Overview

Dataset statistics

Number of variables7
Number of observations963
Missing cells20
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.7 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 20 (2.1%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:47:34.653216
Analysis finished2023-12-11 00:47:35.728132
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct947
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2023-12-11T09:47:35.932948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length6.0851506
Min length2

Characters and Unicode

Total characters5860
Distinct characters381
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

Unique933 ?
Unique (%)96.9%

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 17
 
1.7%
대양산업 4
 
0.4%
제2공장 4
 
0.4%
2공장 3
 
0.3%
진주지점 3
 
0.3%
대선직물 2
 
0.2%
주)성훈철강 2
 
0.2%
일성공업 2
 
0.2%
주)성광 2
 
0.2%
우리영농조합법인 2
 
0.2%
Other values (958) 979
96.0%
2023-12-11T09:47:36.682107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 384
 
6.6%
) 305
 
5.2%
( 305
 
5.2%
업 288
 
4.9%
공 261
 
4.5%
정 171
 
2.9%
사 171
 
2.9%
성 132
 
2.3%
산 117
 
2.0%
기 116
 
2.0%
Other values (371) 3610
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5084
86.8%
Close Punctuation 305
 
5.2%
Open Punctuation 305
 
5.2%
Space Separator 57
 
1.0%
Uppercase Letter 54
 
0.9%
Decimal Number 26
 
0.4%
Other Punctuation 18
 
0.3%
Lowercase Letter 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 384
 
7.6%
업 288
 
5.7%
공 261
 
5.1%
정 171
 
3.4%
사 171
 
3.4%
성 132
 
2.6%
산 117
 
2.3%
기 116
 
2.3%
대 115
 
2.3%
진 109
 
2.1%
Other values (338) 3220
63.3%
Uppercase Letter
ValueCountFrequency (%)
N 6
11.1%
C 6
11.1%
G 6
11.1%
K 5
9.3%
E 5
9.3%
S 5
9.3%
M 4
7.4%
T 4
7.4%
H 3
5.6%
B 3
5.6%
Other values (5) 7
13.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
18.2%
o 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 18
69.2%
1 4
 
15.4%
3 4
 
15.4%
Other Punctuation
ValueCountFrequency (%)
. 16
88.9%
' 1
 
5.6%
& 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 305
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5084
86.8%
Common 711
 
12.1%
Latin 65
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 384
 
7.6%
업 288
 
5.7%
공 261
 
5.1%
정 171
 
3.4%
사 171
 
3.4%
성 132
 
2.6%
산 117
 
2.3%
기 116
 
2.3%
대 115
 
2.3%
진 109
 
2.1%
Other values (338) 3220
63.3%
Latin
ValueCountFrequency (%)
N 6
 
9.2%
C 6
 
9.2%
G 6
 
9.2%
K 5
 
7.7%
E 5
 
7.7%
S 5
 
7.7%
M 4
 
6.2%
T 4
 
6.2%
H 3
 
4.6%
B 3
 
4.6%
Other values (14) 18
27.7%
Common
ValueCountFrequency (%)
) 305
42.9%
( 305
42.9%
57
 
8.0%
2 18
 
2.5%
. 16
 
2.3%
1 4
 
0.6%
3 4
 
0.6%
' 1
 
0.1%
& 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5084
86.8%
ASCII 776
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 384
 
7.6%
업 288
 
5.7%
공 261
 
5.1%
정 171
 
3.4%
사 171
 
3.4%
성 132
 
2.6%
산 117
 
2.3%
기 116
 
2.3%
대 115
 
2.3%
진 109
 
2.1%
Other values (338) 3220
63.3%
ASCII
ValueCountFrequency (%)
) 305
39.3%
( 305
39.3%
57
 
7.3%
2 18
 
2.3%
. 16
 
2.1%
N 6
 
0.8%
C 6
 
0.8%
G 6
 
0.8%
K 5
 
0.6%
E 5
 
0.6%
Other values (23) 47
 
6.1%

업종명
Text

Distinct289
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2023-12-11T09:47:37.026271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length14.527518
Min length3

Characters and Unicode

Total characters13990
Distinct characters268
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

Unique168 ?
Unique (%)17.4%

Sample

1st row포장용 플라스틱 성형용기 제조업
2nd row농업 및 임업용 기계 제조업
3rd row건강기능식품 제조업 외 1 종
4th row선철주물 주조업
5th row복합비료 제조업 외 2 종
ValueCountFrequency (%)
제조업 708
 
16.9%
및 554
 
13.3%
외 159
 
3.8%
종 159
 
3.8%
기타 153
 
3.7%
절삭가공 118
 
2.8%
유사처리업 118
 
2.8%
1 104
 
2.5%
기계 103
 
2.5%
농업 98
 
2.3%
Other values (374) 1903
45.6%
2023-12-11T09:47:37.474867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3214
23.0%
업 1178
 
8.4%
조 868
 
6.2%
제 865
 
6.2%
및 554
 
4.0%
기 466
 
3.3%
용 254
 
1.8%
사 239
 
1.7%
외 237
 
1.7%
품 226
 
1.6%
Other values (258) 5889
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10513
75.1%
Space Separator 3214
 
23.0%
Decimal Number 169
 
1.2%
Other Punctuation 94
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1178
 
11.2%
조 868
 
8.3%
제 865
 
8.2%
및 554
 
5.3%
기 466
 
4.4%
용 254
 
2.4%
사 239
 
2.3%
외 237
 
2.3%
품 226
 
2.1%
공 217
 
2.1%
Other values (248) 5409
51.5%
Decimal Number
ValueCountFrequency (%)
1 114
67.5%
2 31
 
18.3%
3 14
 
8.3%
5 5
 
3.0%
6 3
 
1.8%
4 1
 
0.6%
8 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 87
92.6%
· 7
 
7.4%
Space Separator
ValueCountFrequency (%)
3214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10513
75.1%
Common 3477
 
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1178
 
11.2%
조 868
 
8.3%
제 865
 
8.2%
및 554
 
5.3%
기 466
 
4.4%
용 254
 
2.4%
사 239
 
2.3%
외 237
 
2.3%
품 226
 
2.1%
공 217
 
2.1%
Other values (248) 5409
51.5%
Common
ValueCountFrequency (%)
3214
92.4%
1 114
 
3.3%
, 87
 
2.5%
2 31
 
0.9%
3 14
 
0.4%
· 7
 
0.2%
5 5
 
0.1%
6 3
 
0.1%
4 1
 
< 0.1%
8 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10513
75.1%
ASCII 3470
 
24.8%
None 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3214
92.6%
1 114
 
3.3%
, 87
 
2.5%
2 31
 
0.9%
3 14
 
0.4%
5 5
 
0.1%
6 3
 
0.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 1178
 
11.2%
조 868
 
8.3%
제 865
 
8.2%
및 554
 
5.3%
기 466
 
4.4%
용 254
 
2.4%
사 239
 
2.3%
외 237
 
2.3%
품 226
 
2.1%
공 217
 
2.1%
Other values (248) 5409
51.5%
None
ValueCountFrequency (%)
· 7
100.0%

소재지
Text

Distinct763
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2023-12-11T09:47:37.762315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length24.721703
Min length18

Characters and Unicode

Total characters23807
Distinct characters151
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

Unique635 ?
Unique (%)65.9%

Sample

1st row경상남도 진주시 동진로264번길 12 (상대동) 외 1 필지
2nd row경상남도 진주시 돗골로58번길 19 (상평동)
3rd row경상남도 진주시 문산읍 월아산로950번길 6
4th row경상남도 진주시 대곡면 남강로 2294 외 1 필지
5th row경상남도 진주시 문산읍 월아산로950번길 14-20
ValueCountFrequency (%)
경상남도 963
18.8%
진주시 963
18.8%
상평동 465
 
9.1%
상대동 145
 
2.8%
외 79
 
1.5%
필지 79
 
1.5%
대곡면 67
 
1.3%
문산읍 56
 
1.1%
1 51
 
1.0%
공단로 48
 
0.9%
Other values (633) 2194
42.9%
2023-12-11T09:47:38.225499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4148
17.4%
상 1584
 
6.7%
진 1147
 
4.8%
남 1052
 
4.4%
도 1031
 
4.3%
주 988
 
4.2%
경 967
 
4.1%
시 964
 
4.0%
1 938
 
3.9%
로 921
 
3.9%
Other values (141) 10067
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14184
59.6%
Space Separator 4148
 
17.4%
Decimal Number 3970
 
16.7%
Open Punctuation 657
 
2.8%
Close Punctuation 657
 
2.8%
Dash Punctuation 158
 
0.7%
Other Punctuation 31
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1584
 
11.2%
진 1147
 
8.1%
남 1052
 
7.4%
도 1031
 
7.3%
주 988
 
7.0%
경 967
 
6.8%
시 964
 
6.8%
로 921
 
6.5%
동 872
 
6.1%
길 532
 
3.8%
Other values (124) 4126
29.1%
Decimal Number
ValueCountFrequency (%)
1 938
23.6%
2 530
13.4%
3 412
10.4%
5 350
 
8.8%
4 322
 
8.1%
9 300
 
7.6%
6 294
 
7.4%
0 283
 
7.1%
7 277
 
7.0%
8 264
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
4148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 657
100.0%
Close Punctuation
ValueCountFrequency (%)
) 657
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14184
59.6%
Common 9621
40.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1584
 
11.2%
진 1147
 
8.1%
남 1052
 
7.4%
도 1031
 
7.3%
주 988
 
7.0%
경 967
 
6.8%
시 964
 
6.8%
로 921
 
6.5%
동 872
 
6.1%
길 532
 
3.8%
Other values (124) 4126
29.1%
Common
ValueCountFrequency (%)
4148
43.1%
1 938
 
9.7%
( 657
 
6.8%
) 657
 
6.8%
2 530
 
5.5%
3 412
 
4.3%
5 350
 
3.6%
4 322
 
3.3%
9 300
 
3.1%
6 294
 
3.1%
Other values (5) 1013
 
10.5%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14184
59.6%
ASCII 9623
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4148
43.1%
1 938
 
9.7%
( 657
 
6.8%
) 657
 
6.8%
2 530
 
5.5%
3 412
 
4.3%
5 350
 
3.6%
4 322
 
3.3%
9 300
 
3.1%
6 294
 
3.1%
Other values (7) 1015
 
10.5%
Hangul
ValueCountFrequency (%)
상 1584
 
11.2%
진 1147
 
8.1%
남 1052
 
7.4%
도 1031
 
7.3%
주 988
 
7.0%
경 967
 
6.8%
시 964
 
6.8%
로 921
 
6.5%
동 872
 
6.1%
길 532
 
3.8%
Other values (124) 4126
29.1%

단지명
Categorical

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
진주상평지방산업단지
539 
336 
진주대곡농공단지
 
23
진주사봉농공단지
 
18
진주진성농공단지
 
18
Other values (3)
 
29

Length

Max length12
Median length10
Mean length6.7570093
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진주상평지방산업단지 539
56.0%
336
34.9%
진주대곡농공단지 23
 
2.4%
진주사봉농공단지 18
 
1.9%
진주진성농공단지 18
 
1.9%
진주생물산업전문농공단지 14
 
1.5%
진주이반성농공단지 9
 
0.9%
진주실크전문농공단지 6
 
0.6%

Length

2023-12-11T09:47:38.347214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:47:38.487828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진주상평지방산업단지 539
86.0%
진주대곡농공단지 23
 
3.7%
진주사봉농공단지 18
 
2.9%
진주진성농공단지 18
 
2.9%
진주생물산업전문농공단지 14
 
2.2%
진주이반성농공단지 9
 
1.4%
진주실크전문농공단지 6
 
1.0%

종업원수
Real number (ℝ)

Distinct73
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.539979
Minimum1
Maximum444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2023-12-11T09:47:38.639356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q314
95-th percentile43
Maximum444
Range443
Interquartile range (IQR)10

Descriptive statistics

Standard deviation24.72748
Coefficient of variation (CV)1.8262568
Kurtosis117.04756
Mean13.539979
Median Absolute Deviation (MAD)4
Skewness8.7271665
Sum13039
Variance611.44824
MonotonicityNot monotonic
2023-12-11T09:47:38.788152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 109
 
11.3%
3 99
 
10.3%
5 94
 
9.8%
2 73
 
7.6%
10 66
 
6.9%
8 48
 
5.0%
7 48
 
5.0%
6 47
 
4.9%
9 43
 
4.5%
1 33
 
3.4%
Other values (63) 303
31.5%
ValueCountFrequency (%)
1 33
 
3.4%
2 73
7.6%
3 99
10.3%
4 109
11.3%
5 94
9.8%
6 47
4.9%
7 48
5.0%
8 48
5.0%
9 43
 
4.5%
10 66
6.9%
ValueCountFrequency (%)
444 1
0.1%
256 1
0.1%
230 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%
103 1
0.1%

주요생산품
Text

Distinct725
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2023-12-11T09:47:39.077561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length8.1069574
Min length1

Characters and Unicode

Total characters7807
Distinct characters481
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

Unique664 ?
Unique (%)69.0%

Sample

1st row육묘상자
2nd row농기계부품
3rd row버섯균사체,공액리놀레산
4th row자동차부품
5th row복합비료,사료,기타비료등
ValueCountFrequency (%)
자동차부품 68
 
4.7%
농기계부품 64
 
4.5%
및 34
 
2.4%
부품 26
 
1.8%
중장비부품 26
 
1.8%
자동차 19
 
1.3%
기어 18
 
1.3%
농기구부품 16
 
1.1%
견직물 13
 
0.9%
농기계 11
 
0.8%
Other values (933) 1139
79.4%
2023-12-11T09:47:39.607901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
471
 
6.0%
품 391
 
5.0%
부 373
 
4.8%
기 373
 
4.8%
, 372
 
4.8%
자 194
 
2.5%
동 191
 
2.4%
차 170
 
2.2%
농 166
 
2.1%
계 153
 
2.0%
Other values (471) 4953
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6494
83.2%
Space Separator 471
 
6.0%
Other Punctuation 393
 
5.0%
Uppercase Letter 142
 
1.8%
Open Punctuation 137
 
1.8%
Close Punctuation 135
 
1.7%
Lowercase Letter 29
 
0.4%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 391
 
6.0%
부 373
 
5.7%
기 373
 
5.7%
자 194
 
3.0%
동 191
 
2.9%
차 170
 
2.6%
농 166
 
2.6%
계 153
 
2.4%
장 122
 
1.9%
조 113
 
1.7%
Other values (430) 4248
65.4%
Uppercase Letter
ValueCountFrequency (%)
P 26
18.3%
E 18
12.7%
A 10
 
7.0%
L 10
 
7.0%
C 8
 
5.6%
O 8
 
5.6%
S 8
 
5.6%
H 7
 
4.9%
T 7
 
4.9%
G 6
 
4.2%
Other values (10) 34
23.9%
Lowercase Letter
ValueCountFrequency (%)
s 4
13.8%
a 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%
h 1
 
3.4%
f 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 (%)
, 372
94.7%
. 21
 
5.3%
Space Separator
ValueCountFrequency (%)
471
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6494
83.2%
Common 1142
 
14.6%
Latin 171
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 391
 
6.0%
부 373
 
5.7%
기 373
 
5.7%
자 194
 
3.0%
동 191
 
2.9%
차 170
 
2.6%
농 166
 
2.6%
계 153
 
2.4%
장 122
 
1.9%
조 113
 
1.7%
Other values (430) 4248
65.4%
Latin
ValueCountFrequency (%)
P 26
15.2%
E 18
 
10.5%
A 10
 
5.8%
L 10
 
5.8%
C 8
 
4.7%
O 8
 
4.7%
S 8
 
4.7%
H 7
 
4.1%
T 7
 
4.1%
G 6
 
3.5%
Other values (23) 63
36.8%
Common
ValueCountFrequency (%)
471
41.2%
, 372
32.6%
( 137
 
12.0%
) 135
 
11.8%
. 21
 
1.8%
2 3
 
0.3%
1 2
 
0.2%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6494
83.2%
ASCII 1313
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
471
35.9%
, 372
28.3%
( 137
 
10.4%
) 135
 
10.3%
P 26
 
2.0%
. 21
 
1.6%
E 18
 
1.4%
A 10
 
0.8%
L 10
 
0.8%
C 8
 
0.6%
Other values (31) 105
 
8.0%
Hangul
ValueCountFrequency (%)
품 391
 
6.0%
부 373
 
5.7%
기 373
 
5.7%
자 194
 
3.0%
동 191
 
2.9%
차 170
 
2.6%
농 166
 
2.6%
계 153
 
2.4%
장 122
 
1.9%
조 113
 
1.7%
Other values (430) 4248
65.4%

전화번호
Text

MISSING 

Distinct896
Distinct (%)95.0%
Missing20
Missing (%)2.1%
Memory size7.7 KiB
2023-12-11T09:47:39.938259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006363
Min length12

Characters and Unicode

Total characters11322
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

Unique857 ?
Unique (%)90.9%

Sample

1st row055-762-4588
2nd row055-753-9396
3rd row055-762-9307
4th row055-746-0040
5th row055-763-0241
ValueCountFrequency (%)
055-758-0075 4
 
0.4%
055-752-4993 3
 
0.3%
055-759-5836 3
 
0.3%
055-758-6391 3
 
0.3%
055-762-5200 3
 
0.3%
055-758-1970 3
 
0.3%
055-753-6141 3
 
0.3%
055-759-0075 2
 
0.2%
055-762-9891 2
 
0.2%
055-752-4416 2
 
0.2%
Other values (886) 915
97.0%
2023-12-11T09:47:40.415128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2998
26.5%
- 1886
16.7%
0 1484
13.1%
7 1393
12.3%
6 587
 
5.2%
2 576
 
5.1%
1 544
 
4.8%
4 495
 
4.4%
8 491
 
4.3%
3 479
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9436
83.3%
Dash Punctuation 1886
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2998
31.8%
0 1484
15.7%
7 1393
14.8%
6 587
 
6.2%
2 576
 
6.1%
1 544
 
5.8%
4 495
 
5.2%
8 491
 
5.2%
3 479
 
5.1%
9 389
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1886
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11322
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2998
26.5%
- 1886
16.7%
0 1484
13.1%
7 1393
12.3%
6 587
 
5.2%
2 576
 
5.1%
1 544
 
4.8%
4 495
 
4.4%
8 491
 
4.3%
3 479
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11322
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2998
26.5%
- 1886
16.7%
0 1484
13.1%
7 1393
12.3%
6 587
 
5.2%
2 576
 
5.1%
1 544
 
4.8%
4 495
 
4.4%
8 491
 
4.3%
3 479
 
4.2%

Interactions

2023-12-11T09:47:35.418079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:47:40.530182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명종업원수
단지명1.0000.181
종업원수0.1811.000
2023-12-11T09:47:40.634932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수단지명
종업원수1.0000.101
단지명0.1011.000

Missing values

2023-12-11T09:47:35.547886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:47:35.676540image/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) 외 1 필지진주상평지방산업단지29육묘상자055-762-4588
1(유)유창ENG농업 및 임업용 기계 제조업경상남도 진주시 돗골로58번길 19 (상평동)진주상평지방산업단지20농기계부품055-753-9396
2(주)HK바이오텍건강기능식품 제조업 외 1 종경상남도 진주시 문산읍 월아산로950번길 6진주생물산업전문농공단지9버섯균사체,공액리놀레산055-762-9307
3(주)HM금속선철주물 주조업경상남도 진주시 대곡면 남강로 2294 외 1 필지66자동차부품055-746-0040
4(주)K.B.C복합비료 제조업 외 2 종경상남도 진주시 문산읍 월아산로950번길 14-20진주생물산업전문농공단지20복합비료,사료,기타비료등055-763-0241
5(주)거산피앤에프금속 조립구조재 제조업경상남도 진주시 사봉면 사군로303번길 34진주사봉농공단지27발전배관 SPOOL055-759-7080
6(주)경남일보신문 발행업경상남도 진주시 남강로 1065 (상평동)65일간신문055-751-1000
7(주)경남철공구조용 금속판제품 및 금속공작물 제조업경상남도 진주시 공단로 80 (상평동)진주상평지방산업단지8금속문055-752-3205
8(주)경민산업금속 조립구조재 제조업경상남도 진주시 대신로148번길 16 (상평동)진주상평지방산업단지7금속문055-761-0760
9(주)경신석면, 암면 및 유사제품 제조업경상남도 진주시 명석면 남성로689번길 11524모래(골재)055-746-6886
업체명업종명소재지단지명종업원수주요생산품전화번호
953화진철강공업사구조용 금속판제품 및 금속공작물 제조업경상남도 진주시 큰들로 149 (상평동)진주상평지방산업단지1건축잡자재,통신기기부품055-755-2220
954환덕견직견직물 직조업경상남도 진주시 대곡면 남강로 23023한복지(한복안지)055-745-6640
955회성정공절삭가공 및 유사처리업경상남도 진주시 돗골로25번길 16-4 (상평동)2농기계부품(차축)055-753-6788
956효성산업도장 및 기타 피막처리업경상남도 진주시 대신로147번길 18 (상평동)진주상평지방산업단지22도장055-755-3661
957효창유리판유리 가공품 제조업경상남도 진주시 솔밭로 28 (상평동)진주상평지방산업단지4거울055-753-1840
958휴먼바이오텍(주)생물학적 제제 제조업경상남도 진주시 문산읍 월아산로 991, 바이오21센터 생산동 201호, 202호2줄기세포 및 배양물055-763-6127
959흥성공업(주)기어 및 동력전달장치 제조업경상남도 진주시 남강로 1363 (상대동)진주상평지방산업단지14중장비부품055-762-0674
960흥일기계기어 및 동력전달장치 제조업경상남도 진주시 동진로311번길 12 (상대동)진주상평지방산업단지5기어055-753-3506
961흥진ENG주형 및 금형 제조업경상남도 진주시 남강로1179번길 10-4 (상평동)4주형(금형)055-752-8614
962흥한산업(주)토목공사 및 유사용 기계장비 제조업경상남도 진주시 도동로 134 (상대동)진주상평지방산업단지7중장비부품(토목공사및 유사품제조)055-752-7100