Overview

Dataset statistics

Number of variables7
Number of observations1134
Missing cells15
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.3 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

Alerts

전화번호 has 15 (1.3%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:47:19.941835
Analysis finished2023-12-11 00:47:20.987388
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct1106
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-11T09:47:21.207591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length6.212522
Min length2

Characters and Unicode

Total characters7045
Distinct characters410
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

Unique1079 ?
Unique (%)95.1%

Sample

1st row(유)동양프라스틱
2nd row(유)유창ENG
3rd row(주)HK바이오텍
4th row(주)HM금속
5th row(주)SM TECH
ValueCountFrequency (%)
제2공장 12
 
1.0%
주식회사 11
 
0.9%
주)성광 4
 
0.3%
진주지점 4
 
0.3%
대양산업 3
 
0.2%
영농조합법인 3
 
0.2%
성화산업(주 3
 
0.2%
진주공장 3
 
0.2%
농업회사법인 3
 
0.2%
주)세진기업 2
 
0.2%
Other values (1111) 1159
96.0%
2023-12-11T09:47:21.729870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 497
 
7.1%
( 418
 
5.9%
) 418
 
5.9%
업 313
 
4.4%
공 287
 
4.1%
정 188
 
2.7%
사 160
 
2.3%
성 152
 
2.2%
진 142
 
2.0%
산 138
 
2.0%
Other values (400) 4332
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5972
84.8%
Open Punctuation 418
 
5.9%
Close Punctuation 418
 
5.9%
Uppercase Letter 108
 
1.5%
Space Separator 74
 
1.1%
Decimal Number 36
 
0.5%
Other Punctuation 14
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 497
 
8.3%
업 313
 
5.2%
공 287
 
4.8%
정 188
 
3.1%
사 160
 
2.7%
성 152
 
2.5%
진 142
 
2.4%
산 138
 
2.3%
대 126
 
2.1%
기 125
 
2.1%
Other values (366) 3844
64.4%
Uppercase Letter
ValueCountFrequency (%)
N 13
12.0%
E 13
12.0%
G 13
12.0%
S 12
11.1%
T 9
8.3%
M 8
7.4%
C 8
7.4%
H 6
 
5.6%
K 5
 
4.6%
P 3
 
2.8%
Other values (11) 18
16.7%
Decimal Number
ValueCountFrequency (%)
2 26
72.2%
3 6
 
16.7%
1 3
 
8.3%
4 1
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
o 2
40.0%
e 1
20.0%
f 1
20.0%
d 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 11
78.6%
& 3
 
21.4%
Open Punctuation
ValueCountFrequency (%)
( 418
100.0%
Close Punctuation
ValueCountFrequency (%)
) 418
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5972
84.8%
Common 960
 
13.6%
Latin 113
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 497
 
8.3%
업 313
 
5.2%
공 287
 
4.8%
정 188
 
3.1%
사 160
 
2.7%
성 152
 
2.5%
진 142
 
2.4%
산 138
 
2.3%
대 126
 
2.1%
기 125
 
2.1%
Other values (366) 3844
64.4%
Latin
ValueCountFrequency (%)
N 13
11.5%
E 13
11.5%
G 13
11.5%
S 12
10.6%
T 9
 
8.0%
M 8
 
7.1%
C 8
 
7.1%
H 6
 
5.3%
K 5
 
4.4%
P 3
 
2.7%
Other values (15) 23
20.4%
Common
ValueCountFrequency (%)
( 418
43.5%
) 418
43.5%
74
 
7.7%
2 26
 
2.7%
. 11
 
1.1%
3 6
 
0.6%
1 3
 
0.3%
& 3
 
0.3%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5972
84.8%
ASCII 1073
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 497
 
8.3%
업 313
 
5.2%
공 287
 
4.8%
정 188
 
3.1%
사 160
 
2.7%
성 152
 
2.5%
진 142
 
2.4%
산 138
 
2.3%
대 126
 
2.1%
기 125
 
2.1%
Other values (366) 3844
64.4%
ASCII
ValueCountFrequency (%)
( 418
39.0%
) 418
39.0%
74
 
6.9%
2 26
 
2.4%
N 13
 
1.2%
E 13
 
1.2%
G 13
 
1.2%
S 12
 
1.1%
. 11
 
1.0%
T 9
 
0.8%
Other values (24) 66
 
6.2%

업종명
Text

Distinct324
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-11T09:47:22.095663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length14.686067
Min length3

Characters and Unicode

Total characters16654
Distinct characters276
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

Unique180 ?
Unique (%)15.9%

Sample

1st row포장용 플라스틱 성형용기 제조업
2nd row농업 및 임업용 기계 제조업
3rd row건강기능식품 제조업 외 1 종
4th row선철주물 주조업
5th row주형 및 금형 제조업
ValueCountFrequency (%)
제조업 826
 
16.6%
및 655
 
13.1%
종 216
 
4.3%
외 216
 
4.3%
기타 174
 
3.5%
절삭가공 169
 
3.4%
유사처리업 169
 
3.4%
1 133
 
2.7%
기계 120
 
2.4%
농업 114
 
2.3%
Other values (400) 2191
44.0%
2023-12-11T09:47:22.711346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3849
23.1%
업 1379
 
8.3%
조 1003
 
6.0%
제 991
 
6.0%
및 655
 
3.9%
기 556
 
3.3%
용 308
 
1.8%
외 307
 
1.8%
사 296
 
1.8%
공 285
 
1.7%
Other values (266) 7025
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12471
74.9%
Space Separator 3849
 
23.1%
Decimal Number 228
 
1.4%
Other Punctuation 106
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1379
 
11.1%
조 1003
 
8.0%
제 991
 
7.9%
및 655
 
5.3%
기 556
 
4.5%
용 308
 
2.5%
외 307
 
2.5%
사 296
 
2.4%
공 285
 
2.3%
품 265
 
2.1%
Other values (255) 6426
51.5%
Decimal Number
ValueCountFrequency (%)
1 144
63.2%
2 44
 
19.3%
3 24
 
10.5%
5 5
 
2.2%
6 4
 
1.8%
4 4
 
1.8%
7 2
 
0.9%
8 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 98
92.5%
· 8
 
7.5%
Space Separator
ValueCountFrequency (%)
3849
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12471
74.9%
Common 4183
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1379
 
11.1%
조 1003
 
8.0%
제 991
 
7.9%
및 655
 
5.3%
기 556
 
4.5%
용 308
 
2.5%
외 307
 
2.5%
사 296
 
2.4%
공 285
 
2.3%
품 265
 
2.1%
Other values (255) 6426
51.5%
Common
ValueCountFrequency (%)
3849
92.0%
1 144
 
3.4%
, 98
 
2.3%
2 44
 
1.1%
3 24
 
0.6%
· 8
 
0.2%
5 5
 
0.1%
6 4
 
0.1%
4 4
 
0.1%
7 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12471
74.9%
ASCII 4175
 
25.1%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3849
92.2%
1 144
 
3.4%
, 98
 
2.3%
2 44
 
1.1%
3 24
 
0.6%
5 5
 
0.1%
6 4
 
0.1%
4 4
 
0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 1379
 
11.1%
조 1003
 
8.0%
제 991
 
7.9%
및 655
 
5.3%
기 556
 
4.5%
용 308
 
2.5%
외 307
 
2.5%
사 296
 
2.4%
공 285
 
2.3%
품 265
 
2.1%
Other values (255) 6426
51.5%
None
ValueCountFrequency (%)
· 8
100.0%

소재지
Text

Distinct928
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-11T09:47:23.014964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length54
Mean length25.516755
Min length18

Characters and Unicode

Total characters28936
Distinct characters209
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

Unique793 ?
Unique (%)69.9%

Sample

1st row경상남도 진주시 동진로264번길 12 (상대동)
2nd row경상남도 진주시 돗골로58번길 19 (상평동)
3rd row경상남도 진주시 문산읍 월아산로950번길 6
4th row경상남도 진주시 대곡면 남강로 2294
5th row경상남도 진주시 사봉면 산업단지로44번길 22
ValueCountFrequency (%)
경상남도 1134
18.7%
진주시 1134
18.7%
상평동 453
 
7.5%
상대동 147
 
2.4%
정촌면 95
 
1.6%
문산읍 85
 
1.4%
대곡면 66
 
1.1%
사봉면 62
 
1.0%
진성면 51
 
0.8%
총 48
 
0.8%
Other values (797) 2779
45.9%
2023-12-11T09:47:23.483670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4955
 
17.1%
상 1758
 
6.1%
진 1356
 
4.7%
남 1238
 
4.3%
도 1198
 
4.1%
주 1192
 
4.1%
경 1160
 
4.0%
시 1137
 
3.9%
1 1109
 
3.8%
로 1089
 
3.8%
Other values (199) 12744
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17283
59.7%
Space Separator 4955
 
17.1%
Decimal Number 4838
 
16.7%
Open Punctuation 768
 
2.7%
Close Punctuation 764
 
2.6%
Dash Punctuation 218
 
0.8%
Other Punctuation 88
 
0.3%
Uppercase Letter 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1758
 
10.2%
진 1356
 
7.8%
남 1238
 
7.2%
도 1198
 
6.9%
주 1192
 
6.9%
경 1160
 
6.7%
시 1137
 
6.6%
로 1089
 
6.3%
동 916
 
5.3%
길 650
 
3.8%
Other values (176) 5589
32.3%
Decimal Number
ValueCountFrequency (%)
1 1109
22.9%
2 637
13.2%
3 467
9.7%
4 448
9.3%
5 435
 
9.0%
9 379
 
7.8%
6 367
 
7.6%
0 347
 
7.2%
7 333
 
6.9%
8 316
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
B 9
40.9%
C 4
18.2%
A 2
 
9.1%
L 2
 
9.1%
S 2
 
9.1%
E 2
 
9.1%
K 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 87
98.9%
& 1
 
1.1%
Space Separator
ValueCountFrequency (%)
4955
100.0%
Open Punctuation
ValueCountFrequency (%)
( 768
100.0%
Close Punctuation
ValueCountFrequency (%)
) 764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17283
59.7%
Common 11631
40.2%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1758
 
10.2%
진 1356
 
7.8%
남 1238
 
7.2%
도 1198
 
6.9%
주 1192
 
6.9%
경 1160
 
6.7%
시 1137
 
6.6%
로 1089
 
6.3%
동 916
 
5.3%
길 650
 
3.8%
Other values (176) 5589
32.3%
Common
ValueCountFrequency (%)
4955
42.6%
1 1109
 
9.5%
( 768
 
6.6%
) 764
 
6.6%
2 637
 
5.5%
3 467
 
4.0%
4 448
 
3.9%
5 435
 
3.7%
9 379
 
3.3%
6 367
 
3.2%
Other values (6) 1302
 
11.2%
Latin
ValueCountFrequency (%)
B 9
40.9%
C 4
18.2%
A 2
 
9.1%
L 2
 
9.1%
S 2
 
9.1%
E 2
 
9.1%
K 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17283
59.7%
ASCII 11653
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4955
42.5%
1 1109
 
9.5%
( 768
 
6.6%
) 764
 
6.6%
2 637
 
5.5%
3 467
 
4.0%
4 448
 
3.8%
5 435
 
3.7%
9 379
 
3.3%
6 367
 
3.1%
Other values (13) 1324
 
11.4%
Hangul
ValueCountFrequency (%)
상 1758
 
10.2%
진 1356
 
7.8%
남 1238
 
7.2%
도 1198
 
6.9%
주 1192
 
6.9%
경 1160
 
6.7%
시 1137
 
6.6%
로 1089
 
6.3%
동 916
 
5.3%
길 650
 
3.8%
Other values (176) 5589
32.3%

단지명
Categorical

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
진주상평지방산업단지
520 
399 
진주정촌일반산업단지
87 
진주일반산업단지
 
30
진주대곡농공단지
 
21
Other values (6)
77 

Length

Max length12
Median length10
Mean length6.7045855
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진주상평지방산업단지 520
45.9%
399
35.2%
진주정촌일반산업단지 87
 
7.7%
진주일반산업단지 30
 
2.6%
진주대곡농공단지 21
 
1.9%
진주실크전문농공단지 19
 
1.7%
진주사봉농공단지 17
 
1.5%
진주진성농공단지 16
 
1.4%
진주생물산업전문농공단지 15
 
1.3%
진주이반성농공단지 8
 
0.7%

Length

2023-12-11T09:47:23.639666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
진주상평지방산업단지 520
70.7%
진주정촌일반산업단지 87
 
11.8%
진주일반산업단지 30
 
4.1%
진주대곡농공단지 21
 
2.9%
진주실크전문농공단지 19
 
2.6%
진주사봉농공단지 17
 
2.3%
진주진성농공단지 16
 
2.2%
진주생물산업전문농공단지 15
 
2.0%
진주이반성농공단지 8
 
1.1%
진주지수일반산업단지 2
 
0.3%

종업원수
Real number (ℝ)

Distinct82
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.674603
Minimum0
Maximum444
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2023-12-11T09:47:23.775959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q314
95-th percentile43
Maximum444
Range444
Interquartile range (IQR)10

Descriptive statistics

Standard deviation26.853118
Coefficient of variation (CV)1.9637219
Kurtosis129.49861
Mean13.674603
Median Absolute Deviation (MAD)4
Skewness9.5637288
Sum15507
Variance721.08996
MonotonicityNot monotonic
2023-12-11T09:47:23.933493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 118
 
10.4%
5 114
 
10.1%
4 107
 
9.4%
2 89
 
7.8%
10 71
 
6.3%
6 70
 
6.2%
8 59
 
5.2%
7 56
 
4.9%
9 53
 
4.7%
1 45
 
4.0%
Other values (72) 352
31.0%
ValueCountFrequency (%)
0 2
 
0.2%
1 45
 
4.0%
2 89
7.8%
3 118
10.4%
4 107
9.4%
5 114
10.1%
6 70
6.2%
7 56
4.9%
8 59
5.2%
9 53
4.7%
ValueCountFrequency (%)
444 1
0.1%
440 1
0.1%
290 1
0.1%
230 1
0.1%
168 1
0.1%
151 1
0.1%
150 1
0.1%
140 1
0.1%
119 1
0.1%
110 1
0.1%

주요생산품
Text

Distinct877
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-11T09:47:24.180471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length8.6164021
Min length1

Characters and Unicode

Total characters9771
Distinct characters517
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

Unique801 ?
Unique (%)70.6%

Sample

1st row육묘상자
2nd row농기계부품
3rd row버섯균사체,공액리놀레산
4th row자동차부품
5th row자동차중장비부품(금형)
ValueCountFrequency (%)
농기계부품 68
 
3.7%
자동차부품 65
 
3.6%
및 52
 
2.9%
등 40
 
2.2%
부품 36
 
2.0%
자동차 31
 
1.7%
기어 22
 
1.2%
중장비부품 20
 
1.1%
농기구부품 16
 
0.9%
중장비 16
 
0.9%
Other values (1140) 1456
79.9%
2023-12-11T09:47:24.620840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
691
 
7.1%
, 504
 
5.2%
기 481
 
4.9%
품 468
 
4.8%
부 441
 
4.5%
자 218
 
2.2%
동 212
 
2.2%
차 194
 
2.0%
농 193
 
2.0%
계 190
 
1.9%
Other values (507) 6179
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8014
82.0%
Space Separator 691
 
7.1%
Other Punctuation 521
 
5.3%
Uppercase Letter 206
 
2.1%
Open Punctuation 156
 
1.6%
Close Punctuation 154
 
1.6%
Lowercase Letter 21
 
0.2%
Decimal Number 7
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 481
 
6.0%
품 468
 
5.8%
부 441
 
5.5%
자 218
 
2.7%
동 212
 
2.6%
차 194
 
2.4%
농 193
 
2.4%
계 190
 
2.4%
장 154
 
1.9%
조 122
 
1.5%
Other values (463) 5341
66.6%
Uppercase Letter
ValueCountFrequency (%)
P 30
14.6%
E 21
10.2%
C 19
 
9.2%
A 15
 
7.3%
L 15
 
7.3%
T 14
 
6.8%
V 12
 
5.8%
D 11
 
5.3%
S 10
 
4.9%
O 9
 
4.4%
Other values (12) 50
24.3%
Lowercase Letter
ValueCountFrequency (%)
s 4
19.0%
a 3
14.3%
c 2
9.5%
k 2
9.5%
p 2
9.5%
y 1
 
4.8%
i 1
 
4.8%
n 1
 
4.8%
r 1
 
4.8%
h 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
3 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 504
96.7%
. 17
 
3.3%
Space Separator
ValueCountFrequency (%)
691
100.0%
Open Punctuation
ValueCountFrequency (%)
( 156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8014
82.0%
Common 1530
 
15.7%
Latin 227
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 481
 
6.0%
품 468
 
5.8%
부 441
 
5.5%
자 218
 
2.7%
동 212
 
2.6%
차 194
 
2.4%
농 193
 
2.4%
계 190
 
2.4%
장 154
 
1.9%
조 122
 
1.5%
Other values (463) 5341
66.6%
Latin
ValueCountFrequency (%)
P 30
13.2%
E 21
 
9.3%
C 19
 
8.4%
A 15
 
6.6%
L 15
 
6.6%
T 14
 
6.2%
V 12
 
5.3%
D 11
 
4.8%
S 10
 
4.4%
O 9
 
4.0%
Other values (25) 71
31.3%
Common
ValueCountFrequency (%)
691
45.2%
, 504
32.9%
( 156
 
10.2%
) 154
 
10.1%
. 17
 
1.1%
2 4
 
0.3%
1 2
 
0.1%
3 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8014
82.0%
ASCII 1757
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
691
39.3%
, 504
28.7%
( 156
 
8.9%
) 154
 
8.8%
P 30
 
1.7%
E 21
 
1.2%
C 19
 
1.1%
. 17
 
1.0%
A 15
 
0.9%
L 15
 
0.9%
Other values (34) 135
 
7.7%
Hangul
ValueCountFrequency (%)
기 481
 
6.0%
품 468
 
5.8%
부 441
 
5.5%
자 218
 
2.7%
동 212
 
2.6%
차 194
 
2.4%
농 193
 
2.4%
계 190
 
2.4%
장 154
 
1.9%
조 122
 
1.5%
Other values (463) 5341
66.6%

전화번호
Text

MISSING 

Distinct1045
Distinct (%)93.4%
Missing15
Missing (%)1.3%
Memory size9.0 KiB
2023-12-11T09:47:24.900979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016979
Min length12

Characters and Unicode

Total characters13447
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

Unique976 ?
Unique (%)87.2%

Sample

1st row055-762-4588
2nd row055-753-9396
3rd row055-762-9307
4th row055-746-0040
5th row055-757-1484
ValueCountFrequency (%)
055-758-6720 3
 
0.3%
055-762-5200 3
 
0.3%
055-759-5836 3
 
0.3%
055-749-3200 3
 
0.3%
055-758-1970 3
 
0.3%
055-761-8430 2
 
0.2%
055-761-6237 2
 
0.2%
055-758-6248 2
 
0.2%
055-758-7766 2
 
0.2%
055-762-8564 2
 
0.2%
Other values (1035) 1094
97.8%
2023-12-11T09:47:25.279664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3475
25.8%
- 2238
16.6%
0 1787
13.3%
7 1646
12.2%
6 709
 
5.3%
2 700
 
5.2%
1 652
 
4.8%
4 605
 
4.5%
8 600
 
4.5%
3 578
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11209
83.4%
Dash Punctuation 2238
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3475
31.0%
0 1787
15.9%
7 1646
14.7%
6 709
 
6.3%
2 700
 
6.2%
1 652
 
5.8%
4 605
 
5.4%
8 600
 
5.4%
3 578
 
5.2%
9 457
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 2238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13447
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3475
25.8%
- 2238
16.6%
0 1787
13.3%
7 1646
12.2%
6 709
 
5.3%
2 700
 
5.2%
1 652
 
4.8%
4 605
 
4.5%
8 600
 
4.5%
3 578
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13447
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3475
25.8%
- 2238
16.6%
0 1787
13.3%
7 1646
12.2%
6 709
 
5.3%
2 700
 
5.2%
1 652
 
4.8%
4 605
 
4.5%
8 600
 
4.5%
3 578
 
4.3%

Interactions

2023-12-11T09:47:20.676272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:47:25.379724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명종업원수
단지명1.0000.337
종업원수0.3371.000
2023-12-11T09:47:25.476712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수단지명
종업원수1.0000.173
단지명0.1731.000

Missing values

2023-12-11T09:47:20.788515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:47:20.932074image/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)진주상평지방산업단지29육묘상자055-762-4588
1(유)유창ENG농업 및 임업용 기계 제조업경상남도 진주시 돗골로58번길 19 (상평동)진주상평지방산업단지20농기계부품055-753-9396
2(주)HK바이오텍건강기능식품 제조업 외 1 종경상남도 진주시 문산읍 월아산로950번길 6진주생물산업전문농공단지17버섯균사체,공액리놀레산055-762-9307
3(주)HM금속선철주물 주조업경상남도 진주시 대곡면 남강로 229466자동차부품055-746-0040
4(주)SM TECH주형 및 금형 제조업경상남도 진주시 사봉면 산업단지로44번길 22진주일반산업단지8자동차중장비부품(금형)055-757-1484
5(주)가야데이터컴퓨터 제조업 외 1 종경상남도 진주시 정촌면 연꽃로165번길 5진주정촌일반산업단지9반도체메모리스토리지시스템055-790-9598
6(주)거산피앤에프선박 구성부분품 제조업경상남도 진주시 사봉면 사군로303번길 34진주사봉농공단지7조선기자재배관 SPOOL055-759-7080
7(주)경남일보신문 발행업경상남도 진주시 남강로 1065 (상평동, 경남일보)65일간신문055-751-1000
8(주)경남철공구조용 금속판제품 및 금속공작물 제조업경상남도 진주시 공단로 80 (상평동)진주상평지방산업단지8금속문055-752-3205
9(주)경남특장차차체 및 특장차 제조업경상남도 진주시 정촌면 연꽃로165번길 7진주정촌일반산업단지20특장차055-757-1683
업체명업종명소재지단지명종업원수주요생산품전화번호
1124효산테크주형 및 금형 제조업경상남도 진주시 대곡면 진의로 12204자동차 프레스 금형<NA>
1125효성산업(주)도장 및 기타 피막처리업경상남도 진주시 대신로147번길 18 (상평동)진주상평지방산업단지22도장055-755-3661
1126효은철강그외 기타 분류안된 금속가공제품 제조업경상남도 진주시 진성면 동부로 1448 (진성면 동산리 109-3 제2종근린생활시설 ( )5농산물운반대, 건조대,파레트랙055-742-7747
1127효창유리판유리 가공품 제조업경상남도 진주시 솔밭로 28 (상평동)진주상평지방산업단지4거울055-753-1840
1128휴먼바이오텍(주)생물학적 제제 제조업경상남도 진주시 문산읍 월아산로 999-43, 바이오21센터 생산동 201호, 202호3줄기세포 및 배양물055-763-6127
1129휴엠케이(주)금속 조립구조재 제조업 외 2 종경상남도 진주시 정촌면 산업로79번길 6진주정촌일반산업단지5KAAV 구난 위치 창정비, 전술모의 장비 등055-286-9316
1130흥성공업(주)기어 및 동력전달장치 제조업경상남도 진주시 남강로1367번길 5 (상대동)진주상평지방산업단지14중장비부품055-762-0674
1131흥일기계기어 및 동력전달장치 제조업경상남도 진주시 동진로311번길 12 (상대동)진주상평지방산업단지5기어055-753-3506
1132흥진ENG주형 및 금형 제조업경상남도 진주시 남강로1179번길 10-4 (상평동)4주형(금형)055-752-8614
1133희석정밀공업절삭가공 및 유사처리업경상남도 진주시 명석면 광제산로610번길 115자동차부품055-745-3610