Overview

Dataset statistics

Number of variables7
Number of observations921
Missing cells17
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.4 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 17 (1.8%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:47:13.102049
Analysis finished2023-12-11 00:47:14.112799
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct907
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2023-12-11T09:47:14.326876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length6.0694897
Min length2

Characters and Unicode

Total characters5590
Distinct characters374
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

Unique894 ?
Unique (%)97.1%

Sample

1st row(유)동양프라스틱
2nd row(유)유창ENG
3rd row(주)HK바이오텍
4th row(주)HM금속
5th row(주)K.B.C
ValueCountFrequency (%)
주식회사 20
 
2.0%
진주지점 4
 
0.4%
대양산업 3
 
0.3%
주)대연정공 2
 
0.2%
2공장 2
 
0.2%
주)성훈철강 2
 
0.2%
하나로테크(주 2
 
0.2%
용진 2
 
0.2%
영농조합법인 2
 
0.2%
진주공장 2
 
0.2%
Other values (920) 936
95.8%
2023-12-11T09:47:14.797051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 365
 
6.5%
( 285
 
5.1%
) 285
 
5.1%
업 283
 
5.1%
공 253
 
4.5%
사 176
 
3.1%
정 165
 
3.0%
성 127
 
2.3%
대 116
 
2.1%
산 112
 
2.0%
Other values (364) 3423
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4862
87.0%
Open Punctuation 285
 
5.1%
Close Punctuation 285
 
5.1%
Uppercase Letter 57
 
1.0%
Space Separator 56
 
1.0%
Decimal Number 20
 
0.4%
Other Punctuation 14
 
0.3%
Lowercase Letter 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 365
 
7.5%
업 283
 
5.8%
공 253
 
5.2%
사 176
 
3.6%
정 165
 
3.4%
성 127
 
2.6%
대 116
 
2.4%
산 112
 
2.3%
기 110
 
2.3%
진 106
 
2.2%
Other values (329) 3049
62.7%
Uppercase Letter
ValueCountFrequency (%)
C 7
12.3%
N 6
10.5%
G 6
10.5%
E 5
8.8%
S 5
8.8%
K 5
8.8%
M 4
7.0%
T 4
7.0%
B 3
 
5.3%
H 3
 
5.3%
Other values (7) 9
15.8%
Lowercase Letter
ValueCountFrequency (%)
o 2
18.2%
i 2
18.2%
e 1
9.1%
f 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 14
70.0%
1 3
 
15.0%
3 3
 
15.0%
Other Punctuation
ValueCountFrequency (%)
. 12
85.7%
' 1
 
7.1%
& 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 285
100.0%
Space Separator
ValueCountFrequency (%)
56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4862
87.0%
Common 660
 
11.8%
Latin 68
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 365
 
7.5%
업 283
 
5.8%
공 253
 
5.2%
사 176
 
3.6%
정 165
 
3.4%
성 127
 
2.6%
대 116
 
2.4%
산 112
 
2.3%
기 110
 
2.3%
진 106
 
2.2%
Other values (329) 3049
62.7%
Latin
ValueCountFrequency (%)
C 7
 
10.3%
N 6
 
8.8%
G 6
 
8.8%
E 5
 
7.4%
S 5
 
7.4%
K 5
 
7.4%
M 4
 
5.9%
T 4
 
5.9%
B 3
 
4.4%
H 3
 
4.4%
Other values (16) 20
29.4%
Common
ValueCountFrequency (%)
( 285
43.2%
) 285
43.2%
56
 
8.5%
2 14
 
2.1%
. 12
 
1.8%
1 3
 
0.5%
3 3
 
0.5%
' 1
 
0.2%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4862
87.0%
ASCII 728
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 365
 
7.5%
업 283
 
5.8%
공 253
 
5.2%
사 176
 
3.6%
정 165
 
3.4%
성 127
 
2.6%
대 116
 
2.4%
산 112
 
2.3%
기 110
 
2.3%
진 106
 
2.2%
Other values (329) 3049
62.7%
ASCII
ValueCountFrequency (%)
( 285
39.1%
) 285
39.1%
56
 
7.7%
2 14
 
1.9%
. 12
 
1.6%
C 7
 
1.0%
N 6
 
0.8%
G 6
 
0.8%
E 5
 
0.7%
S 5
 
0.7%
Other values (25) 47
 
6.5%

업종명
Text

Distinct282
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2023-12-11T09:47:15.185086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length14.58089
Min length3

Characters and Unicode

Total characters13429
Distinct characters264
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

Unique164 ?
Unique (%)17.8%

Sample

1st row포장용 플라스틱 성형용기 제조업
2nd row농업 및 임업용 기계 제조업
3rd row식용 정제유 및 가공유 제조업
4th row선철주물 주조업
5th row복합비료 제조업
ValueCountFrequency (%)
제조업 680
 
17.0%
및 532
 
13.3%
기타 150
 
3.7%
종 148
 
3.7%
외 148
 
3.7%
절삭가공 102
 
2.5%
유사처리업 102
 
2.5%
기계 101
 
2.5%
1 101
 
2.5%
임업용 95
 
2.4%
Other values (373) 1851
46.2%
2023-12-11T09:47:15.690240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3089
23.0%
업 1129
 
8.4%
조 840
 
6.3%
제 835
 
6.2%
및 532
 
4.0%
기 447
 
3.3%
용 248
 
1.8%
외 223
 
1.7%
품 222
 
1.7%
사 215
 
1.6%
Other values (254) 5649
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10088
75.1%
Space Separator 3089
 
23.0%
Decimal Number 158
 
1.2%
Other Punctuation 94
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1129
 
11.2%
조 840
 
8.3%
제 835
 
8.3%
및 532
 
5.3%
기 447
 
4.4%
용 248
 
2.5%
외 223
 
2.2%
품 222
 
2.2%
사 215
 
2.1%
공 197
 
2.0%
Other values (244) 5200
51.5%
Decimal Number
ValueCountFrequency (%)
1 111
70.3%
2 28
 
17.7%
3 10
 
6.3%
5 6
 
3.8%
4 1
 
0.6%
8 1
 
0.6%
6 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 87
92.6%
· 7
 
7.4%
Space Separator
ValueCountFrequency (%)
3089
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10088
75.1%
Common 3341
 
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1129
 
11.2%
조 840
 
8.3%
제 835
 
8.3%
및 532
 
5.3%
기 447
 
4.4%
용 248
 
2.5%
외 223
 
2.2%
품 222
 
2.2%
사 215
 
2.1%
공 197
 
2.0%
Other values (244) 5200
51.5%
Common
ValueCountFrequency (%)
3089
92.5%
1 111
 
3.3%
, 87
 
2.6%
2 28
 
0.8%
3 10
 
0.3%
· 7
 
0.2%
5 6
 
0.2%
4 1
 
< 0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10088
75.1%
ASCII 3334
 
24.8%
None 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3089
92.7%
1 111
 
3.3%
, 87
 
2.6%
2 28
 
0.8%
3 10
 
0.3%
5 6
 
0.2%
4 1
 
< 0.1%
8 1
 
< 0.1%
6 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 1129
 
11.2%
조 840
 
8.3%
제 835
 
8.3%
및 532
 
5.3%
기 447
 
4.4%
용 248
 
2.5%
외 223
 
2.2%
품 222
 
2.2%
사 215
 
2.1%
공 197
 
2.0%
Other values (244) 5200
51.5%
None
ValueCountFrequency (%)
· 7
100.0%

소재지
Text

Distinct773
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2023-12-11T09:47:15.935030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length50
Mean length22.528773
Min length17

Characters and Unicode

Total characters20749
Distinct characters145
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

Unique675 ?
Unique (%)73.3%

Sample

1st row경상남도 진주시 상대2동 313-2번지 외 1 필지
2nd row경상남도 진주시 상평동 201-4번지
3rd row경상남도 진주시 대곡면 와룡리 57-2번지
4th row경상남도 진주시 대곡면 단목리 247-1번지 외 1 필지
5th row경상남도 진주시 문산읍 이곡리 1185번지
ValueCountFrequency (%)
경상남도 921
21.5%
진주시 921
21.5%
상평동 457
 
10.7%
상대동 116
 
2.7%
외 72
 
1.7%
필지 71
 
1.7%
대곡면 67
 
1.6%
1 46
 
1.1%
문산읍 45
 
1.0%
진성면 40
 
0.9%
Other values (885) 1533
35.7%
2023-12-11T09:47:16.437526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3369
16.2%
상 1561
 
7.5%
지 1027
 
4.9%
진 975
 
4.7%
주 929
 
4.5%
경 925
 
4.5%
남 925
 
4.5%
시 922
 
4.4%
도 921
 
4.4%
번 920
 
4.4%
Other values (135) 8275
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12554
60.5%
Decimal Number 4013
 
19.3%
Space Separator 3369
 
16.2%
Dash Punctuation 790
 
3.8%
Other Punctuation 8
 
< 0.1%
Uppercase Letter 6
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1561
12.4%
지 1027
 
8.2%
진 975
 
7.8%
주 929
 
7.4%
경 925
 
7.4%
남 925
 
7.4%
시 922
 
7.3%
도 921
 
7.3%
번 920
 
7.3%
동 659
 
5.2%
Other values (116) 2790
22.2%
Decimal Number
ValueCountFrequency (%)
1 801
20.0%
2 723
18.0%
3 669
16.7%
5 527
13.1%
0 304
 
7.6%
4 255
 
6.4%
6 204
 
5.1%
9 186
 
4.6%
7 180
 
4.5%
8 164
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
C 1
 
16.7%
I 1
 
16.7%
Space Separator
ValueCountFrequency (%)
3369
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 790
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12554
60.5%
Common 8188
39.5%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1561
12.4%
지 1027
 
8.2%
진 975
 
7.8%
주 929
 
7.4%
경 925
 
7.4%
남 925
 
7.4%
시 922
 
7.3%
도 921
 
7.3%
번 920
 
7.3%
동 659
 
5.2%
Other values (116) 2790
22.2%
Common
ValueCountFrequency (%)
3369
41.1%
1 801
 
9.8%
- 790
 
9.6%
2 723
 
8.8%
3 669
 
8.2%
5 527
 
6.4%
0 304
 
3.7%
4 255
 
3.1%
6 204
 
2.5%
9 186
 
2.3%
Other values (5) 360
 
4.4%
Latin
ValueCountFrequency (%)
B 4
57.1%
C 1
 
14.3%
I 1
 
14.3%
c 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12554
60.5%
ASCII 8195
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3369
41.1%
1 801
 
9.8%
- 790
 
9.6%
2 723
 
8.8%
3 669
 
8.2%
5 527
 
6.4%
0 304
 
3.7%
4 255
 
3.1%
6 204
 
2.5%
9 186
 
2.3%
Other values (9) 367
 
4.5%
Hangul
ValueCountFrequency (%)
상 1561
12.4%
지 1027
 
8.2%
진 975
 
7.8%
주 929
 
7.4%
경 925
 
7.4%
남 925
 
7.4%
시 922
 
7.3%
도 921
 
7.3%
번 920
 
7.3%
동 659
 
5.2%
Other values (116) 2790
22.2%

단지명
Categorical

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
진주상평지방산업단지
522 
321 
진주대곡농공단지
 
24
진주진성농공단지
 
18
진주사봉농공단지
 
16
Other values (2)
 
20

Length

Max length12
Median length10
Mean length6.7513572
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진주상평지방산업단지 522
56.7%
321
34.9%
진주대곡농공단지 24
 
2.6%
진주진성농공단지 18
 
2.0%
진주사봉농공단지 16
 
1.7%
진주생물산업전문농공단지 11
 
1.2%
진주이반성농공단지 9
 
1.0%

Length

2023-12-11T09:47:16.589420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:47:16.688626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진주상평지방산업단지 522
87.0%
진주대곡농공단지 24
 
4.0%
진주진성농공단지 18
 
3.0%
진주사봉농공단지 16
 
2.7%
진주생물산업전문농공단지 11
 
1.8%
진주이반성농공단지 9
 
1.5%

종업원수
Real number (ℝ)

Distinct72
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.015201
Minimum1
Maximum444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-12-11T09:47:16.827359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q315
95-th percentile45
Maximum444
Range443
Interquartile range (IQR)11

Descriptive statistics

Standard deviation25.91218
Coefficient of variation (CV)1.8488625
Kurtosis104.24866
Mean14.015201
Median Absolute Deviation (MAD)4
Skewness8.34083
Sum12908
Variance671.44107
MonotonicityNot monotonic
2023-12-11T09:47:16.989122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 103
 
11.2%
3 98
 
10.6%
5 88
 
9.6%
2 67
 
7.3%
10 54
 
5.9%
8 49
 
5.3%
7 49
 
5.3%
6 43
 
4.7%
9 38
 
4.1%
1 29
 
3.1%
Other values (62) 303
32.9%
ValueCountFrequency (%)
1 29
 
3.1%
2 67
7.3%
3 98
10.6%
4 103
11.2%
5 88
9.6%
6 43
4.7%
7 49
5.3%
8 49
5.3%
9 38
 
4.1%
10 54
5.9%
ValueCountFrequency (%)
444 1
0.1%
256 1
0.1%
230 1
0.1%
213 1
0.1%
195 1
0.1%
185 1
0.1%
132 1
0.1%
124 1
0.1%
111 1
0.1%
110 1
0.1%

주요생산품
Text

Distinct703
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2023-12-11T09:47:17.250875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length24
Mean length8.0401737
Min length1

Characters and Unicode

Total characters7405
Distinct characters474
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

Unique646 ?
Unique (%)70.1%

Sample

1st row육묘상자
2nd row농기계부품
3rd row리놀렌산
4th row자동차부품
5th row생물농약
ValueCountFrequency (%)
자동차부품 66
 
4.9%
농기계부품 58
 
4.3%
및 28
 
2.1%
부품 21
 
1.5%
중장비부품 20
 
1.5%
기어 17
 
1.3%
견직물 15
 
1.1%
농기구부품 15
 
1.1%
자동차 13
 
1.0%
등 9
 
0.7%
Other values (910) 1093
80.7%
2023-12-11T09:47:17.664640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
434
 
5.9%
품 360
 
4.9%
, 355
 
4.8%
기 344
 
4.6%
부 343
 
4.6%
자 187
 
2.5%
동 180
 
2.4%
차 162
 
2.2%
농 157
 
2.1%
계 141
 
1.9%
Other values (464) 4742
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6152
83.1%
Space Separator 434
 
5.9%
Other Punctuation 377
 
5.1%
Uppercase Letter 138
 
1.9%
Open Punctuation 136
 
1.8%
Close Punctuation 133
 
1.8%
Lowercase Letter 29
 
0.4%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 360
 
5.9%
기 344
 
5.6%
부 343
 
5.6%
자 187
 
3.0%
동 180
 
2.9%
차 162
 
2.6%
농 157
 
2.6%
계 141
 
2.3%
조 108
 
1.8%
장 108
 
1.8%
Other values (423) 4062
66.0%
Uppercase Letter
ValueCountFrequency (%)
P 25
18.1%
E 19
13.8%
A 11
 
8.0%
L 11
 
8.0%
C 7
 
5.1%
H 7
 
5.1%
T 7
 
5.1%
D 7
 
5.1%
S 6
 
4.3%
G 6
 
4.3%
Other values (10) 32
23.2%
Lowercase Letter
ValueCountFrequency (%)
a 4
13.8%
s 4
13.8%
e 4
13.8%
c 3
10.3%
i 3
10.3%
r 3
10.3%
t 2
6.9%
n 1
 
3.4%
o 1
 
3.4%
m 1
 
3.4%
Other values (3) 3
10.3%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 2
33.3%
3 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 355
94.2%
. 22
 
5.8%
Space Separator
ValueCountFrequency (%)
434
100.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6152
83.1%
Common 1086
 
14.7%
Latin 167
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 360
 
5.9%
기 344
 
5.6%
부 343
 
5.6%
자 187
 
3.0%
동 180
 
2.9%
차 162
 
2.6%
농 157
 
2.6%
계 141
 
2.3%
조 108
 
1.8%
장 108
 
1.8%
Other values (423) 4062
66.0%
Latin
ValueCountFrequency (%)
P 25
15.0%
E 19
 
11.4%
A 11
 
6.6%
L 11
 
6.6%
C 7
 
4.2%
H 7
 
4.2%
T 7
 
4.2%
D 7
 
4.2%
S 6
 
3.6%
G 6
 
3.6%
Other values (23) 61
36.5%
Common
ValueCountFrequency (%)
434
40.0%
, 355
32.7%
( 136
 
12.5%
) 133
 
12.2%
. 22
 
2.0%
2 3
 
0.3%
1 2
 
0.2%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6152
83.1%
ASCII 1253
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
434
34.6%
, 355
28.3%
( 136
 
10.9%
) 133
 
10.6%
P 25
 
2.0%
. 22
 
1.8%
E 19
 
1.5%
A 11
 
0.9%
L 11
 
0.9%
C 7
 
0.6%
Other values (31) 100
 
8.0%
Hangul
ValueCountFrequency (%)
품 360
 
5.9%
기 344
 
5.6%
부 343
 
5.6%
자 187
 
3.0%
동 180
 
2.9%
차 162
 
2.6%
농 157
 
2.6%
계 141
 
2.3%
조 108
 
1.8%
장 108
 
1.8%
Other values (423) 4062
66.0%

전화번호
Text

MISSING 

Distinct869
Distinct (%)96.1%
Missing17
Missing (%)1.8%
Memory size7.3 KiB
2023-12-11T09:47:17.921628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004425
Min length12

Characters and Unicode

Total characters10852
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

Unique840 ?
Unique (%)92.9%

Sample

1st row055-762-4588
2nd row055-753-9396
3rd row055-762-9307
4th row055-746-0040
5th row055-763-0241
ValueCountFrequency (%)
055-758-1970 3
 
0.3%
055-758-0075 3
 
0.3%
055-752-4993 3
 
0.3%
055-762-5200 3
 
0.3%
055-753-6141 3
 
0.3%
055-758-6391 3
 
0.3%
055-743-2353 2
 
0.2%
055-761-2563 2
 
0.2%
055-758-4141 2
 
0.2%
055-761-7276 2
 
0.2%
Other values (859) 878
97.1%
2023-12-11T09:47:18.345267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2889
26.6%
- 1808
16.7%
0 1416
13.0%
7 1332
12.3%
6 560
 
5.2%
2 559
 
5.2%
1 517
 
4.8%
4 476
 
4.4%
8 468
 
4.3%
3 464
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9044
83.3%
Dash Punctuation 1808
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2889
31.9%
0 1416
15.7%
7 1332
14.7%
6 560
 
6.2%
2 559
 
6.2%
1 517
 
5.7%
4 476
 
5.3%
8 468
 
5.2%
3 464
 
5.1%
9 363
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 1808
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2889
26.6%
- 1808
16.7%
0 1416
13.0%
7 1332
12.3%
6 560
 
5.2%
2 559
 
5.2%
1 517
 
4.8%
4 476
 
4.4%
8 468
 
4.3%
3 464
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2889
26.6%
- 1808
16.7%
0 1416
13.0%
7 1332
12.3%
6 560
 
5.2%
2 559
 
5.2%
1 517
 
4.8%
4 476
 
4.4%
8 468
 
4.3%
3 464
 
4.3%

Interactions

2023-12-11T09:47:13.812281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:47:18.436702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명종업원수
단지명1.0000.146
종업원수0.1461.000
2023-12-11T09:47:18.512533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수단지명
종업원수1.0000.087
단지명0.0871.000

Missing values

2023-12-11T09:47:13.965922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:47:14.066319image/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 상대2동 313-2번지 외 1 필지진주상평지방산업단지29육묘상자055-762-4588
1(유)유창ENG농업 및 임업용 기계 제조업경상남도 진주시 상평동 201-4번지진주상평지방산업단지20농기계부품055-753-9396
2(주)HK바이오텍식용 정제유 및 가공유 제조업경상남도 진주시 대곡면 와룡리 57-2번지진주대곡농공단지11리놀렌산055-762-9307
3(주)HM금속선철주물 주조업경상남도 진주시 대곡면 단목리 247-1번지 외 1 필지66자동차부품055-746-0040
4(주)K.B.C복합비료 제조업경상남도 진주시 문산읍 이곡리 1185번지진주생물산업전문농공단지6생물농약055-763-0241
5(주)거상테크놀로지주방용 전기기기 제조업경상남도 진주시 칠암동 532-10번지 진주산업대학교 산학협력관 창업보육센터 B01호22초음파세척기055-753-5900
6(주)경남일보신문 발행업경상남도 진주시 상평동 237-4번지65일간신문055-751-1000
7(주)경남철공구조용 금속판제품 및 금속공작물 제조업경상남도 진주시 상평동 222-10번지진주상평지방산업단지8금속문055-752-3205
8(주)경민산업금속 조립구조재 제조업경상남도 진주시 상평동 157-23번지진주상평지방산업단지7금속문055-761-0760
9(주)경신석면, 암면 및 유사제품 제조업경상남도 진주시 명석면 남성리 689번지24모래(골재)055-746-6886
업체명업종명소재지단지명종업원수주요생산품전화번호
911화진철강공업사구조용 금속판제품 및 금속공작물 제조업경상남도 진주시 상평동 158-9 번지진주상평지방산업단지1건축잡자재,통신기기부품055-755-2220
912환덕견직견직물 직조업경상남도 진주시 대곡면 단목리 264번지3한복지(한복안지)055-745-6640
913회성정공절삭가공 및 유사처리업경상남도 진주시 상평동 211-2번지2농기계부품(차축)055-753-6788
914효성산업도장 및 기타 피막처리업경상남도 진주시 상평동 194-12번지진주상평지방산업단지22도장055-755-3661
915효창유리판유리 가공품 제조업경상남도 진주시 상평동 225-16번지진주상평지방산업단지4거울055-753-1840
916훌루텍정기(주)토목공사 및 유사용 기계장비 제조업경상남도 진주시 상대동 33-42번지진주상평지방산업단지5유압펌프055-762-3664
917흥성공업(주)기어 및 동력전달장치 제조업경상남도 진주시 상대동 33-47번지진주상평지방산업단지14중장비부품055-762-0674
918흥일기계기어 및 동력전달장치 제조업경상남도 진주시 상대2동 33-41번지진주상평지방산업단지5기어055-753-3506
919흥진ENG주형 및 금형 제조업경상남도 진주시 상평동 302-4번지4주형(금형)055-752-8614
920흥한산업(주)토목공사 및 유사용 기계장비 제조업경상남도 진주시 상대동 33-15번지진주상평지방산업단지7중장비부품(토목공사및 유사품제조)055-752-7100