Overview

Dataset statistics

Number of variables10
Number of observations595
Missing cells26
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.2 KiB
Average record size in memory81.2 B

Variable types

Numeric1
Text6
Categorical2
DateTime1

Dataset

Description전라남도 광양시의 공장신설 승인 및 설립완료신고 현황(업종, 업체명, 소재지, 생산품, 전화번호)에 대한 데이터를 전 국민에게 무료로 제공
Author전라남도 광양시
URLhttps://www.data.go.kr/data/3079574/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일 has constant value ""Constant
공장대표주소(도로명) has 7 (1.2%) missing valuesMissing
전화번호 has 19 (3.2%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:56:40.020177
Analysis finished2023-12-12 01:56:41.612604
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct595
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298
Minimum1
Maximum595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-12T10:56:41.717307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30.7
Q1149.5
median298
Q3446.5
95-th percentile565.3
Maximum595
Range594
Interquartile range (IQR)297

Descriptive statistics

Standard deviation171.90598
Coefficient of variation (CV)0.57686571
Kurtosis-1.2
Mean298
Median Absolute Deviation (MAD)149
Skewness0
Sum177310
Variance29551.667
MonotonicityStrictly increasing
2023-12-12T10:56:41.909905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
393 1
 
0.2%
395 1
 
0.2%
396 1
 
0.2%
397 1
 
0.2%
398 1
 
0.2%
399 1
 
0.2%
400 1
 
0.2%
401 1
 
0.2%
402 1
 
0.2%
Other values (585) 585
98.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
595 1
0.2%
594 1
0.2%
593 1
0.2%
592 1
0.2%
591 1
0.2%
590 1
0.2%
589 1
0.2%
588 1
0.2%
587 1
0.2%
586 1
0.2%

회사명
Text

Distinct582
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T10:56:42.304071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.6016807
Min length2

Characters and Unicode

Total characters4523
Distinct characters344
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

Unique570 ?
Unique (%)95.8%

Sample

1st row(유)대명산업
2nd row(유)대한이엔지
3rd row(유)로드아스텍
4th row(유)믿음식품
5th row(유)세림상운
ValueCountFrequency (%)
주식회사 14
 
2.1%
제2공장 11
 
1.6%
광양공장 9
 
1.3%
광양지점 5
 
0.7%
2공장 4
 
0.6%
광양2공장 3
 
0.4%
주)에스케이디 3
 
0.4%
광양 3
 
0.4%
1공장 3
 
0.4%
주)포스코모빌리티솔루션 3
 
0.4%
Other values (579) 617
91.4%
2023-12-12T10:56:42.854499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 422
 
9.3%
( 401
 
8.9%
) 401
 
8.9%
스 137
 
3.0%
이 136
 
3.0%
업 96
 
2.1%
에 87
 
1.9%
80
 
1.8%
엔 77
 
1.7%
산 74
 
1.6%
Other values (334) 2612
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3542
78.3%
Open Punctuation 401
 
8.9%
Close Punctuation 401
 
8.9%
Space Separator 80
 
1.8%
Other Symbol 48
 
1.1%
Decimal Number 30
 
0.7%
Uppercase Letter 21
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 422
 
11.9%
스 137
 
3.9%
이 136
 
3.8%
업 96
 
2.7%
에 87
 
2.5%
엔 77
 
2.2%
산 74
 
2.1%
지 71
 
2.0%
공 68
 
1.9%
광 64
 
1.8%
Other values (313) 2310
65.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
14.3%
S 3
14.3%
E 3
14.3%
P 2
9.5%
G 1
 
4.8%
N 1
 
4.8%
H 1
 
4.8%
I 1
 
4.8%
O 1
 
4.8%
T 1
 
4.8%
Other values (4) 4
19.0%
Decimal Number
ValueCountFrequency (%)
2 20
66.7%
1 6
 
20.0%
3 4
 
13.3%
Open Punctuation
ValueCountFrequency (%)
( 401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 401
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3590
79.4%
Common 912
 
20.2%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 422
 
11.8%
스 137
 
3.8%
이 136
 
3.8%
업 96
 
2.7%
에 87
 
2.4%
엔 77
 
2.1%
산 74
 
2.1%
지 71
 
2.0%
공 68
 
1.9%
광 64
 
1.8%
Other values (314) 2358
65.7%
Latin
ValueCountFrequency (%)
C 3
14.3%
S 3
14.3%
E 3
14.3%
P 2
9.5%
G 1
 
4.8%
N 1
 
4.8%
H 1
 
4.8%
I 1
 
4.8%
O 1
 
4.8%
T 1
 
4.8%
Other values (4) 4
19.0%
Common
ValueCountFrequency (%)
( 401
44.0%
) 401
44.0%
80
 
8.8%
2 20
 
2.2%
1 6
 
0.7%
3 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3542
78.3%
ASCII 933
 
20.6%
None 48
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 422
 
11.9%
스 137
 
3.9%
이 136
 
3.8%
업 96
 
2.7%
에 87
 
2.5%
엔 77
 
2.2%
산 74
 
2.1%
지 71
 
2.0%
공 68
 
1.9%
광 64
 
1.8%
Other values (313) 2310
65.2%
ASCII
ValueCountFrequency (%)
( 401
43.0%
) 401
43.0%
80
 
8.6%
2 20
 
2.1%
1 6
 
0.6%
3 4
 
0.4%
C 3
 
0.3%
S 3
 
0.3%
E 3
 
0.3%
P 2
 
0.2%
Other values (10) 10
 
1.1%
None
ValueCountFrequency (%)
㈜ 48
100.0%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
전라남도
595 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 595
100.0%

Length

2023-12-12T10:56:43.007989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:56:43.102815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 595
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
광양시
595 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광양시 595
100.0%

Length

2023-12-12T10:56:43.206689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:56:43.301436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광양시 595
100.0%

공장대표주소(도로명)
Text

MISSING 

Distinct539
Distinct (%)91.7%
Missing7
Missing (%)1.2%
Memory size4.8 KiB
2023-12-12T10:56:43.669874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length44
Mean length25.25
Min length16

Characters and Unicode

Total characters14847
Distinct characters255
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

Unique499 ?
Unique (%)84.9%

Sample

1st row전라남도 광양시 옥곡면 원적길 6
2nd row전라남도 광양시 광양읍 익신산단1길 11
3rd row전라남도 광양시 광양읍 백운로 549-10
4th row전라남도 광양시 광양읍 세풍산단1로 116
5th row전라남도 광양시 태인2길 128 (태인동)
ValueCountFrequency (%)
전라남도 588
17.8%
광양시 588
17.8%
광양읍 208
 
6.3%
옥곡면 123
 
3.7%
태인동 94
 
2.8%
외 91
 
2.8%
1필지 47
 
1.4%
금호동 45
 
1.4%
제철로 44
 
1.3%
진월면 25
 
0.8%
Other values (653) 1447
43.8%
2023-12-12T10:56:44.324740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2712
18.3%
광 830
 
5.6%
양 807
 
5.4%
남 648
 
4.4%
도 611
 
4.1%
시 596
 
4.0%
전 592
 
4.0%
라 588
 
4.0%
1 522
 
3.5%
2 362
 
2.4%
Other values (245) 6579
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8954
60.3%
Space Separator 2712
 
18.3%
Decimal Number 2202
 
14.8%
Close Punctuation 332
 
2.2%
Open Punctuation 332
 
2.2%
Dash Punctuation 185
 
1.2%
Other Punctuation 88
 
0.6%
Uppercase Letter 23
 
0.2%
Other Symbol 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 830
 
9.3%
양 807
 
9.0%
남 648
 
7.2%
도 611
 
6.8%
시 596
 
6.7%
전 592
 
6.6%
라 588
 
6.6%
길 328
 
3.7%
동 266
 
3.0%
로 226
 
2.5%
Other values (213) 3462
38.7%
Uppercase Letter
ValueCountFrequency (%)
E 6
26.1%
C 2
 
8.7%
D 2
 
8.7%
N 2
 
8.7%
G 2
 
8.7%
K 2
 
8.7%
S 2
 
8.7%
I 1
 
4.3%
T 1
 
4.3%
M 1
 
4.3%
Other values (2) 2
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 522
23.7%
2 362
16.4%
3 242
11.0%
5 224
10.2%
4 178
 
8.1%
6 163
 
7.4%
0 137
 
6.2%
7 130
 
5.9%
8 124
 
5.6%
9 120
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 85
96.6%
. 2
 
2.3%
: 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 318
95.8%
] 14
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 318
95.8%
[ 14
 
4.2%
Space Separator
ValueCountFrequency (%)
2712
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8973
60.4%
Common 5851
39.4%
Latin 23
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 830
 
9.2%
양 807
 
9.0%
남 648
 
7.2%
도 611
 
6.8%
시 596
 
6.6%
전 592
 
6.6%
라 588
 
6.6%
길 328
 
3.7%
동 266
 
3.0%
로 226
 
2.5%
Other values (214) 3481
38.8%
Common
ValueCountFrequency (%)
2712
46.4%
1 522
 
8.9%
2 362
 
6.2%
) 318
 
5.4%
( 318
 
5.4%
3 242
 
4.1%
5 224
 
3.8%
- 185
 
3.2%
4 178
 
3.0%
6 163
 
2.8%
Other values (9) 627
 
10.7%
Latin
ValueCountFrequency (%)
E 6
26.1%
C 2
 
8.7%
D 2
 
8.7%
N 2
 
8.7%
G 2
 
8.7%
K 2
 
8.7%
S 2
 
8.7%
I 1
 
4.3%
T 1
 
4.3%
M 1
 
4.3%
Other values (2) 2
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8954
60.3%
ASCII 5874
39.6%
None 19
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2712
46.2%
1 522
 
8.9%
2 362
 
6.2%
) 318
 
5.4%
( 318
 
5.4%
3 242
 
4.1%
5 224
 
3.8%
- 185
 
3.1%
4 178
 
3.0%
6 163
 
2.8%
Other values (21) 650
 
11.1%
Hangul
ValueCountFrequency (%)
광 830
 
9.3%
양 807
 
9.0%
남 648
 
7.2%
도 611
 
6.8%
시 596
 
6.7%
전 592
 
6.6%
라 588
 
6.6%
길 328
 
3.7%
동 266
 
3.0%
로 226
 
2.5%
Other values (213) 3462
38.7%
None
ValueCountFrequency (%)
㈜ 19
100.0%

공장대표주소(지번)
Text

Distinct551
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T10:56:44.610344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length42
Mean length23.92437
Min length16

Characters and Unicode

Total characters14235
Distinct characters157
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

Unique515 ?
Unique (%)86.6%

Sample

1st row전라남도 광양시 옥곡면 원월리 216-1번지
2nd row전라남도 광양시 광양읍 익신리 759-6
3rd row전라남도 광양시 광양읍 죽림리 128번지
4th row전라남도 광양시 광양읍 세풍리 2237-15
5th row전라남도 광양시 태인동 1698번지
ValueCountFrequency (%)
전라남도 595
19.7%
광양시 595
19.7%
광양읍 203
 
6.7%
옥곡면 120
 
4.0%
신금리 111
 
3.7%
태인동 105
 
3.5%
외 90
 
3.0%
초남리 59
 
1.9%
금호동 50
 
1.7%
1필지 47
 
1.6%
Other values (630) 1051
34.7%
2023-12-12T10:56:45.020608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2431
17.1%
광 821
 
5.8%
양 801
 
5.6%
남 654
 
4.6%
도 611
 
4.3%
시 596
 
4.2%
전 595
 
4.2%
라 595
 
4.2%
지 584
 
4.1%
1 570
 
4.0%
Other values (147) 5977
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8510
59.8%
Decimal Number 2757
 
19.4%
Space Separator 2431
 
17.1%
Dash Punctuation 459
 
3.2%
Close Punctuation 30
 
0.2%
Open Punctuation 30
 
0.2%
Uppercase Letter 10
 
0.1%
Other Punctuation 7
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 821
 
9.6%
양 801
 
9.4%
남 654
 
7.7%
도 611
 
7.2%
시 596
 
7.0%
전 595
 
7.0%
라 595
 
7.0%
지 584
 
6.9%
번 493
 
5.8%
리 377
 
4.4%
Other values (121) 2383
28.0%
Decimal Number
ValueCountFrequency (%)
1 570
20.7%
7 309
11.2%
6 308
11.2%
5 304
11.0%
3 260
9.4%
2 239
8.7%
8 215
 
7.8%
0 188
 
6.8%
4 187
 
6.8%
9 177
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
E 3
30.0%
D 2
20.0%
A 1
 
10.0%
K 1
 
10.0%
I 1
 
10.0%
M 1
 
10.0%
C 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 19
63.3%
] 11
36.7%
Open Punctuation
ValueCountFrequency (%)
( 19
63.3%
[ 11
36.7%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
: 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2431
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 459
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8511
59.8%
Common 5714
40.1%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 821
 
9.6%
양 801
 
9.4%
남 654
 
7.7%
도 611
 
7.2%
시 596
 
7.0%
전 595
 
7.0%
라 595
 
7.0%
지 584
 
6.9%
번 493
 
5.8%
리 377
 
4.4%
Other values (122) 2384
28.0%
Common
ValueCountFrequency (%)
2431
42.5%
1 570
 
10.0%
- 459
 
8.0%
7 309
 
5.4%
6 308
 
5.4%
5 304
 
5.3%
3 260
 
4.6%
2 239
 
4.2%
8 215
 
3.8%
0 188
 
3.3%
Other values (8) 431
 
7.5%
Latin
ValueCountFrequency (%)
E 3
30.0%
D 2
20.0%
A 1
 
10.0%
K 1
 
10.0%
I 1
 
10.0%
M 1
 
10.0%
C 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8510
59.8%
ASCII 5724
40.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2431
42.5%
1 570
 
10.0%
- 459
 
8.0%
7 309
 
5.4%
6 308
 
5.4%
5 304
 
5.3%
3 260
 
4.5%
2 239
 
4.2%
8 215
 
3.8%
0 188
 
3.3%
Other values (15) 441
 
7.7%
Hangul
ValueCountFrequency (%)
광 821
 
9.6%
양 801
 
9.4%
남 654
 
7.7%
도 611
 
7.2%
시 596
 
7.0%
전 595
 
7.0%
라 595
 
7.0%
지 584
 
6.9%
번 493
 
5.8%
리 377
 
4.4%
Other values (121) 2383
28.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화번호
Text

MISSING 

Distinct539
Distinct (%)93.6%
Missing19
Missing (%)3.2%
Memory size4.8 KiB
2023-12-12T10:56:45.276131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.017361
Min length11

Characters and Unicode

Total characters6922
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

Unique504 ?
Unique (%)87.5%

Sample

1st row061-772-2054
2nd row061-763-2667
3rd row061-762-0993
4th row061-763-2958
5th row061-792-5709
ValueCountFrequency (%)
061-763-7770 3
 
0.5%
061-772-7941 3
 
0.5%
061-772-9660 2
 
0.3%
061-772-8121 2
 
0.3%
061-793-9600 2
 
0.3%
061-792-7766 2
 
0.3%
061-792-7777 2
 
0.3%
061-797-1100 2
 
0.3%
061-791-6055 2
 
0.3%
061-762-3937 2
 
0.3%
Other values (529) 554
96.2%
2023-12-12T10:56:45.754324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1152
16.6%
0 957
13.8%
6 939
13.6%
7 929
13.4%
1 914
13.2%
2 496
7.2%
9 435
 
6.3%
3 297
 
4.3%
5 289
 
4.2%
8 269
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5770
83.4%
Dash Punctuation 1152
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 957
16.6%
6 939
16.3%
7 929
16.1%
1 914
15.8%
2 496
8.6%
9 435
7.5%
3 297
 
5.1%
5 289
 
5.0%
8 269
 
4.7%
4 245
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6922
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1152
16.6%
0 957
13.8%
6 939
13.6%
7 929
13.4%
1 914
13.2%
2 496
7.2%
9 435
 
6.3%
3 297
 
4.3%
5 289
 
4.2%
8 269
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1152
16.6%
0 957
13.8%
6 939
13.6%
7 929
13.4%
1 914
13.2%
2 496
7.2%
9 435
 
6.3%
3 297
 
4.3%
5 289
 
4.2%
8 269
 
3.9%

업종명
Text

Distinct269
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T10:56:46.181913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length18.364706
Min length3

Characters and Unicode

Total characters10927
Distinct characters244
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

Unique180 ?
Unique (%)30.3%

Sample

1st row금속 단조제품 제조업
2nd row절삭가공 및 유사처리업 외 2 종
3rd row아스팔트 콘크리트 및 혼합제품 제조업
4th row가금류 가공 및 저장 처리업 외 2 종
5th row육상 금속 골조 구조재 제조업
ValueCountFrequency (%)
제조업 499
 
13.9%
외 369
 
10.2%
종 291
 
8.1%
및 274
 
7.6%
1 159
 
4.4%
기타 142
 
3.9%
금속 104
 
2.9%
그 78
 
2.2%
전기 69
 
1.9%
육상 66
 
1.8%
Other values (314) 1549
43.0%
2023-12-12T10:56:46.799843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3006
27.5%
제 688
 
6.3%
조 678
 
6.2%
업 635
 
5.8%
외 373
 
3.4%
기 347
 
3.2%
종 293
 
2.7%
및 274
 
2.5%
1 179
 
1.6%
금 170
 
1.6%
Other values (234) 4284
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7534
68.9%
Space Separator 3006
 
27.5%
Decimal Number 310
 
2.8%
Other Punctuation 69
 
0.6%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 688
 
9.1%
조 678
 
9.0%
업 635
 
8.4%
외 373
 
5.0%
기 347
 
4.6%
종 293
 
3.9%
및 274
 
3.6%
금 170
 
2.3%
전 169
 
2.2%
속 155
 
2.1%
Other values (220) 3752
49.8%
Decimal Number
ValueCountFrequency (%)
1 179
57.7%
2 52
 
16.8%
3 32
 
10.3%
4 14
 
4.5%
7 13
 
4.2%
5 9
 
2.9%
6 6
 
1.9%
8 3
 
1.0%
9 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 63
91.3%
. 6
 
8.7%
Space Separator
ValueCountFrequency (%)
3006
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7534
68.9%
Common 3393
31.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 688
 
9.1%
조 678
 
9.0%
업 635
 
8.4%
외 373
 
5.0%
기 347
 
4.6%
종 293
 
3.9%
및 274
 
3.6%
금 170
 
2.3%
전 169
 
2.2%
속 155
 
2.1%
Other values (220) 3752
49.8%
Common
ValueCountFrequency (%)
3006
88.6%
1 179
 
5.3%
, 63
 
1.9%
2 52
 
1.5%
3 32
 
0.9%
4 14
 
0.4%
7 13
 
0.4%
5 9
 
0.3%
. 6
 
0.2%
6 6
 
0.2%
Other values (4) 13
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7526
68.9%
ASCII 3393
31.1%
Compat Jamo 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3006
88.6%
1 179
 
5.3%
, 63
 
1.9%
2 52
 
1.5%
3 32
 
0.9%
4 14
 
0.4%
7 13
 
0.4%
5 9
 
0.3%
. 6
 
0.2%
6 6
 
0.2%
Other values (4) 13
 
0.4%
Hangul
ValueCountFrequency (%)
제 688
 
9.1%
조 678
 
9.0%
업 635
 
8.4%
외 373
 
5.0%
기 347
 
4.6%
종 293
 
3.9%
및 274
 
3.6%
금 170
 
2.3%
전 169
 
2.2%
속 155
 
2.1%
Other values (219) 3744
49.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
100.0%

생산품
Text

Distinct502
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T10:56:47.165742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length43
Mean length10.591597
Min length1

Characters and Unicode

Total characters6302
Distinct characters474
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

Unique469 ?
Unique (%)78.8%

Sample

1st row메탈케이스
2nd rowDAMRER, ROLL, SHAFT, FLANGE 등
3rd row아스콘
4th row축산물 가공품
5th row철구조물
ValueCountFrequency (%)
철구조물 58
 
4.8%
등 32
 
2.7%
배전반 20
 
1.7%
자동제어반 18
 
1.5%
수배전반 16
 
1.3%
및 16
 
1.3%
건설기계 11
 
0.9%
레미콘 10
 
0.8%
구조물 9
 
0.7%
산업기계 9
 
0.7%
Other values (793) 1003
83.4%
2023-12-12T10:56:47.785362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
611
 
9.7%
, 442
 
7.0%
기 208
 
3.3%
조 137
 
2.2%
물 128
 
2.0%
전 123
 
2.0%
철 113
 
1.8%
제 106
 
1.7%
구 99
 
1.6%
반 89
 
1.4%
Other values (464) 4246
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4812
76.4%
Space Separator 611
 
9.7%
Other Punctuation 450
 
7.1%
Uppercase Letter 233
 
3.7%
Lowercase Letter 90
 
1.4%
Close Punctuation 38
 
0.6%
Open Punctuation 38
 
0.6%
Decimal Number 20
 
0.3%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 208
 
4.3%
조 137
 
2.8%
물 128
 
2.7%
전 123
 
2.6%
철 113
 
2.3%
제 106
 
2.2%
구 99
 
2.1%
반 89
 
1.8%
산 77
 
1.6%
계 75
 
1.6%
Other values (406) 3657
76.0%
Uppercase Letter
ValueCountFrequency (%)
C 31
13.3%
E 27
11.6%
P 24
 
10.3%
L 20
 
8.6%
T 14
 
6.0%
N 12
 
5.2%
S 12
 
5.2%
R 12
 
5.2%
O 10
 
4.3%
A 9
 
3.9%
Other values (13) 62
26.6%
Lowercase Letter
ValueCountFrequency (%)
e 19
21.1%
l 9
10.0%
a 7
 
7.8%
i 7
 
7.8%
p 7
 
7.8%
n 5
 
5.6%
r 5
 
5.6%
s 4
 
4.4%
c 3
 
3.3%
o 3
 
3.3%
Other values (10) 21
23.3%
Decimal Number
ValueCountFrequency (%)
0 8
40.0%
2 4
20.0%
1 4
20.0%
3 2
 
10.0%
4 1
 
5.0%
8 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 442
98.2%
. 4
 
0.9%
/ 2
 
0.4%
& 1
 
0.2%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
611
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4812
76.4%
Common 1167
 
18.5%
Latin 323
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 208
 
4.3%
조 137
 
2.8%
물 128
 
2.7%
전 123
 
2.6%
철 113
 
2.3%
제 106
 
2.2%
구 99
 
2.1%
반 89
 
1.8%
산 77
 
1.6%
계 75
 
1.6%
Other values (406) 3657
76.0%
Latin
ValueCountFrequency (%)
C 31
 
9.6%
E 27
 
8.4%
P 24
 
7.4%
L 20
 
6.2%
e 19
 
5.9%
T 14
 
4.3%
N 12
 
3.7%
S 12
 
3.7%
R 12
 
3.7%
O 10
 
3.1%
Other values (33) 142
44.0%
Common
ValueCountFrequency (%)
611
52.4%
, 442
37.9%
) 38
 
3.3%
( 38
 
3.3%
- 10
 
0.9%
0 8
 
0.7%
2 4
 
0.3%
. 4
 
0.3%
1 4
 
0.3%
3 2
 
0.2%
Other values (5) 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4812
76.4%
ASCII 1489
 
23.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
611
41.0%
, 442
29.7%
) 38
 
2.6%
( 38
 
2.6%
C 31
 
2.1%
E 27
 
1.8%
P 24
 
1.6%
L 20
 
1.3%
e 19
 
1.3%
T 14
 
0.9%
Other values (47) 225
 
15.1%
Hangul
ValueCountFrequency (%)
기 208
 
4.3%
조 137
 
2.8%
물 128
 
2.7%
전 123
 
2.6%
철 113
 
2.3%
제 106
 
2.2%
구 99
 
2.1%
반 89
 
1.8%
산 77
 
1.6%
계 75
 
1.6%
Other values (406) 3657
76.0%
None
ValueCountFrequency (%)
· 1
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2023-09-22 00:00:00
Maximum2023-09-22 00:00:00
2023-12-12T10:56:47.931749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:56:48.049606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T10:56:41.040271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T10:56:41.200500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:56:41.382366image/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.
2023-12-12T10:56:41.531199image/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

순번회사명시도시군구공장대표주소(도로명)공장대표주소(지번)전화번호업종명생산품데이터기준일
01(유)대명산업전라남도광양시전라남도 광양시 옥곡면 원적길 6전라남도 광양시 옥곡면 원월리 216-1번지061-772-2054금속 단조제품 제조업메탈케이스2023-09-22
12(유)대한이엔지전라남도광양시전라남도 광양시 광양읍 익신산단1길 11전라남도 광양시 광양읍 익신리 759-6061-763-2667절삭가공 및 유사처리업 외 2 종DAMRER, ROLL, SHAFT, FLANGE 등2023-09-22
23(유)로드아스텍전라남도광양시전라남도 광양시 광양읍 백운로 549-10전라남도 광양시 광양읍 죽림리 128번지061-762-0993아스팔트 콘크리트 및 혼합제품 제조업아스콘2023-09-22
34(유)믿음식품전라남도광양시전라남도 광양시 광양읍 세풍산단1로 116전라남도 광양시 광양읍 세풍리 2237-15061-763-2958가금류 가공 및 저장 처리업 외 2 종축산물 가공품2023-09-22
45(유)세림상운전라남도광양시전라남도 광양시 태인2길 128 (태인동)전라남도 광양시 태인동 1698번지061-792-5709육상 금속 골조 구조재 제조업철구조물2023-09-22
56(유)한주엔지니어링전라남도광양시전라남도 광양시 광양읍 서평1길 21-7전라남도 광양시 광양읍 구산리 825-2번지061-791-0251방송장비 제조업 외 3 종CCTV, 영상기기,음향기기,전광판2023-09-22
67(재)전남테크노파크전라남도광양시전라남도 광양시 광양읍 익신리 756-9번지 외 1필지전라남도 광양시 광양읍 익신리 756-9번지 외 1필지061-725-2500금속 열처리업금속 열처리2023-09-22
78(주) 무창전라남도광양시전라남도 광양시 제철로 1655-251 (금호동)전라남도 광양시 금호동 645번지061-791-8125그 외 기타 특수목적용 기계 제조업 외 1 종산업기계2023-09-22
89(주)강남발전기전라남도광양시전라남도 광양시 장길로 191 (황금동, ㈜에스피씨)전라남도 광양시 황금동 975-1번지061-762-3614기타 전기 변환장치 제조업 외 1 종발전기, 콤프레샤, 양수기2023-09-22
910(주)강동아스콘전라남도광양시전라남도 광양시 광양읍 직동2길 15 외 2필지전라남도 광양시 광양읍 죽림리 43-1번지 외 2필지061-762-2006아스팔트 콘크리트 및 혼합제품 제조업아스콘2023-09-22
순번회사명시도시군구공장대표주소(도로명)공장대표주소(지번)전화번호업종명생산품데이터기준일
585586항동자원(주)전라남도광양시전라남도 광양시 진월면 오사리 산 144번지 외 6필지 외 6필지전라남도 광양시 진월면 오사리 산 144번지 외 6필지061-772-9231비금속광물 분쇄물 생산업비금속 광물2023-09-22
586587해덕세라믹스(주)전라남도광양시전라남도 광양시 옥곡면 신금리 1590-1전라남도 광양시 옥곡면 신금리 1590-1061-772-9471정형 내화 요업제품 제조업 외 1 종내화벽돌및유사구조용내화제품제관 기타도급업2023-09-22
587588해동에너지(주)전라남도광양시전라남도 광양시 광양읍 초남2공단1길 57전라남도 광양시 광양읍 초남리 761-1번지061-727-8084육상 금속 골조 구조재 제조업 외 3 종금속조립구조물, 태양광 접속반, 기타 무선 통신장비2023-09-22
588589혁성실업(주)전라남도광양시전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700번지061-792-8663그 외 기타 특수목적용 기계 제조업 외 1 종산업기계2023-09-22
589590현대산업전라남도광양시전라남도 광양시 옥곡면 신금산단1길 34 (㈜현대철강)전라남도 광양시 옥곡면 신금리 1507-62번지061-772-4723육상 금속 골조 구조재 제조업 외 1 종철구조물2023-09-22
590591현대스틸산업(주)율촌공장전라남도광양시전라남도 광양시 광양읍 율촌산단5로 177, 율촌제1일반산업단지 제1블럭전라남도 광양시 광양읍 세풍리 2202번지061-729-9000육상 금속 골조 구조재 제조업 외 2 종건설용 철구조물(강교, 철교)2023-09-22
591592협성농산영농조합법인전라남도광양시전라남도 광양시 다압면 도사리 540-1번지전라남도 광양시 다압면 도사리 540-1번지061-772-3747기타 과실ㆍ채소 가공 및 저장 처리업매실액.차2023-09-22
592593호남산업㈜ 호남아스콘전라남도광양시전라남도 광양시 장길로 42 (황금동)전라남도 광양시 황금동 993-1061-793-7781아스팔트 콘크리트 및 혼합제품 제조업아스콘2023-09-22
593594호남알찬도시락전라남도광양시전라남도 광양시 옥곡면 구룡로 1전라남도 광양시 옥곡면 신금리 1440번지061-772-4411김치류 제조업 외 2 종김치,급식용도시락2023-09-22
594595호반안전산업전라남도광양시전라남도 광양시 중마로 528 (중동)전라남도 광양시 중동 1754-7번지061-793-3580기타 편조의복 액세서리 제조업 외 1 종부대시설면적2023-09-22