Overview

Dataset statistics

Number of variables7
Number of observations1141
Missing cells19
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.6 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 19 (1.7%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:46:39.891886
Analysis finished2023-12-11 00:46:40.993124
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct1112
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-11T09:46:41.240208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length6.219106
Min length2

Characters and Unicode

Total characters7096
Distinct characters415
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

Unique1085 ?
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 (%)
주식회사 11
 
0.9%
제2공장 10
 
0.8%
진주공장 5
 
0.4%
진주지점 4
 
0.3%
농업회사법인 4
 
0.3%
주)성광 4
 
0.3%
성화산업(주 3
 
0.2%
대영정밀 3
 
0.2%
대양산업 3
 
0.2%
영농조합법인 3
 
0.2%
Other values (1119) 1164
95.9%
2023-12-11T09:46:41.690246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 505
 
7.1%
( 426
 
6.0%
) 426
 
6.0%
업 315
 
4.4%
공 284
 
4.0%
정 188
 
2.6%
사 162
 
2.3%
성 147
 
2.1%
진 146
 
2.1%
산 140
 
2.0%
Other values (405) 4357
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6012
84.7%
Open Punctuation 426
 
6.0%
Close Punctuation 426
 
6.0%
Uppercase Letter 110
 
1.6%
Space Separator 74
 
1.0%
Decimal Number 32
 
0.5%
Other Punctuation 11
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 505
 
8.4%
업 315
 
5.2%
공 284
 
4.7%
정 188
 
3.1%
사 162
 
2.7%
성 147
 
2.4%
진 146
 
2.4%
산 140
 
2.3%
대 128
 
2.1%
기 121
 
2.0%
Other values (371) 3876
64.5%
Uppercase Letter
ValueCountFrequency (%)
N 14
12.7%
G 13
11.8%
E 13
11.8%
S 12
10.9%
T 9
8.2%
C 8
7.3%
M 7
 
6.4%
H 6
 
5.5%
P 5
 
4.5%
K 5
 
4.5%
Other values (11) 18
16.4%
Decimal Number
ValueCountFrequency (%)
2 24
75.0%
3 6
 
18.8%
1 1
 
3.1%
4 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
o 2
40.0%
e 1
20.0%
f 1
20.0%
d 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
& 4
36.4%
Open Punctuation
ValueCountFrequency (%)
( 426
100.0%
Close Punctuation
ValueCountFrequency (%)
) 426
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6012
84.7%
Common 969
 
13.7%
Latin 115
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 505
 
8.4%
업 315
 
5.2%
공 284
 
4.7%
정 188
 
3.1%
사 162
 
2.7%
성 147
 
2.4%
진 146
 
2.4%
산 140
 
2.3%
대 128
 
2.1%
기 121
 
2.0%
Other values (371) 3876
64.5%
Latin
ValueCountFrequency (%)
N 14
12.2%
G 13
11.3%
E 13
11.3%
S 12
10.4%
T 9
 
7.8%
C 8
 
7.0%
M 7
 
6.1%
H 6
 
5.2%
P 5
 
4.3%
K 5
 
4.3%
Other values (15) 23
20.0%
Common
ValueCountFrequency (%)
( 426
44.0%
) 426
44.0%
74
 
7.6%
2 24
 
2.5%
. 7
 
0.7%
3 6
 
0.6%
& 4
 
0.4%
1 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6012
84.7%
ASCII 1084
 
15.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 505
 
8.4%
업 315
 
5.2%
공 284
 
4.7%
정 188
 
3.1%
사 162
 
2.7%
성 147
 
2.4%
진 146
 
2.4%
산 140
 
2.3%
대 128
 
2.1%
기 121
 
2.0%
Other values (371) 3876
64.5%
ASCII
ValueCountFrequency (%)
( 426
39.3%
) 426
39.3%
74
 
6.8%
2 24
 
2.2%
N 14
 
1.3%
G 13
 
1.2%
E 13
 
1.2%
S 12
 
1.1%
T 9
 
0.8%
C 8
 
0.7%
Other values (24) 65
 
6.0%

업종명
Text

Distinct331
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-11T09:46:42.059783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length14.681858
Min length3

Characters and Unicode

Total characters16752
Distinct characters278
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

Unique184 ?
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 row주형 및 금형 제조업
ValueCountFrequency (%)
제조업 828
 
16.5%
및 649
 
13.0%
종 224
 
4.5%
외 224
 
4.5%
기타 176
 
3.5%
절삭가공 168
 
3.4%
유사처리업 168
 
3.4%
1 143
 
2.9%
기계 118
 
2.4%
농업 112
 
2.2%
Other values (407) 2201
43.9%
2023-12-11T09:46:42.619359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3870
23.1%
업 1381
 
8.2%
조 1007
 
6.0%
제 994
 
5.9%
및 649
 
3.9%
기 562
 
3.4%
외 315
 
1.9%
용 307
 
1.8%
사 290
 
1.7%
공 284
 
1.7%
Other values (268) 7093
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12541
74.9%
Space Separator 3870
 
23.1%
Decimal Number 235
 
1.4%
Other Punctuation 106
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1381
 
11.0%
조 1007
 
8.0%
제 994
 
7.9%
및 649
 
5.2%
기 562
 
4.5%
외 315
 
2.5%
용 307
 
2.4%
사 290
 
2.3%
공 284
 
2.3%
품 263
 
2.1%
Other values (257) 6489
51.7%
Decimal Number
ValueCountFrequency (%)
1 153
65.1%
2 43
 
18.3%
3 24
 
10.2%
5 4
 
1.7%
6 4
 
1.7%
7 3
 
1.3%
4 3
 
1.3%
8 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 98
92.5%
· 8
 
7.5%
Space Separator
ValueCountFrequency (%)
3870
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12541
74.9%
Common 4211
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1381
 
11.0%
조 1007
 
8.0%
제 994
 
7.9%
및 649
 
5.2%
기 562
 
4.5%
외 315
 
2.5%
용 307
 
2.4%
사 290
 
2.3%
공 284
 
2.3%
품 263
 
2.1%
Other values (257) 6489
51.7%
Common
ValueCountFrequency (%)
3870
91.9%
1 153
 
3.6%
, 98
 
2.3%
2 43
 
1.0%
3 24
 
0.6%
· 8
 
0.2%
5 4
 
0.1%
6 4
 
0.1%
7 3
 
0.1%
4 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12541
74.9%
ASCII 4203
 
25.1%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3870
92.1%
1 153
 
3.6%
, 98
 
2.3%
2 43
 
1.0%
3 24
 
0.6%
5 4
 
0.1%
6 4
 
0.1%
7 3
 
0.1%
4 3
 
0.1%
8 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 1381
 
11.0%
조 1007
 
8.0%
제 994
 
7.9%
및 649
 
5.2%
기 562
 
4.5%
외 315
 
2.5%
용 307
 
2.4%
사 290
 
2.3%
공 284
 
2.3%
품 263
 
2.1%
Other values (257) 6489
51.7%
None
ValueCountFrequency (%)
· 8
100.0%

소재지
Text

Distinct944
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-11T09:46:42.874789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length57
Mean length26.258545
Min length18

Characters and Unicode

Total characters29961
Distinct characters220
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

Unique812 ?
Unique (%)71.2%

Sample

1st row경상남도 진주시 동진로264번길 12 (상대동) (총 2 필지)
2nd row경상남도 진주시 돗골로58번길 19 (상평동)
3rd row경상남도 진주시 문산읍 월아산로950번길 6
4th row경상남도 진주시 대곡면 남강로 2294 (총 2 필지)
5th row경상남도 진주시 사봉면 산업단지로44번길 22
ValueCountFrequency (%)
경상남도 1141
 
18.0%
진주시 1141
 
18.0%
상평동 449
 
7.1%
상대동 141
 
2.2%
총 126
 
2.0%
필지 126
 
2.0%
정촌면 99
 
1.6%
2 92
 
1.4%
문산읍 88
 
1.4%
사봉면 74
 
1.2%
Other values (819) 2869
45.2%
2023-12-11T09:46:43.337143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5235
 
17.5%
상 1754
 
5.9%
진 1364
 
4.6%
남 1248
 
4.2%
주 1203
 
4.0%
도 1202
 
4.0%
경 1166
 
3.9%
시 1142
 
3.8%
1 1111
 
3.7%
로 1093
 
3.6%
Other values (210) 13443
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17729
59.2%
Space Separator 5235
 
17.5%
Decimal Number 4959
 
16.6%
Open Punctuation 855
 
2.9%
Close Punctuation 848
 
2.8%
Dash Punctuation 225
 
0.8%
Other Punctuation 88
 
0.3%
Uppercase Letter 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1754
 
9.9%
진 1364
 
7.7%
남 1248
 
7.0%
주 1203
 
6.8%
도 1202
 
6.8%
경 1166
 
6.6%
시 1142
 
6.4%
로 1093
 
6.2%
동 900
 
5.1%
길 649
 
3.7%
Other values (187) 6008
33.9%
Decimal Number
ValueCountFrequency (%)
1 1111
22.4%
2 694
14.0%
3 483
9.7%
4 467
9.4%
5 442
 
8.9%
9 387
 
7.8%
6 370
 
7.5%
0 354
 
7.1%
7 332
 
6.7%
8 319
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 9
40.9%
C 4
18.2%
L 2
 
9.1%
E 2
 
9.1%
S 2
 
9.1%
A 2
 
9.1%
K 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 87
98.9%
& 1
 
1.1%
Space Separator
ValueCountFrequency (%)
5235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 855
100.0%
Close Punctuation
ValueCountFrequency (%)
) 848
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 225
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17729
59.2%
Common 12210
40.8%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1754
 
9.9%
진 1364
 
7.7%
남 1248
 
7.0%
주 1203
 
6.8%
도 1202
 
6.8%
경 1166
 
6.6%
시 1142
 
6.4%
로 1093
 
6.2%
동 900
 
5.1%
길 649
 
3.7%
Other values (187) 6008
33.9%
Common
ValueCountFrequency (%)
5235
42.9%
1 1111
 
9.1%
( 855
 
7.0%
) 848
 
6.9%
2 694
 
5.7%
3 483
 
4.0%
4 467
 
3.8%
5 442
 
3.6%
9 387
 
3.2%
6 370
 
3.0%
Other values (6) 1318
 
10.8%
Latin
ValueCountFrequency (%)
B 9
40.9%
C 4
18.2%
L 2
 
9.1%
E 2
 
9.1%
S 2
 
9.1%
A 2
 
9.1%
K 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17729
59.2%
ASCII 12232
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5235
42.8%
1 1111
 
9.1%
( 855
 
7.0%
) 848
 
6.9%
2 694
 
5.7%
3 483
 
3.9%
4 467
 
3.8%
5 442
 
3.6%
9 387
 
3.2%
6 370
 
3.0%
Other values (13) 1340
 
11.0%
Hangul
ValueCountFrequency (%)
상 1754
 
9.9%
진 1364
 
7.7%
남 1248
 
7.0%
주 1203
 
6.8%
도 1202
 
6.8%
경 1166
 
6.6%
시 1142
 
6.4%
로 1093
 
6.2%
동 900
 
5.1%
길 649
 
3.7%
Other values (187) 6008
33.9%

단지명
Categorical

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
진주상평지방산업단지
510 
403 
진주정촌일반산업단지
91 
진주일반산업단지
 
37
진주대곡농공단지
 
21
Other values (6)
79 

Length

Max length12
Median length10
Mean length6.6792287
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진주상평지방산업단지 510
44.7%
403
35.3%
진주정촌일반산업단지 91
 
8.0%
진주일반산업단지 37
 
3.2%
진주대곡농공단지 21
 
1.8%
진주실크전문농공단지 20
 
1.8%
진주사봉농공단지 19
 
1.7%
진주생물산업전문농공단지 15
 
1.3%
진주진성농공단지 15
 
1.3%
진주이반성농공단지 8
 
0.7%

Length

2023-12-11T09:46:43.477176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
진주상평지방산업단지 510
69.1%
진주정촌일반산업단지 91
 
12.3%
진주일반산업단지 37
 
5.0%
진주대곡농공단지 21
 
2.8%
진주실크전문농공단지 20
 
2.7%
진주사봉농공단지 19
 
2.6%
진주생물산업전문농공단지 15
 
2.0%
진주진성농공단지 15
 
2.0%
진주이반성농공단지 8
 
1.1%
진주지수일반산업단지 2
 
0.3%

종업원수
Real number (ℝ)

Distinct80
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.379492
Minimum0
Maximum440
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T09:46:43.612849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q314
95-th percentile42
Maximum440
Range440
Interquartile range (IQR)10

Descriptive statistics

Standard deviation24.730383
Coefficient of variation (CV)1.8483798
Kurtosis114.88512
Mean13.379492
Median Absolute Deviation (MAD)4
Skewness8.7367462
Sum15266
Variance611.59182
MonotonicityNot monotonic
2023-12-11T09:46:43.746697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 121
 
10.6%
5 117
 
10.3%
4 106
 
9.3%
2 96
 
8.4%
10 71
 
6.2%
6 64
 
5.6%
7 57
 
5.0%
8 54
 
4.7%
9 50
 
4.4%
1 48
 
4.2%
Other values (70) 357
31.3%
ValueCountFrequency (%)
0 2
 
0.2%
1 48
 
4.2%
2 96
8.4%
3 121
10.6%
4 106
9.3%
5 117
10.3%
6 64
5.6%
7 57
5.0%
8 54
4.7%
9 50
4.4%
ValueCountFrequency (%)
440 1
0.1%
316 1
0.1%
290 1
0.1%
168 1
0.1%
151 1
0.1%
150 1
0.1%
141 1
0.1%
140 1
0.1%
119 1
0.1%
110 1
0.1%

주요생산품
Text

Distinct894
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2023-12-11T09:46:44.082532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length27
Mean length8.7151621
Min length1

Characters and Unicode

Total characters9944
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

Unique818 ?
Unique (%)71.7%

Sample

1st row육묘상자
2nd row농기계부품
3rd row버섯균사체,공액리놀레산
4th row자동차부품
5th row자동차중장비부품(금형)
ValueCountFrequency (%)
농기계부품 69
 
3.8%
자동차부품 64
 
3.5%
및 51
 
2.8%
부품 42
 
2.3%
등 39
 
2.1%
자동차 32
 
1.7%
기어 21
 
1.1%
중장비 20
 
1.1%
중장비부품 18
 
1.0%
농기계 16
 
0.9%
Other values (1143) 1463
79.7%
2023-12-11T09:46:44.770653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
697
 
7.0%
, 516
 
5.2%
기 487
 
4.9%
품 483
 
4.9%
부 451
 
4.5%
자 223
 
2.2%
동 215
 
2.2%
농 198
 
2.0%
차 198
 
2.0%
계 191
 
1.9%
Other values (507) 6285
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8164
82.1%
Space Separator 697
 
7.0%
Other Punctuation 533
 
5.4%
Uppercase Letter 203
 
2.0%
Open Punctuation 161
 
1.6%
Close Punctuation 158
 
1.6%
Lowercase Letter 21
 
0.2%
Decimal Number 6
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 487
 
6.0%
품 483
 
5.9%
부 451
 
5.5%
자 223
 
2.7%
동 215
 
2.6%
농 198
 
2.4%
차 198
 
2.4%
계 191
 
2.3%
장 160
 
2.0%
비 125
 
1.5%
Other values (463) 5433
66.5%
Uppercase Letter
ValueCountFrequency (%)
P 29
14.3%
C 21
10.3%
E 20
9.9%
T 15
 
7.4%
A 15
 
7.4%
L 14
 
6.9%
V 13
 
6.4%
D 10
 
4.9%
O 9
 
4.4%
G 9
 
4.4%
Other values (12) 48
23.6%
Lowercase Letter
ValueCountFrequency (%)
s 4
19.0%
a 3
14.3%
c 2
9.5%
k 2
9.5%
p 2
9.5%
t 1
 
4.8%
f 1
 
4.8%
h 1
 
4.8%
e 1
 
4.8%
r 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 2
33.3%
3 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 516
96.8%
. 17
 
3.2%
Space Separator
ValueCountFrequency (%)
697
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8164
82.1%
Common 1556
 
15.6%
Latin 224
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 487
 
6.0%
품 483
 
5.9%
부 451
 
5.5%
자 223
 
2.7%
동 215
 
2.6%
농 198
 
2.4%
차 198
 
2.4%
계 191
 
2.3%
장 160
 
2.0%
비 125
 
1.5%
Other values (463) 5433
66.5%
Latin
ValueCountFrequency (%)
P 29
12.9%
C 21
 
9.4%
E 20
 
8.9%
T 15
 
6.7%
A 15
 
6.7%
L 14
 
6.2%
V 13
 
5.8%
D 10
 
4.5%
O 9
 
4.0%
G 9
 
4.0%
Other values (25) 69
30.8%
Common
ValueCountFrequency (%)
697
44.8%
, 516
33.2%
( 161
 
10.3%
) 158
 
10.2%
. 17
 
1.1%
2 3
 
0.2%
1 2
 
0.1%
- 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8164
82.1%
ASCII 1780
 
17.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
697
39.2%
, 516
29.0%
( 161
 
9.0%
) 158
 
8.9%
P 29
 
1.6%
C 21
 
1.2%
E 20
 
1.1%
. 17
 
1.0%
T 15
 
0.8%
A 15
 
0.8%
Other values (34) 131
 
7.4%
Hangul
ValueCountFrequency (%)
기 487
 
6.0%
품 483
 
5.9%
부 451
 
5.5%
자 223
 
2.7%
동 215
 
2.6%
농 198
 
2.4%
차 198
 
2.4%
계 191
 
2.3%
장 160
 
2.0%
비 125
 
1.5%
Other values (463) 5433
66.5%

전화번호
Text

MISSING 

Distinct1050
Distinct (%)93.6%
Missing19
Missing (%)1.7%
Memory size9.0 KiB
2023-12-11T09:46:45.033230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018717
Min length12

Characters and Unicode

Total characters13485
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

Unique982 ?
Unique (%)87.5%

Sample

1st row055-762-4588
2nd row055-753-9396
3rd row055-762-9307
4th row055-746-0040
5th row055-757-1484
ValueCountFrequency (%)
055-749-3200 3
 
0.3%
055-758-6720 3
 
0.3%
055-762-5200 3
 
0.3%
055-758-1970 3
 
0.3%
055-759-6161 2
 
0.2%
055-752-1396 2
 
0.2%
055-761-1151 2
 
0.2%
055-742-5205 2
 
0.2%
055-762-9905 2
 
0.2%
055-762-9891 2
 
0.2%
Other values (1040) 1098
97.9%
2023-12-11T09:46:45.401463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3464
25.7%
- 2244
16.6%
0 1792
13.3%
7 1670
12.4%
6 708
 
5.3%
2 704
 
5.2%
1 657
 
4.9%
4 604
 
4.5%
8 604
 
4.5%
3 573
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11241
83.4%
Dash Punctuation 2244
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3464
30.8%
0 1792
15.9%
7 1670
14.9%
6 708
 
6.3%
2 704
 
6.3%
1 657
 
5.8%
4 604
 
5.4%
8 604
 
5.4%
3 573
 
5.1%
9 465
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 2244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13485
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3464
25.7%
- 2244
16.6%
0 1792
13.3%
7 1670
12.4%
6 708
 
5.3%
2 704
 
5.2%
1 657
 
4.9%
4 604
 
4.5%
8 604
 
4.5%
3 573
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13485
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3464
25.7%
- 2244
16.6%
0 1792
13.3%
7 1670
12.4%
6 708
 
5.3%
2 704
 
5.2%
1 657
 
4.9%
4 604
 
4.5%
8 604
 
4.5%
3 573
 
4.2%

Interactions

2023-12-11T09:46:40.671278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:46:45.484436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명종업원수
단지명1.0000.311
종업원수0.3111.000
2023-12-11T09:46:45.559203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수단지명
종업원수1.0000.159
단지명0.1591.000

Missing values

2023-12-11T09:46:40.803402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:46:40.941634image/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) (총 2 필지)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 6진주생물산업전문농공단지18버섯균사체,공액리놀레산055-762-9307
3(주)HM금속선철주물 주조업경상남도 진주시 대곡면 남강로 2294 (총 2 필지)66자동차부품055-746-0040
4(주)SM TECH주형 및 금형 제조업경상남도 진주시 사봉면 산업단지로44번길 22진주일반산업단지6자동차중장비부품(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
1131효산테크주형 및 금형 제조업경상남도 진주시 대곡면 진의로 12204자동차 프레스 금형<NA>
1132효성산업(주)도장 및 기타 피막처리업경상남도 진주시 대신로147번길 18 (상평동)진주상평지방산업단지22도장055-755-3661
1133효은철강그외 기타 분류안된 금속가공제품 제조업경상남도 진주시 진성면 동부로 1448 (진성면 동산리 109-3 제2종근린생활시설 ( )5농산물운반대, 건조대,파레트랙055-742-7747
1134효창유리판유리 가공품 제조업경상남도 진주시 솔밭로 28 (상평동)진주상평지방산업단지4거울055-753-1840
1135휴먼바이오텍(주)생물학적 제제 제조업경상남도 진주시 문산읍 월아산로 991, 성장지원동 307호 (진주바이오산업진흥원)4화장품055-763-6127
1136휴엠케이(주)금속 조립구조재 제조업 외 2 종경상남도 진주시 정촌면 산업로79번길 6진주정촌일반산업단지5KAAV 구난 위치 창정비, 전술모의 장비 등055-286-9316
1137흥성공업(주)기어 및 동력전달장치 제조업경상남도 진주시 남강로1367번길 5 (상대동)진주상평지방산업단지14중장비부품055-762-0674
1138흥일기계기어 및 동력전달장치 제조업경상남도 진주시 동진로311번길 12 (상대동)진주상평지방산업단지5기어055-753-3506
1139흥진ENG주형 및 금형 제조업경상남도 진주시 남강로1179번길 10-4 (상평동)4주형(금형)055-752-8614
1140희석정밀공업절삭가공 및 유사처리업경상남도 진주시 명석면 광제산로610번길 115자동차부품055-745-3610