Overview

Dataset statistics

Number of variables7
Number of observations1196
Missing cells35
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.7 KiB
Average record size in memory57.1 B

Variable types

Text5
Categorical1
Numeric1

Dataset

Description진주시 관내에 제조업체로 최초로 등록된 공장 등록자료입니다. 공장등록시스템에서 내려 받은 자료입니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15034937

Alerts

전화번호 has 35 (2.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:20:39.755254
Analysis finished2023-12-10 23:20:40.816626
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct1163
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-11T08:20:41.016879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length6.3729097
Min length1

Characters and Unicode

Total characters7622
Distinct characters435
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

Unique1131 ?
Unique (%)94.6%

Sample

1st row(유)동양프라스틱
2nd row(유)유창ENG
3rd row(주)HK바이오텍
4th row(주)SM TECH
5th row(주)가야데이터
ValueCountFrequency (%)
농업회사법인 9
 
0.7%
제2공장 8
 
0.6%
주식회사 8
 
0.6%
진주지점 5
 
0.4%
진주공장 5
 
0.4%
2공장 5
 
0.4%
사봉공장 4
 
0.3%
tech 3
 
0.2%
주)성광 3
 
0.2%
대영정밀 3
 
0.2%
Other values (1169) 1231
95.9%
2023-12-11T08:20:41.424040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 552
 
7.2%
( 477
 
6.3%
) 477
 
6.3%
업 313
 
4.1%
공 281
 
3.7%
정 187
 
2.5%
사 165
 
2.2%
진 151
 
2.0%
성 146
 
1.9%
산 146
 
1.9%
Other values (425) 4727
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6394
83.9%
Open Punctuation 477
 
6.3%
Close Punctuation 477
 
6.3%
Uppercase Letter 126
 
1.7%
Space Separator 89
 
1.2%
Decimal Number 36
 
0.5%
Other Punctuation 15
 
0.2%
Lowercase Letter 7
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 552
 
8.6%
업 313
 
4.9%
공 281
 
4.4%
정 187
 
2.9%
사 165
 
2.6%
진 151
 
2.4%
성 146
 
2.3%
산 146
 
2.3%
이 133
 
2.1%
대 130
 
2.0%
Other values (387) 4190
65.5%
Uppercase Letter
ValueCountFrequency (%)
N 16
12.7%
E 14
11.1%
G 14
11.1%
S 13
10.3%
T 12
9.5%
C 11
8.7%
M 7
 
5.6%
P 5
 
4.0%
K 5
 
4.0%
H 5
 
4.0%
Other values (11) 24
19.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
14.3%
c 1
14.3%
e 1
14.3%
t 1
14.3%
l 1
14.3%
u 1
14.3%
o 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 28
77.8%
3 6
 
16.7%
1 1
 
2.8%
4 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 10
66.7%
& 5
33.3%
Open Punctuation
ValueCountFrequency (%)
( 477
100.0%
Close Punctuation
ValueCountFrequency (%)
) 477
100.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6394
83.9%
Common 1095
 
14.4%
Latin 133
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 552
 
8.6%
업 313
 
4.9%
공 281
 
4.4%
정 187
 
2.9%
사 165
 
2.6%
진 151
 
2.4%
성 146
 
2.3%
산 146
 
2.3%
이 133
 
2.1%
대 130
 
2.0%
Other values (387) 4190
65.5%
Latin
ValueCountFrequency (%)
N 16
12.0%
E 14
10.5%
G 14
10.5%
S 13
9.8%
T 12
 
9.0%
C 11
 
8.3%
M 7
 
5.3%
P 5
 
3.8%
K 5
 
3.8%
H 5
 
3.8%
Other values (18) 31
23.3%
Common
ValueCountFrequency (%)
( 477
43.6%
) 477
43.6%
89
 
8.1%
2 28
 
2.6%
. 10
 
0.9%
3 6
 
0.5%
& 5
 
0.5%
- 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6394
83.9%
ASCII 1228
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 552
 
8.6%
업 313
 
4.9%
공 281
 
4.4%
정 187
 
2.9%
사 165
 
2.6%
진 151
 
2.4%
성 146
 
2.3%
산 146
 
2.3%
이 133
 
2.1%
대 130
 
2.0%
Other values (387) 4190
65.5%
ASCII
ValueCountFrequency (%)
( 477
38.8%
) 477
38.8%
89
 
7.2%
2 28
 
2.3%
N 16
 
1.3%
E 14
 
1.1%
G 14
 
1.1%
S 13
 
1.1%
T 12
 
1.0%
C 11
 
0.9%
Other values (28) 77
 
6.3%

단지명
Categorical

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
진주상평지방산업단지
499 
452 
진주정촌일반산업단지
95 
진주일반산업단지
52 
진주실크전문농공단지
 
23
Other values (6)
75 

Length

Max length12
Median length10
Mean length6.4531773
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진주상평지방산업단지 499
41.7%
452
37.8%
진주정촌일반산업단지 95
 
7.9%
진주일반산업단지 52
 
4.3%
진주실크전문농공단지 23
 
1.9%
진주대곡농공단지 18
 
1.5%
진주생물산업전문농공단지 17
 
1.4%
진주진성농공단지 15
 
1.3%
진주사봉농공단지 15
 
1.3%
진주이반성농공단지 8
 
0.7%

Length

2023-12-11T08:20:41.555773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
진주상평지방산업단지 499
67.1%
진주정촌일반산업단지 95
 
12.8%
진주일반산업단지 52
 
7.0%
진주실크전문농공단지 23
 
3.1%
진주대곡농공단지 18
 
2.4%
진주생물산업전문농공단지 17
 
2.3%
진주진성농공단지 15
 
2.0%
진주사봉농공단지 15
 
2.0%
진주이반성농공단지 8
 
1.1%
진주지수일반산업단지 2
 
0.3%

전화번호
Text

MISSING 

Distinct1078
Distinct (%)92.9%
Missing35
Missing (%)2.9%
Memory size9.5 KiB
2023-12-11T08:20:41.778482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018949
Min length9

Characters and Unicode

Total characters13954
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

Unique1002 ?
Unique (%)86.3%

Sample

1st row055-762-4588
2nd row055-753-9396
3rd row055-762-9307
4th row055-757-1484
5th row055-790-9598
ValueCountFrequency (%)
055-758-1546 3
 
0.3%
055-758-6720 3
 
0.3%
055-762-5200 3
 
0.3%
055-748-8520 3
 
0.3%
055-749-3200 3
 
0.3%
055-759-6161 3
 
0.3%
055-744-2155 3
 
0.3%
055-759-1461 2
 
0.2%
055-756-7090 2
 
0.2%
055-752-1396 2
 
0.2%
Other values (1068) 1134
97.7%
2023-12-11T08:20:42.211569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3558
25.5%
- 2321
16.6%
0 1878
13.5%
7 1717
12.3%
6 726
 
5.2%
2 724
 
5.2%
1 679
 
4.9%
8 625
 
4.5%
4 624
 
4.5%
3 591
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11633
83.4%
Dash Punctuation 2321
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3558
30.6%
0 1878
16.1%
7 1717
14.8%
6 726
 
6.2%
2 724
 
6.2%
1 679
 
5.8%
8 625
 
5.4%
4 624
 
5.4%
3 591
 
5.1%
9 511
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 2321
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13954
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3558
25.5%
- 2321
16.6%
0 1878
13.5%
7 1717
12.3%
6 726
 
5.2%
2 724
 
5.2%
1 679
 
4.9%
8 625
 
4.5%
4 624
 
4.5%
3 591
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3558
25.5%
- 2321
16.6%
0 1878
13.5%
7 1717
12.3%
6 726
 
5.2%
2 724
 
5.2%
1 679
 
4.9%
8 625
 
4.5%
4 624
 
4.5%
3 591
 
4.2%

종업원수
Real number (ℝ)

Distinct80
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.295987
Minimum0
Maximum440
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2023-12-11T08:20:42.396919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q313
95-th percentile42
Maximum440
Range440
Interquartile range (IQR)9

Descriptive statistics

Standard deviation25.407165
Coefficient of variation (CV)1.9108898
Kurtosis102.68747
Mean13.295987
Median Absolute Deviation (MAD)3
Skewness8.326152
Sum15902
Variance645.52403
MonotonicityNot monotonic
2023-12-11T08:20:42.559921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 133
 
11.1%
5 132
 
11.0%
4 122
 
10.2%
2 105
 
8.8%
10 73
 
6.1%
6 69
 
5.8%
7 62
 
5.2%
8 55
 
4.6%
9 49
 
4.1%
1 44
 
3.7%
Other values (70) 352
29.4%
ValueCountFrequency (%)
0 2
 
0.2%
1 44
 
3.7%
2 105
8.8%
3 133
11.1%
4 122
10.2%
5 132
11.0%
6 69
5.8%
7 62
5.2%
8 55
4.6%
9 49
 
4.1%
ValueCountFrequency (%)
440 1
0.1%
316 1
0.1%
290 1
0.1%
207 1
0.1%
185 1
0.1%
180 1
0.1%
151 1
0.1%
147 1
0.1%
140 1
0.1%
119 1
0.1%

생산품
Text

Distinct936
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-11T08:20:42.840114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length37
Mean length8.9598662
Min length1

Characters and Unicode

Total characters10716
Distinct characters509
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

Unique857 ?
Unique (%)71.7%

Sample

1st row육묘상자
2nd row농기계부품
3rd row버섯균사체,공액리놀레산
4th row자동차중장비부품(금형)
5th row반도체메모리스토리지시스템
ValueCountFrequency (%)
등 78
 
3.8%
농기계부품 76
 
3.7%
자동차부품 65
 
3.2%
및 55
 
2.7%
부품 45
 
2.2%
자동차 37
 
1.8%
기어 23
 
1.1%
중장비 21
 
1.0%
농기계 17
 
0.8%
농기구부품 15
 
0.7%
Other values (1202) 1595
78.7%
2023-12-11T08:20:43.269947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
835
 
7.8%
, 578
 
5.4%
기 516
 
4.8%
품 499
 
4.7%
부 453
 
4.2%
자 236
 
2.2%
동 221
 
2.1%
농 212
 
2.0%
차 202
 
1.9%
계 200
 
1.9%
Other values (499) 6764
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8746
81.6%
Space Separator 835
 
7.8%
Other Punctuation 593
 
5.5%
Uppercase Letter 214
 
2.0%
Open Punctuation 160
 
1.5%
Close Punctuation 158
 
1.5%
Decimal Number 7
 
0.1%
Lowercase Letter 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 516
 
5.9%
품 499
 
5.7%
부 453
 
5.2%
자 236
 
2.7%
동 221
 
2.5%
농 212
 
2.4%
차 202
 
2.3%
계 200
 
2.3%
장 156
 
1.8%
조 147
 
1.7%
Other values (467) 5904
67.5%
Uppercase Letter
ValueCountFrequency (%)
C 32
15.0%
P 27
12.6%
V 19
8.9%
E 18
8.4%
T 18
8.4%
A 14
 
6.5%
D 13
 
6.1%
L 12
 
5.6%
S 9
 
4.2%
B 8
 
3.7%
Other values (12) 44
20.6%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
3 2
28.6%
Other Punctuation
ValueCountFrequency (%)
, 578
97.5%
. 15
 
2.5%
Space Separator
ValueCountFrequency (%)
835
100.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Lowercase Letter
ValueCountFrequency (%)
p 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8746
81.6%
Common 1754
 
16.4%
Latin 216
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 516
 
5.9%
품 499
 
5.7%
부 453
 
5.2%
자 236
 
2.7%
동 221
 
2.5%
농 212
 
2.4%
차 202
 
2.3%
계 200
 
2.3%
장 156
 
1.8%
조 147
 
1.7%
Other values (467) 5904
67.5%
Latin
ValueCountFrequency (%)
C 32
14.8%
P 27
12.5%
V 19
8.8%
E 18
 
8.3%
T 18
 
8.3%
A 14
 
6.5%
D 13
 
6.0%
L 12
 
5.6%
S 9
 
4.2%
B 8
 
3.7%
Other values (13) 46
21.3%
Common
ValueCountFrequency (%)
835
47.6%
, 578
33.0%
( 160
 
9.1%
) 158
 
9.0%
. 15
 
0.9%
2 3
 
0.2%
1 2
 
0.1%
3 2
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8746
81.6%
ASCII 1970
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
835
42.4%
, 578
29.3%
( 160
 
8.1%
) 158
 
8.0%
C 32
 
1.6%
P 27
 
1.4%
V 19
 
1.0%
E 18
 
0.9%
T 18
 
0.9%
. 15
 
0.8%
Other values (22) 110
 
5.6%
Hangul
ValueCountFrequency (%)
기 516
 
5.9%
품 499
 
5.7%
부 453
 
5.2%
자 236
 
2.7%
동 221
 
2.5%
농 212
 
2.4%
차 202
 
2.3%
계 200
 
2.3%
장 156
 
1.8%
조 147
 
1.7%
Other values (467) 5904
67.5%

공장대표주소
Text

Distinct1016
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-11T08:20:43.591572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length59
Mean length26.674749
Min length18

Characters and Unicode

Total characters31903
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

Unique895 ?
Unique (%)74.8%

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 1196
 
17.8%
진주시 1196
 
17.8%
상평동 438
 
6.5%
상대동 142
 
2.1%
필지 127
 
1.9%
총 127
 
1.9%
정촌면 103
 
1.5%
문산읍 98
 
1.5%
2 88
 
1.3%
사봉면 86
 
1.3%
Other values (892) 3132
46.5%
2023-12-11T08:20:44.026268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5562
 
17.4%
상 1808
 
5.7%
진 1451
 
4.5%
남 1305
 
4.1%
주 1272
 
4.0%
도 1261
 
4.0%
1 1230
 
3.9%
경 1229
 
3.9%
시 1198
 
3.8%
로 1130
 
3.5%
Other values (210) 14457
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18779
58.9%
Space Separator 5562
 
17.4%
Decimal Number 5373
 
16.8%
Open Punctuation 881
 
2.8%
Close Punctuation 874
 
2.7%
Dash Punctuation 248
 
0.8%
Other Punctuation 138
 
0.4%
Uppercase Letter 48
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1808
 
9.6%
진 1451
 
7.7%
남 1305
 
6.9%
주 1272
 
6.8%
도 1261
 
6.7%
경 1229
 
6.5%
시 1198
 
6.4%
로 1130
 
6.0%
동 969
 
5.2%
길 686
 
3.7%
Other values (187) 6470
34.5%
Decimal Number
ValueCountFrequency (%)
1 1230
22.9%
2 730
13.6%
4 497
9.2%
3 495
9.2%
5 489
 
9.1%
9 429
 
8.0%
0 422
 
7.9%
6 393
 
7.3%
8 346
 
6.4%
7 342
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
A 21
43.8%
B 14
29.2%
C 7
 
14.6%
S 2
 
4.2%
E 2
 
4.2%
L 1
 
2.1%
K 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 137
99.3%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
5562
100.0%
Open Punctuation
ValueCountFrequency (%)
( 881
100.0%
Close Punctuation
ValueCountFrequency (%)
) 874
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18779
58.9%
Common 13076
41.0%
Latin 48
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1808
 
9.6%
진 1451
 
7.7%
남 1305
 
6.9%
주 1272
 
6.8%
도 1261
 
6.7%
경 1229
 
6.5%
시 1198
 
6.4%
로 1130
 
6.0%
동 969
 
5.2%
길 686
 
3.7%
Other values (187) 6470
34.5%
Common
ValueCountFrequency (%)
5562
42.5%
1 1230
 
9.4%
( 881
 
6.7%
) 874
 
6.7%
2 730
 
5.6%
4 497
 
3.8%
3 495
 
3.8%
5 489
 
3.7%
9 429
 
3.3%
0 422
 
3.2%
Other values (6) 1467
 
11.2%
Latin
ValueCountFrequency (%)
A 21
43.8%
B 14
29.2%
C 7
 
14.6%
S 2
 
4.2%
E 2
 
4.2%
L 1
 
2.1%
K 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18779
58.9%
ASCII 13124
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5562
42.4%
1 1230
 
9.4%
( 881
 
6.7%
) 874
 
6.7%
2 730
 
5.6%
4 497
 
3.8%
3 495
 
3.8%
5 489
 
3.7%
9 429
 
3.3%
0 422
 
3.2%
Other values (13) 1515
 
11.5%
Hangul
ValueCountFrequency (%)
상 1808
 
9.6%
진 1451
 
7.7%
남 1305
 
6.9%
주 1272
 
6.8%
도 1261
 
6.7%
경 1229
 
6.5%
시 1198
 
6.4%
로 1130
 
6.0%
동 969
 
5.2%
길 686
 
3.7%
Other values (187) 6470
34.5%

업종명
Text

Distinct382
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-11T08:20:44.469729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length16.448161
Min length3

Characters and Unicode

Total characters19672
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

Unique231 ?
Unique (%)19.3%

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 862
 
13.6%
및 720
 
11.4%
외 512
 
8.1%
종 422
 
6.7%
1 235
 
3.7%
기타 191
 
3.0%
절삭가공 183
 
2.9%
유사처리업 183
 
2.9%
기계 123
 
1.9%
농업 113
 
1.8%
Other values (434) 2780
44.0%
2023-12-11T08:20:45.051939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5128
26.1%
업 1442
 
7.3%
제 1058
 
5.4%
조 1052
 
5.3%
및 720
 
3.7%
기 577
 
2.9%
외 520
 
2.6%
종 436
 
2.2%
용 371
 
1.9%
품 343
 
1.7%
Other values (280) 8025
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14001
71.2%
Space Separator 5128
 
26.1%
Decimal Number 437
 
2.2%
Other Punctuation 92
 
0.5%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1442
 
10.3%
제 1058
 
7.6%
조 1052
 
7.5%
및 720
 
5.1%
기 577
 
4.1%
외 520
 
3.7%
종 436
 
3.1%
용 371
 
2.6%
품 343
 
2.4%
공 281
 
2.0%
Other values (266) 7201
51.4%
Decimal Number
ValueCountFrequency (%)
1 250
57.2%
3 67
 
15.3%
2 55
 
12.6%
4 32
 
7.3%
5 18
 
4.1%
6 7
 
1.6%
7 6
 
1.4%
9 1
 
0.2%
8 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 90
97.8%
. 2
 
2.2%
Space Separator
ValueCountFrequency (%)
5128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14001
71.2%
Common 5671
28.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1442
 
10.3%
제 1058
 
7.6%
조 1052
 
7.5%
및 720
 
5.1%
기 577
 
4.1%
외 520
 
3.7%
종 436
 
3.1%
용 371
 
2.6%
품 343
 
2.4%
공 281
 
2.0%
Other values (266) 7201
51.4%
Common
ValueCountFrequency (%)
5128
90.4%
1 250
 
4.4%
, 90
 
1.6%
3 67
 
1.2%
2 55
 
1.0%
4 32
 
0.6%
5 18
 
0.3%
( 7
 
0.1%
6 7
 
0.1%
) 7
 
0.1%
Other values (4) 10
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13992
71.1%
ASCII 5671
28.8%
Compat Jamo 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5128
90.4%
1 250
 
4.4%
, 90
 
1.6%
3 67
 
1.2%
2 55
 
1.0%
4 32
 
0.6%
5 18
 
0.3%
( 7
 
0.1%
6 7
 
0.1%
) 7
 
0.1%
Other values (4) 10
 
0.2%
Hangul
ValueCountFrequency (%)
업 1442
 
10.3%
제 1058
 
7.6%
조 1052
 
7.5%
및 720
 
5.1%
기 577
 
4.1%
외 520
 
3.7%
종 436
 
3.1%
용 371
 
2.7%
품 343
 
2.5%
공 281
 
2.0%
Other values (265) 7192
51.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%

Interactions

2023-12-11T08:20:40.537326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:20:45.188520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명종업원수
단지명1.0000.298
종업원수0.2981.000
2023-12-11T08:20:45.266599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수단지명
종업원수1.0000.146
단지명0.1461.000

Missing values

2023-12-11T08:20:40.660499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:20:40.770542image/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

회사명단지명전화번호종업원수생산품공장대표주소업종명
0(유)동양프라스틱진주상평지방산업단지055-762-458829육묘상자경상남도 진주시 동진로264번길 12 (상대동) (총 2 필지)포장용 플라스틱 성형용기 제조업
1(유)유창ENG진주상평지방산업단지055-753-939620농기계부품경상남도 진주시 돗골로58번길 19 (상평동)농업 및 임업용 기계 제조업
2(주)HK바이오텍진주생물산업전문농공단지055-762-930718버섯균사체,공액리놀레산경상남도 진주시 문산읍 월아산로950번길 6건강기능식품 제조업 외 1 종
3(주)SM TECH진주일반산업단지055-757-14846자동차중장비부품(금형)경상남도 진주시 사봉면 산업단지로44번길 22주형 및 금형 제조업
4(주)가야데이터진주정촌일반산업단지055-790-95989반도체메모리스토리지시스템경상남도 진주시 정촌면 연꽃로165번길 5컴퓨터 제조업 외 1 종
5(주)경남일보055-751-100563일간신문경상남도 진주시 남강로 1065 (상평동, 경남일보)신문 발행업
6(주)경남철공진주상평지방산업단지055-752-32058금속문경상남도 진주시 공단로 80 (상평동)구조용 금속 판제품 및 공작물 제조업
7(주)경남특장차진주정촌일반산업단지055-757-168320특장차경상남도 진주시 정촌면 연꽃로165번길 7차체 및 특장차 제조업 외 1 종
8(주)경민055-744-292010pp마대경상남도 진주시 미천면 진산로2018번길 50직물포대 제조업
9(주)경민산업진주일반산업단지055-761-07607철구조물,흙막이용 주열벽구조체경상남도 진주시 사봉면 산업단지로43번길 39 (총 2 필지)육상 금속 골조 구조재 제조업 외 1 종
회사명단지명전화번호종업원수생산품공장대표주소업종명
1186회성정공055-753-67882농기계부품(차축)경상남도 진주시 큰들로 78 (상평동)절삭가공 및 유사처리업
1187효산테크<NA>4자동차 프레스 금형경상남도 진주시 대곡면 진의로 1220주형 및 금형 제조업
1188효성산업(주)진주상평지방산업단지055-755-366122도장경상남도 진주시 대신로147번길 18 (상평동)도장 및 기타 피막처리업
1189효은철강055-742-77475농산물운반대, 건조대,파레트랙경상남도 진주시 진성면 동부로 1448 (진성면 동산리 109-3 제2종근린생활시설 ( )그 외 기타 분류 안된 금속 가공 제품 제조업 외 1 종
1190효창유리진주상평지방산업단지055-753-184010판유리 및 생활유리경상남도 진주시 큰들로 95 (상평동) (총 2 필지)안전유리 제조업 외 1 종
1191휴먼바이오텍(주)055-763-61274화장품경상남도 진주시 문산읍 월아산로 991, 성장지원동 307호 (진주바이오산업진흥원)생물학적 제제 제조업
1192흥성공업(주)진주상평지방산업단지055-762-067414중장비부품경상남도 진주시 남강로1367번길 5 (상대동)기어 및 동력전달장치 제조업
1193흥일기계진주상평지방산업단지055-753-35065기어경상남도 진주시 동진로311번길 12 (상대동)기어 및 동력전달장치 제조업
1194흥진ENG055-752-86144주형(금형)경상남도 진주시 남강로1179번길 10-4 (상평동)주형 및 금형 제조업
1195희석정밀공업055-745-36105자동차부품경상남도 진주시 명석면 광제산로610번길 11절삭가공 및 유사처리업