광 25
 
3.2%
장 22
 
2.8%
에 22
 
2.8%
코 15
 
1.9%
Other values (147) 432
55.9%
Common
ValueCountFrequency (%)
( 111
41.7%
) 111
41.7%
31
 
11.7%
2 9
 
3.4%
1 3
 
1.1%
3 1
 
0.4%
Latin
ValueCountFrequency (%)
C 1
33.3%
O 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 772
74.1%
ASCII 269
 
25.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 111
41.3%
) 111
41.3%
31
 
11.5%
2 9
 
3.3%
1 3
 
1.1%
C 1
 
0.4%
O 1
 
0.4%
I 1
 
0.4%
3 1
 
0.4%
Hangul
ValueCountFrequency (%)
주 111
 
14.4%
스 42
 
5.4%
업 27
 
3.5%
양 27
 
3.5%
이 25
 
3.2%
공 25
 
3.2%
광 25
 
3.2%
장 22
 
2.8%
에 22
 
2.8%
코 15
 
1.9%
Other values (146) 431
55.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

공장대표주소
Text

Distinct102
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-23T07:43:56.209244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length43
Mean length29.991667
Min length16

Characters and Unicode

Total characters3599
Distinct characters123
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

Unique90 ?
Unique (%)75.0%

Sample

1st row전라남도 광양시 태인2길 128 (태인동)
2nd row전라남도 광양시 제철로 1655-251 (금호동)
3rd row전라남도 광양시 담안길 23 (태인동, (주)거양엔지니어링)
4th row전라남도 광양시 산업로 11, (태인동 1657-12번지) (태인동)
5th row전라남도 광양시 제철로 1800, [금호동 638, 640] (금호동)
ValueCountFrequency (%)
전라남도 120
16.2%
광양시 120
16.2%
태인동 97
 
13.1%
금호동 51
 
6.9%
제철로 29
 
3.9%
외 20
 
2.7%
산업로 19
 
2.6%
백운1로 12
 
1.6%
태인2길 10
 
1.4%
2148-97 9
 
1.2%
Other values (160) 252
34.1%
2023-12-23T07:43:58.240361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
619
 
17.2%
동 154
 
4.3%
) 141
 
3.9%
( 141
 
3.9%
1 132
 
3.7%
인 130
 
3.6%
태 130
 
3.6%
양 124
 
3.4%
시 123
 
3.4%
광 122
 
3.4%
Other values (113) 1783
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1880
52.2%
Decimal Number 639
 
17.8%
Space Separator 619
 
17.2%
Close Punctuation 156
 
4.3%
Open Punctuation 156
 
4.3%
Other Punctuation 73
 
2.0%
Dash Punctuation 53
 
1.5%
Other Symbol 12
 
0.3%
Uppercase Letter 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 154
 
8.2%
인 130
 
6.9%
태 130
 
6.9%
양 124
 
6.6%
시 123
 
6.5%
광 122
 
6.5%
전 120
 
6.4%
남 120
 
6.4%
도 120
 
6.4%
라 120
 
6.4%
Other values (87) 617
32.8%
Decimal Number
ValueCountFrequency (%)
1 132
20.7%
2 98
15.3%
5 73
11.4%
6 68
10.6%
8 64
10.0%
3 53
8.3%
4 47
 
7.4%
0 40
 
6.3%
9 37
 
5.8%
7 27
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
E 3
27.3%
N 2
18.2%
G 2
18.2%
D 2
18.2%
K 1
 
9.1%
I 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 70
95.9%
/ 2
 
2.7%
: 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 141
90.4%
] 15
 
9.6%
Open Punctuation
ValueCountFrequency (%)
( 141
90.4%
[ 15
 
9.6%
Space Separator
ValueCountFrequency (%)
619
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1892
52.6%
Common 1696
47.1%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 154
 
8.1%
인 130
 
6.9%
태 130
 
6.9%
양 124
 
6.6%
시 123
 
6.5%
광 122
 
6.4%
전 120
 
6.3%
남 120
 
6.3%
도 120
 
6.3%
라 120
 
6.3%
Other values (88) 629
33.2%
Common
ValueCountFrequency (%)
619
36.5%
) 141
 
8.3%
( 141
 
8.3%
1 132
 
7.8%
2 98
 
5.8%
5 73
 
4.3%
, 70
 
4.1%
6 68
 
4.0%
8 64
 
3.8%
- 53
 
3.1%
Other values (9) 237
 
14.0%
Latin
ValueCountFrequency (%)
E 3
27.3%
N 2
18.2%
G 2
18.2%
D 2
18.2%
K 1
 
9.1%
I 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1880
52.2%
ASCII 1707
47.4%
None 12
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
619
36.3%
) 141
 
8.3%
( 141
 
8.3%
1 132
 
7.7%
2 98
 
5.7%
5 73
 
4.3%
, 70
 
4.1%
6 68
 
4.0%
8 64
 
3.7%
- 53
 
3.1%
Other values (15) 248
14.5%
Hangul
ValueCountFrequency (%)
동 154
 
8.2%
인 130
 
6.9%
태 130
 
6.9%
양 124
 
6.6%
시 123
 
6.5%
광 122
 
6.5%
전 120
 
6.4%
남 120
 
6.4%
도 120
 
6.4%
라 120
 
6.4%
Other values (87) 617
32.8%
None
ValueCountFrequency (%)
㈜ 12
100.0%

전화번호
Text

Distinct112
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-23T07:43:59.359552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.008333
Min length12

Characters and Unicode

Total characters1441
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

Unique105 ?
Unique (%)87.5%

Sample

1st row061-792-5709
2nd row061-791-8125
3rd row061-794-3151
4th row061-795-7333
5th row061-797-1700
ValueCountFrequency (%)
061-798-2021 3
 
2.5%
061-910-9000 2
 
1.7%
061-792-3930 2
 
1.7%
061-794-1177 2
 
1.7%
061-792-7777 2
 
1.7%
061-797-8000 2
 
1.7%
061-797-0500 2
 
1.7%
061-794-6524 1
 
0.8%
055-274-2066 1
 
0.8%
061-794-1334 1
 
0.8%
Other values (102) 102
85.0%
2023-12-23T07:44:01.026515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 240
16.7%
1 214
14.9%
0 207
14.4%
7 176
12.2%
6 164
11.4%
9 138
9.6%
2 96
 
6.7%
5 61
 
4.2%
8 56
 
3.9%
3 46
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1201
83.3%
Dash Punctuation 240
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 214
17.8%
0 207
17.2%
7 176
14.7%
6 164
13.7%
9 138
11.5%
2 96
8.0%
5 61
 
5.1%
8 56
 
4.7%
3 46
 
3.8%
4 43
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1441
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 240
16.7%
1 214
14.9%
0 207
14.4%
7 176
12.2%
6 164
11.4%
9 138
9.6%
2 96
 
6.7%
5 61
 
4.2%
8 56
 
3.9%
3 46
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1441
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 240
16.7%
1 214
14.9%
0 207
14.4%
7 176
12.2%
6 164
11.4%
9 138
9.6%
2 96
 
6.7%
5 61
 
4.2%
8 56
 
3.9%
3 46
 
3.2%

팩스번호
Text

Distinct104
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-23T07:44:02.019870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1440
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

Unique95 ?
Unique (%)79.2%

Sample

1st row061-792-5708
2nd row061-790-5480
3rd row061-794-3152
4th row061-795-7555
5th row061-792-8677
ValueCountFrequency (%)
061-000-0000 8
 
6.7%
061-792-2025 3
 
2.5%
061-795-0001 2
 
1.7%
061-772-8165 2
 
1.7%
061-792-8689 2
 
1.7%
061-798-0609 2
 
1.7%
061-792-5377 2
 
1.7%
061-910-9001 2
 
1.7%
061-792-9955 2
 
1.7%
061-792-1072 1
 
0.8%
Other values (94) 94
78.3%
2023-12-23T07:44:03.902413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 255
17.7%
- 240
16.7%
1 177
12.3%
6 161
11.2%
7 152
10.6%
9 152
10.6%
5 80
 
5.6%
2 79
 
5.5%
8 66
 
4.6%
3 42
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1200
83.3%
Dash Punctuation 240
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 255
21.2%
1 177
14.8%
6 161
13.4%
7 152
12.7%
9 152
12.7%
5 80
 
6.7%
2 79
 
6.6%
8 66
 
5.5%
3 42
 
3.5%
4 36
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1440
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 255
17.7%
- 240
16.7%
1 177
12.3%
6 161
11.2%
7 152
10.6%
9 152
10.6%
5 80
 
5.6%
2 79
 
5.5%
8 66
 
4.6%
3 42
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 255
17.7%
- 240
16.7%
1 177
12.3%
6 161
11.2%
7 152
10.6%
9 152
10.6%
5 80
 
5.6%
2 79
 
5.5%
8 66
 
4.6%
3 42
 
2.9%

생산품
Text

Distinct102
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-23T07:44:05.451024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length26
Mean length8.2333333
Min length2

Characters and Unicode

Total characters988
Distinct characters213
Distinct categories9 ?
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 (%)79.2%

Sample

1st row철구조물
2nd row산업기계
3rd row제어반+ 절연케이블+ 통신시스템
4th row건설기계
5th row슬라브 표면처리
ValueCountFrequency (%)
철구조물 7
 
3.7%
산업기계 7
 
3.7%
레미콘 4
 
2.1%
및 4
 
2.1%
슬라그시멘트 3
 
1.6%
전산기기 3
 
1.6%
산업용 3
 
1.6%
산업용기계부품 3
 
1.6%
생석회 3
 
1.6%
등 3
 
1.6%
Other values (135) 148
78.7%
2023-12-23T07:44:08.985688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
6.9%
+ 59
 
6.0%
기 28
 
2.8%
산 25
 
2.5%
철 22
 
2.2%
강 20
 
2.0%
업 19
 
1.9%
용 19
 
1.9%
조 19
 
1.9%
판 19
 
1.9%
Other values (203) 690
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 791
80.1%
Space Separator 68
 
6.9%
Math Symbol 59
 
6.0%
Uppercase Letter 50
 
5.1%
Open Punctuation 6
 
0.6%
Close Punctuation 6
 
0.6%
Lowercase Letter 6
 
0.6%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 28
 
3.5%
산 25
 
3.2%
철 22
 
2.8%
강 20
 
2.5%
업 19
 
2.4%
용 19
 
2.4%
조 19
 
2.4%
판 19
 
2.4%
물 19
 
2.4%
계 16
 
2.0%
Other values (177) 585
74.0%
Uppercase Letter
ValueCountFrequency (%)
R 6
12.0%
E 6
12.0%
O 6
12.0%
L 5
10.0%
P 5
10.0%
S 4
8.0%
T 4
8.0%
A 3
6.0%
C 3
6.0%
V 2
 
4.0%
Other values (4) 6
12.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
16.7%
k 1
16.7%
e 1
16.7%
l 1
16.7%
p 1
16.7%
c 1
16.7%
Space Separator
ValueCountFrequency (%)
68
100.0%
Math Symbol
ValueCountFrequency (%)
+ 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 791
80.1%
Common 141
 
14.3%
Latin 56
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 28
 
3.5%
산 25
 
3.2%
철 22
 
2.8%
강 20
 
2.5%
업 19
 
2.4%
용 19
 
2.4%
조 19
 
2.4%
판 19
 
2.4%
물 19
 
2.4%
계 16
 
2.0%
Other values (177) 585
74.0%
Latin
ValueCountFrequency (%)
R 6
10.7%
E 6
10.7%
O 6
10.7%
L 5
8.9%
P 5
8.9%
S 4
 
7.1%
T 4
 
7.1%
A 3
 
5.4%
C 3
 
5.4%
V 2
 
3.6%
Other values (10) 12
21.4%
Common
ValueCountFrequency (%)
68
48.2%
+ 59
41.8%
( 6
 
4.3%
) 6
 
4.3%
. 1
 
0.7%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 791
80.1%
ASCII 197
 
19.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
34.5%
+ 59
29.9%
R 6
 
3.0%
( 6
 
3.0%
E 6
 
3.0%
) 6
 
3.0%
O 6
 
3.0%
L 5
 
2.5%
P 5
 
2.5%
S 4
 
2.0%
Other values (16) 26
 
13.2%
Hangul
ValueCountFrequency (%)
기 28
 
3.5%
산 25
 
3.2%
철 22
 
2.8%
강 20
 
2.5%
업 19
 
2.4%
용 19
 
2.4%
조 19
 
2.4%
판 19
 
2.4%
물 19
 
2.4%
계 16
 
2.0%
Other values (177) 585
74.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-12-20 00:00:00
Maximum2023-12-20 00:00:00
2023-12-23T07:44:10.038127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:44:10.560764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-23T07:43:47.389241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-23T07:43:47.884946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:43:48.782422image/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

순번단지명회사명공장대표주소전화번호팩스번호생산품데이터기준일
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23광양국가산업단지(주)거양엔지니어링전라남도 광양시 담안길 23 (태인동, (주)거양엔지니어링)061-794-3151061-794-3152제어반+ 절연케이블+ 통신시스템2023-12-20
34광양국가산업단지(주)광양테크전라남도 광양시 산업로 11, (태인동 1657-12번지) (태인동)061-795-7333061-795-7555건설기계2023-12-20
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56광양국가산업단지(주)교보스틸전라남도 광양시 산업로 237 (태인동, DKDEI)061-818-8885061-818-8886철강재2023-12-20
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112113광양국가산업단지지원테크전라남도 광양시 산업로 253 (태인동, (주)사카팬코리아)061-792-3755061-792-5377산업용 고무제품2023-12-20
113114광양국가산업단지케이원테크(주)전라남도 광양시 폭포사랑길 20-26 (금호동)061-795-1611061-790-5601기계정비 등2023-12-20
114115광양국가산업단지태경산업(주) 광양공장전라남도 광양시 태인3길 7, (태인동 1656번지) (태인동)061-792-2750061-792-5682생석회+ 중질탄산칼슘+소석회2023-12-20
115116광양국가산업단지포스코에너지(주) 제2공장전라남도 광양시 금호동 879-3번지02-3457-211402-3457-2115천연가스2023-12-20
116117광양국가산업단지한라시멘트(주)전라남도 광양시 산업로 159 (태인동) 외 2필지061-792-8291061-792-8290슬라그시멘트2023-12-20
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