Overview

Dataset statistics

Number of variables7
Number of observations1148
Missing cells25
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.0 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 25 (2.2%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:47:49.122589
Analysis finished2023-12-11 00:47:50.147842
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct1118
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T09:47:50.380927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length6.2682927
Min length1

Characters and Unicode

Total characters7196
Distinct characters412
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

Unique1089 ?
Unique (%)94.9%

Sample

1st row(유)동양프라스틱
2nd row(유)유창ENG
3rd row(주)HK바이오텍
4th row(주)SM TECH
5th row(주)가야데이터
ValueCountFrequency (%)
주식회사 10
 
0.8%
제2공장 9
 
0.7%
농업회사법인 5
 
0.4%
진주지점 5
 
0.4%
진주공장 5
 
0.4%
2공장 4
 
0.3%
주)성광 4
 
0.3%
영농조합법인 3
 
0.2%
사봉공장 3
 
0.2%
성화산업(주 3
 
0.2%
Other values (1122) 1175
95.8%
2023-12-11T09:47:50.792090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 512
 
7.1%
( 435
 
6.0%
) 435
 
6.0%
업 311
 
4.3%
공 282
 
3.9%
정 189
 
2.6%
사 165
 
2.3%
성 149
 
2.1%
진 147
 
2.0%
산 140
 
1.9%
Other values (402) 4431
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6080
84.5%
Open Punctuation 435
 
6.0%
Close Punctuation 435
 
6.0%
Uppercase Letter 120
 
1.7%
Space Separator 79
 
1.1%
Decimal Number 35
 
0.5%
Other Punctuation 11
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 512
 
8.4%
업 311
 
5.1%
공 282
 
4.6%
정 189
 
3.1%
사 165
 
2.7%
성 149
 
2.5%
진 147
 
2.4%
산 140
 
2.3%
대 128
 
2.1%
이 123
 
2.0%
Other values (371) 3934
64.7%
Uppercase Letter
ValueCountFrequency (%)
N 17
14.2%
E 15
12.5%
G 14
11.7%
S 12
10.0%
T 10
8.3%
C 10
8.3%
M 6
 
5.0%
P 5
 
4.2%
K 5
 
4.2%
H 5
 
4.2%
Other values (11) 21
17.5%
Decimal Number
ValueCountFrequency (%)
2 27
77.1%
3 6
 
17.1%
1 1
 
2.9%
4 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 7
63.6%
& 4
36.4%
Open Punctuation
ValueCountFrequency (%)
( 435
100.0%
Close Punctuation
ValueCountFrequency (%)
) 435
100.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6080
84.5%
Common 996
 
13.8%
Latin 120
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 512
 
8.4%
업 311
 
5.1%
공 282
 
4.6%
정 189
 
3.1%
사 165
 
2.7%
성 149
 
2.5%
진 147
 
2.4%
산 140
 
2.3%
대 128
 
2.1%
이 123
 
2.0%
Other values (371) 3934
64.7%
Latin
ValueCountFrequency (%)
N 17
14.2%
E 15
12.5%
G 14
11.7%
S 12
10.0%
T 10
8.3%
C 10
8.3%
M 6
 
5.0%
P 5
 
4.2%
K 5
 
4.2%
H 5
 
4.2%
Other values (11) 21
17.5%
Common
ValueCountFrequency (%)
( 435
43.7%
) 435
43.7%
79
 
7.9%
2 27
 
2.7%
. 7
 
0.7%
3 6
 
0.6%
& 4
 
0.4%
- 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6080
84.5%
ASCII 1116
 
15.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 512
 
8.4%
업 311
 
5.1%
공 282
 
4.6%
정 189
 
3.1%
사 165
 
2.7%
성 149
 
2.5%
진 147
 
2.4%
산 140
 
2.3%
대 128
 
2.1%
이 123
 
2.0%
Other values (371) 3934
64.7%
ASCII
ValueCountFrequency (%)
( 435
39.0%
) 435
39.0%
79
 
7.1%
2 27
 
2.4%
N 17
 
1.5%
E 15
 
1.3%
G 14
 
1.3%
S 12
 
1.1%
T 10
 
0.9%
C 10
 
0.9%
Other values (21) 62
 
5.6%

업종명
Text

Distinct351
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T09:47:51.122461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length16.49216
Min length1

Characters and Unicode

Total characters18933
Distinct characters290
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

Unique210 ?
Unique (%)18.3%

Sample

1st row포장용 플라스틱 성형용기 제조업
2nd row농업 및 임업용 기계 제조업
3rd row건강기능식품 제조업 외 1 종
4th row주형 및 금형 제조업
5th row컴퓨터 제조업 외 1 종
ValueCountFrequency (%)
제조업 832
 
13.6%
및 692
 
11.3%
외 506
 
8.3%
종 416
 
6.8%
1 237
 
3.9%
기타 185
 
3.0%
절삭가공 170
 
2.8%
유사처리업 170
 
2.8%
기계 120
 
2.0%
농업 113
 
1.8%
Other values (417) 2672
43.7%
2023-12-11T09:47:51.866962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4969
26.2%
업 1390
 
7.3%
조 1010
 
5.3%
제 1007
 
5.3%
및 692
 
3.7%
기 557
 
2.9%
외 511
 
2.7%
종 429
 
2.3%
용 364
 
1.9%
품 332
 
1.8%
Other values (280) 7672
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13439
71.0%
Space Separator 4969
 
26.2%
Decimal Number 429
 
2.3%
Other Punctuation 88
 
0.5%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1390
 
10.3%
조 1010
 
7.5%
제 1007
 
7.5%
및 692
 
5.1%
기 557
 
4.1%
외 511
 
3.8%
종 429
 
3.2%
용 364
 
2.7%
품 332
 
2.5%
공 254
 
1.9%
Other values (266) 6893
51.3%
Decimal Number
ValueCountFrequency (%)
1 248
57.8%
3 67
 
15.6%
2 54
 
12.6%
4 30
 
7.0%
5 19
 
4.4%
7 5
 
1.2%
6 4
 
0.9%
8 1
 
0.2%
9 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 87
98.9%
. 1
 
1.1%
Space Separator
ValueCountFrequency (%)
4969
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13439
71.0%
Common 5494
29.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1390
 
10.3%
조 1010
 
7.5%
제 1007
 
7.5%
및 692
 
5.1%
기 557
 
4.1%
외 511
 
3.8%
종 429
 
3.2%
용 364
 
2.7%
품 332
 
2.5%
공 254
 
1.9%
Other values (266) 6893
51.3%
Common
ValueCountFrequency (%)
4969
90.4%
1 248
 
4.5%
, 87
 
1.6%
3 67
 
1.2%
2 54
 
1.0%
4 30
 
0.5%
5 19
 
0.3%
7 5
 
0.1%
) 4
 
0.1%
( 4
 
0.1%
Other values (4) 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13430
70.9%
ASCII 5494
29.0%
Compat Jamo 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4969
90.4%
1 248
 
4.5%
, 87
 
1.6%
3 67
 
1.2%
2 54
 
1.0%
4 30
 
0.5%
5 19
 
0.3%
7 5
 
0.1%
) 4
 
0.1%
( 4
 
0.1%
Other values (4) 7
 
0.1%
Hangul
ValueCountFrequency (%)
업 1390
 
10.3%
조 1010
 
7.5%
제 1007
 
7.5%
및 692
 
5.2%
기 557
 
4.1%
외 511
 
3.8%
종 429
 
3.2%
용 364
 
2.7%
품 332
 
2.5%
공 254
 
1.9%
Other values (265) 6884
51.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%

소재지
Text

Distinct957
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T09:47:52.108527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length59
Mean length26.215157
Min length18

Characters and Unicode

Total characters30095
Distinct characters216
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

Unique830 ?
Unique (%)72.3%

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 사봉면 산업단지로44번길 22
5th row경상남도 진주시 정촌면 연꽃로165번길 5
ValueCountFrequency (%)
경상남도 1148
 
18.0%
진주시 1148
 
18.0%
상평동 440
 
6.9%
상대동 145
 
2.3%
필지 126
 
2.0%
총 126
 
2.0%
정촌면 99
 
1.6%
2 90
 
1.4%
문산읍 89
 
1.4%
사봉면 79
 
1.2%
Other values (833) 2887
45.3%
2023-12-11T09:47:52.521599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5254
 
17.5%
상 1756
 
5.8%
진 1384
 
4.6%
남 1258
 
4.2%
도 1212
 
4.0%
주 1209
 
4.0%
경 1172
 
3.9%
시 1149
 
3.8%
1 1116
 
3.7%
로 1094
 
3.6%
Other values (206) 13491
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17786
59.1%
Space Separator 5254
 
17.5%
Decimal Number 5017
 
16.7%
Open Punctuation 848
 
2.8%
Close Punctuation 841
 
2.8%
Dash Punctuation 236
 
0.8%
Other Punctuation 90
 
0.3%
Uppercase Letter 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1756
 
9.9%
진 1384
 
7.8%
남 1258
 
7.1%
도 1212
 
6.8%
주 1209
 
6.8%
경 1172
 
6.6%
시 1149
 
6.5%
로 1094
 
6.2%
동 897
 
5.0%
길 656
 
3.7%
Other values (183) 5999
33.7%
Decimal Number
ValueCountFrequency (%)
1 1116
22.2%
2 693
13.8%
3 488
9.7%
4 477
9.5%
5 454
9.0%
9 384
 
7.7%
0 375
 
7.5%
6 362
 
7.2%
7 339
 
6.8%
8 329
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
B 10
43.5%
A 4
 
17.4%
L 2
 
8.7%
S 2
 
8.7%
C 2
 
8.7%
E 2
 
8.7%
K 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 89
98.9%
& 1
 
1.1%
Space Separator
ValueCountFrequency (%)
5254
100.0%
Open Punctuation
ValueCountFrequency (%)
( 848
100.0%
Close Punctuation
ValueCountFrequency (%)
) 841
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17786
59.1%
Common 12286
40.8%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1756
 
9.9%
진 1384
 
7.8%
남 1258
 
7.1%
도 1212
 
6.8%
주 1209
 
6.8%
경 1172
 
6.6%
시 1149
 
6.5%
로 1094
 
6.2%
동 897
 
5.0%
길 656
 
3.7%
Other values (183) 5999
33.7%
Common
ValueCountFrequency (%)
5254
42.8%
1 1116
 
9.1%
( 848
 
6.9%
) 841
 
6.8%
2 693
 
5.6%
3 488
 
4.0%
4 477
 
3.9%
5 454
 
3.7%
9 384
 
3.1%
0 375
 
3.1%
Other values (6) 1356
 
11.0%
Latin
ValueCountFrequency (%)
B 10
43.5%
A 4
 
17.4%
L 2
 
8.7%
S 2
 
8.7%
C 2
 
8.7%
E 2
 
8.7%
K 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17786
59.1%
ASCII 12309
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5254
42.7%
1 1116
 
9.1%
( 848
 
6.9%
) 841
 
6.8%
2 693
 
5.6%
3 488
 
4.0%
4 477
 
3.9%
5 454
 
3.7%
9 384
 
3.1%
0 375
 
3.0%
Other values (13) 1379
 
11.2%
Hangul
ValueCountFrequency (%)
상 1756
 
9.9%
진 1384
 
7.8%
남 1258
 
7.1%
도 1212
 
6.8%
주 1209
 
6.8%
경 1172
 
6.6%
시 1149
 
6.5%
로 1094
 
6.2%
동 897
 
5.0%
길 656
 
3.7%
Other values (183) 5999
33.7%

단지명
Categorical

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
진주상평지방산업단지
503 
410 
진주정촌일반산업단지
91 
진주일반산업단지
 
42
진주대곡농공단지
 
21
Other values (6)
81 

Length

Max length12
Median length10
Mean length6.6376307
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진주상평지방산업단지 503
43.8%
410
35.7%
진주정촌일반산업단지 91
 
7.9%
진주일반산업단지 42
 
3.7%
진주대곡농공단지 21
 
1.8%
진주실크전문농공단지 21
 
1.8%
진주사봉농공단지 19
 
1.7%
진주생물산업전문농공단지 16
 
1.4%
진주진성농공단지 15
 
1.3%
진주이반성농공단지 8
 
0.7%

Length

2023-12-11T09:47:52.677933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
진주상평지방산업단지 503
68.2%
진주정촌일반산업단지 91
 
12.3%
진주일반산업단지 42
 
5.7%
진주대곡농공단지 21
 
2.8%
진주실크전문농공단지 21
 
2.8%
진주사봉농공단지 19
 
2.6%
진주생물산업전문농공단지 16
 
2.2%
진주진성농공단지 15
 
2.0%
진주이반성농공단지 8
 
1.1%
진주지수일반산업단지 2
 
0.3%

종업원수
Real number (ℝ)

Distinct79
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.594948
Minimum0
Maximum440
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T09:47:52.817455image/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 deviation25.331536
Coefficient of variation (CV)1.8633051
Kurtosis104.94316
Mean13.594948
Median Absolute Deviation (MAD)4
Skewness8.3484934
Sum15607
Variance641.68671
MonotonicityNot monotonic
2023-12-11T09:47:52.939375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 124
 
10.8%
5 118
 
10.3%
4 105
 
9.1%
2 97
 
8.4%
10 70
 
6.1%
6 66
 
5.7%
7 62
 
5.4%
8 56
 
4.9%
1 48
 
4.2%
9 47
 
4.1%
Other values (69) 355
30.9%
ValueCountFrequency (%)
0 2
 
0.2%
1 48
 
4.2%
2 97
8.4%
3 124
10.8%
4 105
9.1%
5 118
10.3%
6 66
5.7%
7 62
5.4%
8 56
4.9%
9 47
 
4.1%
ValueCountFrequency (%)
440 1
0.1%
316 1
0.1%
290 1
0.1%
180 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%

주요생산품
Text

Distinct906
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T09:47:53.237198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length27
Mean length8.8057491
Min length1

Characters and Unicode

Total characters10109
Distinct characters515
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

Unique832 ?
Unique (%)72.5%

Sample

1st row육묘상자
2nd row농기계부품
3rd row버섯균사체,공액리놀레산
4th row자동차중장비부품(금형)
5th row반도체메모리스토리지시스템
ValueCountFrequency (%)
농기계부품 69
 
3.7%
자동차부품 64
 
3.4%
및 51
 
2.7%
등 47
 
2.5%
부품 45
 
2.4%
자동차 34
 
1.8%
기어 22
 
1.2%
중장비 21
 
1.1%
중장비부품 17
 
0.9%
농기계 16
 
0.9%
Other values (1158) 1485
79.4%
2023-12-11T09:47:53.670670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
727
 
7.2%
, 535
 
5.3%
품 491
 
4.9%
기 488
 
4.8%
부 455
 
4.5%
자 226
 
2.2%
동 215
 
2.1%
차 202
 
2.0%
농 202
 
2.0%
계 195
 
1.9%
Other values (505) 6373
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8269
81.8%
Space Separator 727
 
7.2%
Other Punctuation 551
 
5.5%
Uppercase Letter 215
 
2.1%
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 (%)
품 491
 
5.9%
기 488
 
5.9%
부 455
 
5.5%
자 226
 
2.7%
동 215
 
2.6%
차 202
 
2.4%
농 202
 
2.4%
계 195
 
2.4%
장 157
 
1.9%
조 135
 
1.6%
Other values (461) 5503
66.5%
Uppercase Letter
ValueCountFrequency (%)
P 28
13.0%
C 25
11.6%
E 19
 
8.8%
T 16
 
7.4%
A 16
 
7.4%
V 15
 
7.0%
L 15
 
7.0%
D 11
 
5.1%
G 9
 
4.2%
S 9
 
4.2%
Other values (12) 52
24.2%
Lowercase Letter
ValueCountFrequency (%)
s 4
19.0%
a 3
14.3%
p 2
9.5%
c 2
9.5%
k 2
9.5%
r 1
 
4.8%
i 1
 
4.8%
n 1
 
4.8%
y 1
 
4.8%
e 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 (%)
, 535
97.1%
. 16
 
2.9%
Space Separator
ValueCountFrequency (%)
727
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 8269
81.8%
Common 1604
 
15.9%
Latin 236
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 491
 
5.9%
기 488
 
5.9%
부 455
 
5.5%
자 226
 
2.7%
동 215
 
2.6%
차 202
 
2.4%
농 202
 
2.4%
계 195
 
2.4%
장 157
 
1.9%
조 135
 
1.6%
Other values (461) 5503
66.5%
Latin
ValueCountFrequency (%)
P 28
 
11.9%
C 25
 
10.6%
E 19
 
8.1%
T 16
 
6.8%
A 16
 
6.8%
V 15
 
6.4%
L 15
 
6.4%
D 11
 
4.7%
G 9
 
3.8%
S 9
 
3.8%
Other values (25) 73
30.9%
Common
ValueCountFrequency (%)
727
45.3%
, 535
33.4%
( 161
 
10.0%
) 158
 
9.9%
. 16
 
1.0%
2 3
 
0.2%
1 2
 
0.1%
- 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8269
81.8%
ASCII 1840
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
727
39.5%
, 535
29.1%
( 161
 
8.8%
) 158
 
8.6%
P 28
 
1.5%
C 25
 
1.4%
E 19
 
1.0%
T 16
 
0.9%
A 16
 
0.9%
. 16
 
0.9%
Other values (34) 139
 
7.6%
Hangul
ValueCountFrequency (%)
품 491
 
5.9%
기 488
 
5.9%
부 455
 
5.5%
자 226
 
2.7%
동 215
 
2.6%
차 202
 
2.4%
농 202
 
2.4%
계 195
 
2.4%
장 157
 
1.9%
조 135
 
1.6%
Other values (461) 5503
66.5%

전화번호
Text

MISSING 

Distinct1044
Distinct (%)93.0%
Missing25
Missing (%)2.2%
Memory size9.1 KiB
2023-12-11T09:47:53.946511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.0187
Min length12

Characters and Unicode

Total characters13497
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

Unique971 ?
Unique (%)86.5%

Sample

1st row055-762-4588
2nd row055-753-9396
3rd row055-762-9307
4th row055-757-1484
5th row055-790-9598
ValueCountFrequency (%)
055-744-2155 3
 
0.3%
055-762-5200 3
 
0.3%
055-758-1970 3
 
0.3%
055-759-6161 3
 
0.3%
055-749-3200 3
 
0.3%
055-758-6720 3
 
0.3%
055-758-0075 2
 
0.2%
055-757-3971 2
 
0.2%
055-760-3000 2
 
0.2%
055-757-0365 2
 
0.2%
Other values (1034) 1097
97.7%
2023-12-11T09:47:54.315046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3472
25.7%
- 2246
16.6%
0 1796
13.3%
7 1673
12.4%
6 709
 
5.3%
2 688
 
5.1%
1 658
 
4.9%
4 611
 
4.5%
8 599
 
4.4%
3 569
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11251
83.4%
Dash Punctuation 2246
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3472
30.9%
0 1796
16.0%
7 1673
14.9%
6 709
 
6.3%
2 688
 
6.1%
1 658
 
5.8%
4 611
 
5.4%
8 599
 
5.3%
3 569
 
5.1%
9 476
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 2246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13497
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3472
25.7%
- 2246
16.6%
0 1796
13.3%
7 1673
12.4%
6 709
 
5.3%
2 688
 
5.1%
1 658
 
4.9%
4 611
 
4.5%
8 599
 
4.4%
3 569
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13497
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3472
25.7%
- 2246
16.6%
0 1796
13.3%
7 1673
12.4%
6 709
 
5.3%
2 688
 
5.1%
1 658
 
4.9%
4 611
 
4.5%
8 599
 
4.4%
3 569
 
4.2%

Interactions

2023-12-11T09:47:49.862727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:47:54.413007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명종업원수
단지명1.0000.296
종업원수0.2961.000
2023-12-11T09:47:54.523769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수단지명
종업원수1.0000.144
단지명0.1441.000

Missing values

2023-12-11T09:47:49.990444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:47:50.104791image/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)SM TECH주형 및 금형 제조업경상남도 진주시 사봉면 산업단지로44번길 22진주일반산업단지6자동차중장비부품(금형)055-757-1484
4(주)가야데이터컴퓨터 제조업 외 1 종경상남도 진주시 정촌면 연꽃로165번길 5진주정촌일반산업단지9반도체메모리스토리지시스템055-790-9598
5(주)거산피앤에프선박 구성 부분품 제조업경상남도 진주시 사봉면 사군로303번길 34진주사봉농공단지7조선기자재배관 SPOOL055-759-7080
6(주)경남일보신문 발행업경상남도 진주시 남강로 1065 (상평동, 경남일보)65일간신문055-751-1000
7(주)경남철공구조용 금속 판제품 및 공작물 제조업경상남도 진주시 공단로 80 (상평동)진주상평지방산업단지8금속문055-752-3205
8(주)경남특장차차체 및 특장차 제조업 외 1 종경상남도 진주시 정촌면 연꽃로165번길 7진주정촌일반산업단지20특장차055-757-1683
9(주)경민직물포대 제조업경상남도 진주시 미천면 진산로2018번길 5010pp마대055-744-2920
업체명업종명소재지단지명종업원수주요생산품전화번호
1138효산테크주형 및 금형 제조업경상남도 진주시 대곡면 진의로 12204자동차 프레스 금형<NA>
1139효성산업(주)도장 및 기타 피막처리업경상남도 진주시 대신로147번길 18 (상평동)진주상평지방산업단지22도장055-755-3661
1140효은철강그 외 기타 분류 안된 금속 가공 제품 제조업 외 1 종경상남도 진주시 진성면 동부로 1448 (진성면 동산리 109-3 제2종근린생활시설 ( )5농산물운반대, 건조대,파레트랙055-742-7747
1141효창유리안전유리 제조업 외 1 종경상남도 진주시 큰들로 95 (상평동) (총 2 필지)진주상평지방산업단지6판유리 및 생활유리055-753-1840
1142휴먼바이오텍(주)생물학적 제제 제조업경상남도 진주시 문산읍 월아산로 991, 성장지원동 307호 (진주바이오산업진흥원)4화장품055-763-6127
1143휴엠케이(주)육상 금속 골조 구조재 제조업 외 3 종경상남도 진주시 정촌면 산업로79번길 6진주정촌일반산업단지5KAAV 구난 위치 창정비, 전술모의 장비 등055-286-9316
1144흥성공업(주)기어 및 동력전달장치 제조업경상남도 진주시 남강로1367번길 5 (상대동)진주상평지방산업단지14중장비부품055-762-0674
1145흥일기계기어 및 동력전달장치 제조업경상남도 진주시 동진로311번길 12 (상대동)진주상평지방산업단지5기어055-753-3506
1146흥진ENG주형 및 금형 제조업경상남도 진주시 남강로1179번길 10-4 (상평동)4주형(금형)055-752-8614
1147희석정밀공업절삭가공 및 유사처리업경상남도 진주시 명석면 광제산로610번길 115자동차부품055-745-3610