Overview

Dataset statistics

Number of variables7
Number of observations990
Missing cells5
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.2 KiB
Average record size in memory57.1 B

Variable types

Text5
Categorical1
Numeric1

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

Reproduction

Analysis started2023-12-11 00:46:53.338814
Analysis finished2023-12-11 00:46:54.427999
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct970
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-11T09:46:54.646383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length6.1040404
Min length2

Characters and Unicode

Total characters6043
Distinct characters382
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

Unique952 ?
Unique (%)96.2%

Sample

1st row(유)동양프라스틱
2nd row(유)유창ENG
3rd row(주)HK바이오텍
4th row(주)HM금속
5th row(주)거산피앤에프
ValueCountFrequency (%)
주식회사 17
 
1.6%
제2공장 8
 
0.8%
대양산업 4
 
0.4%
주)성광 3
 
0.3%
하나로테크(주 3
 
0.3%
2공장 2
 
0.2%
진주공장 2
 
0.2%
정암산업(주 2
 
0.2%
금우정밀 2
 
0.2%
진주지점 2
 
0.2%
Other values (975) 1003
95.7%
2023-12-11T09:46:55.145938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 394
 
6.5%
( 316
 
5.2%
) 316
 
5.2%
업 292
 
4.8%
공 261
 
4.3%
정 175
 
2.9%
사 170
 
2.8%
성 138
 
2.3%
대 121
 
2.0%
산 121
 
2.0%
Other values (372) 3739
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5230
86.5%
Open Punctuation 316
 
5.2%
Close Punctuation 316
 
5.2%
Uppercase Letter 66
 
1.1%
Space Separator 58
 
1.0%
Decimal Number 29
 
0.5%
Other Punctuation 17
 
0.3%
Lowercase Letter 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 394
 
7.5%
업 292
 
5.6%
공 261
 
5.0%
정 175
 
3.3%
사 170
 
3.3%
성 138
 
2.6%
대 121
 
2.3%
산 121
 
2.3%
기 118
 
2.3%
진 115
 
2.2%
Other values (337) 3325
63.6%
Uppercase Letter
ValueCountFrequency (%)
G 9
13.6%
S 8
12.1%
N 8
12.1%
E 8
12.1%
C 5
7.6%
T 4
 
6.1%
M 4
 
6.1%
K 4
 
6.1%
H 3
 
4.5%
B 2
 
3.0%
Other values (7) 11
16.7%
Lowercase Letter
ValueCountFrequency (%)
o 2
18.2%
i 2
18.2%
f 1
9.1%
e 1
9.1%
d 1
9.1%
m 1
9.1%
s 1
9.1%
l 1
9.1%
k 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 21
72.4%
3 4
 
13.8%
1 4
 
13.8%
Other Punctuation
ValueCountFrequency (%)
. 14
82.4%
& 2
 
11.8%
' 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 316
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5230
86.5%
Common 736
 
12.2%
Latin 77
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 394
 
7.5%
업 292
 
5.6%
공 261
 
5.0%
정 175
 
3.3%
사 170
 
3.3%
성 138
 
2.6%
대 121
 
2.3%
산 121
 
2.3%
기 118
 
2.3%
진 115
 
2.2%
Other values (337) 3325
63.6%
Latin
ValueCountFrequency (%)
G 9
11.7%
S 8
 
10.4%
N 8
 
10.4%
E 8
 
10.4%
C 5
 
6.5%
T 4
 
5.2%
M 4
 
5.2%
K 4
 
5.2%
H 3
 
3.9%
B 2
 
2.6%
Other values (16) 22
28.6%
Common
ValueCountFrequency (%)
( 316
42.9%
) 316
42.9%
58
 
7.9%
2 21
 
2.9%
. 14
 
1.9%
3 4
 
0.5%
1 4
 
0.5%
& 2
 
0.3%
' 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5230
86.5%
ASCII 813
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 394
 
7.5%
업 292
 
5.6%
공 261
 
5.0%
정 175
 
3.3%
사 170
 
3.3%
성 138
 
2.6%
대 121
 
2.3%
산 121
 
2.3%
기 118
 
2.3%
진 115
 
2.2%
Other values (337) 3325
63.6%
ASCII
ValueCountFrequency (%)
( 316
38.9%
) 316
38.9%
58
 
7.1%
2 21
 
2.6%
. 14
 
1.7%
G 9
 
1.1%
S 8
 
1.0%
N 8
 
1.0%
E 8
 
1.0%
C 5
 
0.6%
Other values (25) 50
 
6.2%

업종명
Text

Distinct289
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-11T09:46:55.502456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length14.575758
Min length3

Characters and Unicode

Total characters14430
Distinct characters266
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

Unique159 ?
Unique (%)16.1%

Sample

1st row포장용 플라스틱 성형용기 제조업
2nd row농업 및 임업용 기계 제조업
3rd row건강기능식품 제조업 외 1 종
4th row선철주물 주조업
5th row선박 구성부분품 제조업
ValueCountFrequency (%)
제조업 733
 
17.0%
및 572
 
13.3%
외 166
 
3.9%
종 166
 
3.9%
기타 158
 
3.7%
절삭가공 126
 
2.9%
유사처리업 126
 
2.9%
1 107
 
2.5%
기계 104
 
2.4%
임업용 98
 
2.3%
Other values (373) 1954
45.3%
2023-12-11T09:46:56.045383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3320
23.0%
업 1203
 
8.3%
제 891
 
6.2%
조 885
 
6.1%
및 572
 
4.0%
기 488
 
3.4%
용 271
 
1.9%
사 250
 
1.7%
외 249
 
1.7%
품 233
 
1.6%
Other values (256) 6068
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10840
75.1%
Space Separator 3320
 
23.0%
Decimal Number 178
 
1.2%
Other Punctuation 92
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1203
 
11.1%
제 891
 
8.2%
조 885
 
8.2%
및 572
 
5.3%
기 488
 
4.5%
용 271
 
2.5%
사 250
 
2.3%
외 249
 
2.3%
품 233
 
2.1%
공 228
 
2.1%
Other values (247) 5570
51.4%
Decimal Number
ValueCountFrequency (%)
1 119
66.9%
2 36
 
20.2%
3 14
 
7.9%
6 4
 
2.2%
5 4
 
2.2%
4 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 85
92.4%
· 7
 
7.6%
Space Separator
ValueCountFrequency (%)
3320
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10840
75.1%
Common 3590
 
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1203
 
11.1%
제 891
 
8.2%
조 885
 
8.2%
및 572
 
5.3%
기 488
 
4.5%
용 271
 
2.5%
사 250
 
2.3%
외 249
 
2.3%
품 233
 
2.1%
공 228
 
2.1%
Other values (247) 5570
51.4%
Common
ValueCountFrequency (%)
3320
92.5%
1 119
 
3.3%
, 85
 
2.4%
2 36
 
1.0%
3 14
 
0.4%
· 7
 
0.2%
6 4
 
0.1%
5 4
 
0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10840
75.1%
ASCII 3583
 
24.8%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3320
92.7%
1 119
 
3.3%
, 85
 
2.4%
2 36
 
1.0%
3 14
 
0.4%
6 4
 
0.1%
5 4
 
0.1%
4 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 1203
 
11.1%
제 891
 
8.2%
조 885
 
8.2%
및 572
 
5.3%
기 488
 
4.5%
용 271
 
2.5%
사 250
 
2.3%
외 249
 
2.3%
품 233
 
2.1%
공 228
 
2.1%
Other values (247) 5570
51.4%
None
ValueCountFrequency (%)
· 7
100.0%

소재지
Text

Distinct793
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-11T09:46:56.432575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length51
Mean length25.134343
Min length18

Characters and Unicode

Total characters24883
Distinct characters164
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

Unique666 ?
Unique (%)67.3%

Sample

1st row경상남도 진주시 동진로264번길 12 (상대동) 외 1개 주소
2nd row경상남도 진주시 돗골로58번길 19 (상평동)
3rd row경상남도 진주시 문산읍 월아산로950번길 6
4th row경상남도 진주시 대곡면 남강로 2294 외 1개 주소
5th row경상남도 진주시 사봉면 사군로303번길 34
ValueCountFrequency (%)
경상남도 990
18.6%
진주시 990
18.6%
상평동 452
 
8.5%
상대동 147
 
2.8%
외 87
 
1.6%
주소 86
 
1.6%
문산읍 60
 
1.1%
대곡면 60
 
1.1%
1개 56
 
1.1%
진성면 49
 
0.9%
Other values (683) 2333
43.9%
2023-12-11T09:46:56.948107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4322
17.4%
상 1604
 
6.4%
진 1185
 
4.8%
주 1108
 
4.5%
남 1083
 
4.4%
도 1055
 
4.2%
1 1006
 
4.0%
경 1002
 
4.0%
시 992
 
4.0%
로 947
 
3.8%
Other values (154) 10579
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14850
59.7%
Space Separator 4322
 
17.4%
Decimal Number 4166
 
16.7%
Open Punctuation 659
 
2.6%
Close Punctuation 659
 
2.6%
Dash Punctuation 172
 
0.7%
Other Punctuation 50
 
0.2%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1604
 
10.8%
진 1185
 
8.0%
주 1108
 
7.5%
남 1083
 
7.3%
도 1055
 
7.1%
경 1002
 
6.7%
시 992
 
6.7%
로 947
 
6.4%
동 878
 
5.9%
길 550
 
3.7%
Other values (136) 4446
29.9%
Decimal Number
ValueCountFrequency (%)
1 1006
24.1%
2 546
13.1%
3 440
10.6%
5 371
 
8.9%
4 334
 
8.0%
9 317
 
7.6%
0 307
 
7.4%
6 296
 
7.1%
7 292
 
7.0%
8 257
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
L 1
 
20.0%
A 1
 
20.0%
Space Separator
ValueCountFrequency (%)
4322
100.0%
Open Punctuation
ValueCountFrequency (%)
( 659
100.0%
Close Punctuation
ValueCountFrequency (%)
) 659
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14850
59.7%
Common 10028
40.3%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1604
 
10.8%
진 1185
 
8.0%
주 1108
 
7.5%
남 1083
 
7.3%
도 1055
 
7.1%
경 1002
 
6.7%
시 992
 
6.7%
로 947
 
6.4%
동 878
 
5.9%
길 550
 
3.7%
Other values (136) 4446
29.9%
Common
ValueCountFrequency (%)
4322
43.1%
1 1006
 
10.0%
( 659
 
6.6%
) 659
 
6.6%
2 546
 
5.4%
3 440
 
4.4%
5 371
 
3.7%
4 334
 
3.3%
9 317
 
3.2%
0 307
 
3.1%
Other values (5) 1067
 
10.6%
Latin
ValueCountFrequency (%)
B 3
60.0%
L 1
 
20.0%
A 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14850
59.7%
ASCII 10033
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4322
43.1%
1 1006
 
10.0%
( 659
 
6.6%
) 659
 
6.6%
2 546
 
5.4%
3 440
 
4.4%
5 371
 
3.7%
4 334
 
3.3%
9 317
 
3.2%
0 307
 
3.1%
Other values (8) 1072
 
10.7%
Hangul
ValueCountFrequency (%)
상 1604
 
10.8%
진 1185
 
8.0%
주 1108
 
7.5%
남 1083
 
7.3%
도 1055
 
7.1%
경 1002
 
6.7%
시 992
 
6.7%
로 947
 
6.4%
동 878
 
5.9%
길 550
 
3.7%
Other values (136) 4446
29.9%

단지명
Categorical

Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
진주상평지방산업단지
524 
356 
진주정촌일반산업단지
 
21
진주대곡농공단지
 
19
진주진성농공단지
 
19
Other values (5)
 
51

Length

Max length12
Median length10
Mean length6.6676768
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row진주상평지방산업단지
2nd row진주상평지방산업단지
3rd row진주생물산업전문농공단지
4th row
5th row진주사봉농공단지

Common Values

ValueCountFrequency (%)
진주상평지방산업단지 524
52.9%
356
36.0%
진주정촌일반산업단지 21
 
2.1%
진주대곡농공단지 19
 
1.9%
진주진성농공단지 19
 
1.9%
진주사봉농공단지 18
 
1.8%
진주생물산업전문농공단지 15
 
1.5%
진주이반성농공단지 9
 
0.9%
진주실크전문농공단지 7
 
0.7%
진주일반산업단지 2
 
0.2%

Length

2023-12-11T09:46:57.074468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:46:57.181163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진주상평지방산업단지 524
82.6%
진주정촌일반산업단지 21
 
3.3%
진주대곡농공단지 19
 
3.0%
진주진성농공단지 19
 
3.0%
진주사봉농공단지 18
 
2.8%
진주생물산업전문농공단지 15
 
2.4%
진주이반성농공단지 9
 
1.4%
진주실크전문농공단지 7
 
1.1%
진주일반산업단지 2
 
0.3%

종업원수
Real number (ℝ)

Distinct75
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.813131
Minimum0
Maximum444
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T09:46:57.308176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q314
95-th percentile44.55
Maximum444
Range444
Interquartile range (IQR)10

Descriptive statistics

Standard deviation27.054497
Coefficient of variation (CV)1.9586071
Kurtosis121.16829
Mean13.813131
Median Absolute Deviation (MAD)4
Skewness9.3196495
Sum13675
Variance731.94583
MonotonicityNot monotonic
2023-12-11T09:46:57.449627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 107
 
10.8%
3 100
 
10.1%
5 94
 
9.5%
2 80
 
8.1%
10 65
 
6.6%
7 51
 
5.2%
8 51
 
5.2%
6 49
 
4.9%
9 44
 
4.4%
1 36
 
3.6%
Other values (65) 313
31.6%
ValueCountFrequency (%)
0 1
 
0.1%
1 36
 
3.6%
2 80
8.1%
3 100
10.1%
4 107
10.8%
5 94
9.5%
6 49
4.9%
7 51
5.2%
8 51
5.2%
9 44
4.4%
ValueCountFrequency (%)
444 1
0.1%
404 1
0.1%
256 1
0.1%
230 1
0.1%
195 1
0.1%
166 1
0.1%
124 1
0.1%
111 1
0.1%
110 1
0.1%
103 1
0.1%

주요생산품
Text

Distinct746
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-11T09:46:57.748655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length25
Mean length8.2010101
Min length1

Characters and Unicode

Total characters8119
Distinct characters483
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

Unique682 ?
Unique (%)68.9%

Sample

1st row육묘상자
2nd row농기계부품
3rd row버섯균사체,공액리놀레산
4th row자동차부품
5th row조선기자재배관 SPOOL
ValueCountFrequency (%)
자동차부품 67
 
4.6%
농기계부품 64
 
4.4%
및 35
 
2.4%
부품 30
 
2.0%
중장비부품 23
 
1.6%
자동차 21
 
1.4%
기어 17
 
1.2%
농기구부품 16
 
1.1%
등 14
 
1.0%
견직물 11
 
0.8%
Other values (950) 1168
79.7%
2023-12-11T09:46:58.225892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
476
 
5.9%
품 409
 
5.0%
부 398
 
4.9%
, 391
 
4.8%
기 380
 
4.7%
자 206
 
2.5%
동 203
 
2.5%
차 181
 
2.2%
농 166
 
2.0%
계 155
 
1.9%
Other values (473) 5154
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6756
83.2%
Space Separator 476
 
5.9%
Other Punctuation 412
 
5.1%
Uppercase Letter 169
 
2.1%
Open Punctuation 137
 
1.7%
Close Punctuation 135
 
1.7%
Lowercase Letter 26
 
0.3%
Decimal Number 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 409
 
6.1%
부 398
 
5.9%
기 380
 
5.6%
자 206
 
3.0%
동 203
 
3.0%
차 181
 
2.7%
농 166
 
2.5%
계 155
 
2.3%
장 133
 
2.0%
비 112
 
1.7%
Other values (431) 4413
65.3%
Uppercase Letter
ValueCountFrequency (%)
P 27
16.0%
E 19
11.2%
A 12
 
7.1%
L 12
 
7.1%
C 12
 
7.1%
S 11
 
6.5%
T 10
 
5.9%
D 9
 
5.3%
V 8
 
4.7%
O 8
 
4.7%
Other values (10) 41
24.3%
Lowercase Letter
ValueCountFrequency (%)
s 3
11.5%
a 3
11.5%
e 3
11.5%
i 3
11.5%
c 3
11.5%
n 3
11.5%
l 2
7.7%
o 1
 
3.8%
p 1
 
3.8%
h 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
1 2
25.0%
4 1
 
12.5%
3 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 391
94.9%
. 21
 
5.1%
Space Separator
ValueCountFrequency (%)
476
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6756
83.2%
Common 1168
 
14.4%
Latin 195
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 409
 
6.1%
부 398
 
5.9%
기 380
 
5.6%
자 206
 
3.0%
동 203
 
3.0%
차 181
 
2.7%
농 166
 
2.5%
계 155
 
2.3%
장 133
 
2.0%
비 112
 
1.7%
Other values (431) 4413
65.3%
Latin
ValueCountFrequency (%)
P 27
13.8%
E 19
 
9.7%
A 12
 
6.2%
L 12
 
6.2%
C 12
 
6.2%
S 11
 
5.6%
T 10
 
5.1%
D 9
 
4.6%
V 8
 
4.1%
O 8
 
4.1%
Other values (23) 67
34.4%
Common
ValueCountFrequency (%)
476
40.8%
, 391
33.5%
( 137
 
11.7%
) 135
 
11.6%
. 21
 
1.8%
2 4
 
0.3%
1 2
 
0.2%
4 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6756
83.2%
ASCII 1363
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
476
34.9%
, 391
28.7%
( 137
 
10.1%
) 135
 
9.9%
P 27
 
2.0%
. 21
 
1.5%
E 19
 
1.4%
A 12
 
0.9%
L 12
 
0.9%
C 12
 
0.9%
Other values (32) 121
 
8.9%
Hangul
ValueCountFrequency (%)
품 409
 
6.1%
부 398
 
5.9%
기 380
 
5.6%
자 206
 
3.0%
동 203
 
3.0%
차 181
 
2.7%
농 166
 
2.5%
계 155
 
2.3%
장 133
 
2.0%
비 112
 
1.7%
Other values (431) 4413
65.3%

전화번호
Text

Distinct930
Distinct (%)94.4%
Missing5
Missing (%)0.5%
Memory size7.9 KiB
2023-12-11T09:46:58.461719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009137
Min length11

Characters and Unicode

Total characters11829
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

Unique880 ?
Unique (%)89.3%

Sample

1st row055-762-4588
2nd row055-753-9396
3rd row055-762-9307
4th row055-746-0040
5th row032-887-5741
ValueCountFrequency (%)
055-794-1001 3
 
0.3%
055-762-5200 3
 
0.3%
055-758-6391 3
 
0.3%
055-758-1970 3
 
0.3%
055-759-5836 3
 
0.3%
055-763-9091 2
 
0.2%
055-757-3971 2
 
0.2%
055-743-2353 2
 
0.2%
055-752-3802 2
 
0.2%
055-758-6720 2
 
0.2%
Other values (920) 960
97.5%
2023-12-11T09:46:59.110952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3125
26.4%
- 1970
16.7%
0 1546
13.1%
7 1462
12.4%
2 608
 
5.1%
6 604
 
5.1%
1 570
 
4.8%
4 536
 
4.5%
8 511
 
4.3%
3 493
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9859
83.3%
Dash Punctuation 1970
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3125
31.7%
0 1546
15.7%
7 1462
14.8%
2 608
 
6.2%
6 604
 
6.1%
1 570
 
5.8%
4 536
 
5.4%
8 511
 
5.2%
3 493
 
5.0%
9 404
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11829
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3125
26.4%
- 1970
16.7%
0 1546
13.1%
7 1462
12.4%
2 608
 
5.1%
6 604
 
5.1%
1 570
 
4.8%
4 536
 
4.5%
8 511
 
4.3%
3 493
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11829
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3125
26.4%
- 1970
16.7%
0 1546
13.1%
7 1462
12.4%
2 608
 
5.1%
6 604
 
5.1%
1 570
 
4.8%
4 536
 
4.5%
8 511
 
4.3%
3 493
 
4.2%

Interactions

2023-12-11T09:46:54.059651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:46:59.221542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명종업원수
단지명1.0000.292
종업원수0.2921.000
2023-12-11T09:46:59.300674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수단지명
종업원수1.0000.152
단지명0.1521.000

Missing values

2023-12-11T09:46:54.241662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:46:54.379044image/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

업체명업종명소재지단지명종업원수주요생산품전화번호
0(유)동양프라스틱포장용 플라스틱 성형용기 제조업경상남도 진주시 동진로264번길 12 (상대동) 외 1개 주소진주상평지방산업단지29육묘상자055-762-4588
1(유)유창ENG농업 및 임업용 기계 제조업경상남도 진주시 돗골로58번길 19 (상평동)진주상평지방산업단지20농기계부품055-753-9396
2(주)HK바이오텍건강기능식품 제조업 외 1 종경상남도 진주시 문산읍 월아산로950번길 6진주생물산업전문농공단지9버섯균사체,공액리놀레산055-762-9307
3(주)HM금속선철주물 주조업경상남도 진주시 대곡면 남강로 2294 외 1개 주소66자동차부품055-746-0040
4(주)거산피앤에프선박 구성부분품 제조업경상남도 진주시 사봉면 사군로303번길 34진주사봉농공단지7조선기자재배관 SPOOL032-887-5741
5(주)경남일보신문 발행업경상남도 진주시 남강로 1065 (상평동)65일간신문055-751-1000
6(주)경남철공구조용 금속판제품 및 금속공작물 제조업경상남도 진주시 공단로 80 (상평동)진주상평지방산업단지8금속문055-752-3205
7(주)경신석면, 암면 및 유사제품 제조업경상남도 진주시 명석면 남성로689번길 11524모래(골재)055-746-6886
8(주)경원1급정비자동차 종합 수리업경상남도 진주시 공단로 174 (상평동)진주상평지방산업단지26자동차정비055-752-6029
9(주)경주빵빵류 제조업경상남도 진주시 평거로258번길 21 (이현동)35빵류(경주빵)055-745-8424
업체명업종명소재지단지명종업원수주요생산품전화번호
980화진철강공업사구조용 금속판제품 및 금속공작물 제조업경상남도 진주시 큰들로 149 (상평동)진주상평지방산업단지1건축잡자재,통신기기부품055-755-2220
981환덕견직견직물 직조업경상남도 진주시 대곡면 남강로 23023한복지(한복안지)055-745-6640
982회성정공절삭가공 및 유사처리업경상남도 진주시 돗골로25번길 16-4 (상평동)2농기계부품(차축)055-753-6788
983효성산업도장 및 기타 피막처리업경상남도 진주시 대신로147번길 18 (상평동)진주상평지방산업단지22도장055-755-3661
984효창유리판유리 가공품 제조업경상남도 진주시 솔밭로 28 (상평동)진주상평지방산업단지4거울055-753-1840
985휴먼바이오텍(주)생물학적 제제 제조업경상남도 진주시 문산읍 월아산로 991, 바이오21센터 생산동 201호, 202호2줄기세포 및 배양물055-763-6127
986흥성공업(주)기어 및 동력전달장치 제조업경상남도 진주시 남강로 1363 (상대동)진주상평지방산업단지14중장비부품055-762-0674
987흥일기계기어 및 동력전달장치 제조업경상남도 진주시 동진로311번길 12 (상대동)진주상평지방산업단지5기어055-753-3506
988흥진ENG주형 및 금형 제조업경상남도 진주시 남강로1179번길 10-4 (상평동)4주형(금형)055-752-8614
989흥한산업(주)토목공사 및 유사용 기계장비 제조업경상남도 진주시 도동로 134 (상대동)진주상평지방산업단지7중장비부품(토목공사및 유사품제조)055-752-7100