Overview

Dataset statistics

Number of variables8
Number of observations535
Missing cells159
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.1 KiB
Average record size in memory65.2 B

Variable types

Numeric1
Text6
DateTime1

Dataset

Description경상남도 사천시에 위치한 제조업체에 관한 데이터입니다.(회사명, 전화번호, 팩스번호, 주소, 업종명, 생산품)
Author경상남도 사천시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15034992

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 58 (10.8%) missing valuesMissing
팩스번호 has 95 (17.8%) missing valuesMissing
업종명 has 6 (1.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:09:53.423997
Analysis finished2023-12-11 00:09:54.368650
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct535
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268
Minimum1
Maximum535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-11T09:09:54.438128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.7
Q1134.5
median268
Q3401.5
95-th percentile508.3
Maximum535
Range534
Interquartile range (IQR)267

Descriptive statistics

Standard deviation154.58547
Coefficient of variation (CV)0.57681144
Kurtosis-1.2
Mean268
Median Absolute Deviation (MAD)134
Skewness0
Sum143380
Variance23896.667
MonotonicityStrictly increasing
2023-12-11T09:09:54.555778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
353 1
 
0.2%
367 1
 
0.2%
366 1
 
0.2%
365 1
 
0.2%
364 1
 
0.2%
363 1
 
0.2%
362 1
 
0.2%
361 1
 
0.2%
360 1
 
0.2%
Other values (525) 525
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
535 1
0.2%
534 1
0.2%
533 1
0.2%
532 1
0.2%
531 1
0.2%
530 1
0.2%
529 1
0.2%
528 1
0.2%
527 1
0.2%
526 1
0.2%

회사명
Text

Distinct508
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T09:09:54.752544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length7.0616822
Min length2

Characters and Unicode

Total characters3778
Distinct characters335
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique483 ?
Unique (%)90.3%

Sample

1st row(유)한국금속
2nd row(주 율곡 사천공장
3rd row(주) 세화 정밀
4th row(주)경남
5th row(주)경신금속
ValueCountFrequency (%)
주식회사 47
 
7.5%
농업회사법인 4
 
0.6%
사천공장 4
 
0.6%
코리아 3
 
0.5%
주)에어로코텍 3
 
0.5%
유한책임회사 3
 
0.5%
2공장 3
 
0.5%
동신금속(주 3
 
0.5%
영농조합법인 3
 
0.5%
두원중공업(주 3
 
0.5%
Other values (518) 550
87.9%
2023-12-11T09:09:55.065549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 298
 
7.9%
) 243
 
6.4%
( 242
 
6.4%
산 120
 
3.2%
업 116
 
3.1%
사 101
 
2.7%
93
 
2.5%
이 88
 
2.3%
식 85
 
2.2%
회 70
 
1.9%
Other values (325) 2322
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3143
83.2%
Close Punctuation 244
 
6.5%
Open Punctuation 243
 
6.4%
Space Separator 93
 
2.5%
Uppercase Letter 38
 
1.0%
Other Punctuation 9
 
0.2%
Decimal Number 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 298
 
9.5%
산 120
 
3.8%
업 116
 
3.7%
사 101
 
3.2%
이 88
 
2.8%
식 85
 
2.7%
회 70
 
2.2%
공 66
 
2.1%
에 59
 
1.9%
스 52
 
1.7%
Other values (299) 2088
66.4%
Uppercase Letter
ValueCountFrequency (%)
G 6
15.8%
C 4
10.5%
S 3
7.9%
E 3
7.9%
H 3
7.9%
T 3
7.9%
M 3
7.9%
N 3
7.9%
F 2
 
5.3%
I 2
 
5.3%
Other values (6) 6
15.8%
Decimal Number
ValueCountFrequency (%)
2 5
62.5%
1 2
 
25.0%
3 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 243
99.6%
] 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 242
99.6%
[ 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
& 2
 
22.2%
Space Separator
ValueCountFrequency (%)
93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3143
83.2%
Common 597
 
15.8%
Latin 38
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 298
 
9.5%
산 120
 
3.8%
업 116
 
3.7%
사 101
 
3.2%
이 88
 
2.8%
식 85
 
2.7%
회 70
 
2.2%
공 66
 
2.1%
에 59
 
1.9%
스 52
 
1.7%
Other values (299) 2088
66.4%
Latin
ValueCountFrequency (%)
G 6
15.8%
C 4
10.5%
S 3
7.9%
E 3
7.9%
H 3
7.9%
T 3
7.9%
M 3
7.9%
N 3
7.9%
F 2
 
5.3%
I 2
 
5.3%
Other values (6) 6
15.8%
Common
ValueCountFrequency (%)
) 243
40.7%
( 242
40.5%
93
 
15.6%
. 7
 
1.2%
2 5
 
0.8%
& 2
 
0.3%
1 2
 
0.3%
] 1
 
0.2%
[ 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3143
83.2%
ASCII 635
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 298
 
9.5%
산 120
 
3.8%
업 116
 
3.7%
사 101
 
3.2%
이 88
 
2.8%
식 85
 
2.7%
회 70
 
2.2%
공 66
 
2.1%
에 59
 
1.9%
스 52
 
1.7%
Other values (299) 2088
66.4%
ASCII
ValueCountFrequency (%)
) 243
38.3%
( 242
38.1%
93
 
14.6%
. 7
 
1.1%
G 6
 
0.9%
2 5
 
0.8%
C 4
 
0.6%
S 3
 
0.5%
E 3
 
0.5%
H 3
 
0.5%
Other values (16) 26
 
4.1%

전화번호
Text

MISSING 

Distinct392
Distinct (%)82.2%
Missing58
Missing (%)10.8%
Memory size4.3 KiB
2023-12-11T09:09:55.303040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.031447
Min length12

Characters and Unicode

Total characters5739
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

Unique321 ?
Unique (%)67.3%

Sample

1st row055-853-9494
2nd row055-275-2911
3rd row055-852-1322
4th row055-854-7800
5th row055-852-7223
ValueCountFrequency (%)
055-852-9695 5
 
1.0%
055-855-2300 4
 
0.8%
055-852-6102 4
 
0.8%
055-854-7657 3
 
0.6%
055-852-1322 3
 
0.6%
055-833-2859 3
 
0.6%
055-853-6996 3
 
0.6%
055-852-4055 3
 
0.6%
055-854-3694 3
 
0.6%
055-263-2730 3
 
0.6%
Other values (382) 443
92.9%
2023-12-11T09:09:55.694199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1528
26.6%
- 954
16.6%
0 831
14.5%
8 613
10.7%
3 398
 
6.9%
2 295
 
5.1%
4 281
 
4.9%
7 248
 
4.3%
9 215
 
3.7%
1 202
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4785
83.4%
Dash Punctuation 954
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1528
31.9%
0 831
17.4%
8 613
12.8%
3 398
 
8.3%
2 295
 
6.2%
4 281
 
5.9%
7 248
 
5.2%
9 215
 
4.5%
1 202
 
4.2%
6 174
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5739
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1528
26.6%
- 954
16.6%
0 831
14.5%
8 613
10.7%
3 398
 
6.9%
2 295
 
5.1%
4 281
 
4.9%
7 248
 
4.3%
9 215
 
3.7%
1 202
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5739
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1528
26.6%
- 954
16.6%
0 831
14.5%
8 613
10.7%
3 398
 
6.9%
2 295
 
5.1%
4 281
 
4.9%
7 248
 
4.3%
9 215
 
3.7%
1 202
 
3.5%

팩스번호
Text

MISSING 

Distinct355
Distinct (%)80.7%
Missing95
Missing (%)17.8%
Memory size4.3 KiB
2023-12-11T09:09:55.947038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.995455
Min length11

Characters and Unicode

Total characters5278
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

Unique287 ?
Unique (%)65.2%

Sample

1st row055-852-7355
2nd row055-275-2921
3rd row055-853-0978
4th row055-854-8300
5th row055-853-2782
ValueCountFrequency (%)
055-834-8356 5
 
1.1%
055-854-1357 4
 
0.9%
055-853-7715 4
 
0.9%
055-855-2306 4
 
0.9%
055-852-6103 4
 
0.9%
055-852-4015 3
 
0.7%
055-852-9397 3
 
0.7%
055-853-0978 3
 
0.7%
055-762-4230 3
 
0.7%
055-854-7565 3
 
0.7%
Other values (345) 404
91.8%
2023-12-11T09:09:56.298107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1459
27.6%
- 878
16.6%
0 670
12.7%
8 582
 
11.0%
3 382
 
7.2%
4 271
 
5.1%
2 268
 
5.1%
9 212
 
4.0%
7 192
 
3.6%
1 188
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4400
83.4%
Dash Punctuation 878
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1459
33.2%
0 670
15.2%
8 582
 
13.2%
3 382
 
8.7%
4 271
 
6.2%
2 268
 
6.1%
9 212
 
4.8%
7 192
 
4.4%
1 188
 
4.3%
6 176
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 878
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5278
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1459
27.6%
- 878
16.6%
0 670
12.7%
8 582
 
11.0%
3 382
 
7.2%
4 271
 
5.1%
2 268
 
5.1%
9 212
 
4.0%
7 192
 
3.6%
1 188
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5278
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1459
27.6%
- 878
16.6%
0 670
12.7%
8 582
 
11.0%
3 382
 
7.2%
4 271
 
5.1%
2 268
 
5.1%
9 212
 
4.0%
7 192
 
3.6%
1 188
 
3.6%

주소
Text

Distinct515
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T09:09:56.543659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length22.878505
Min length16

Characters and Unicode

Total characters12240
Distinct characters194
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

Unique496 ?
Unique (%)92.7%

Sample

1st row경상남도 사천시 사남면 공단1로 23-10, (주)한국금속
2nd row경상남도 사천시 용현면 종포산단1길 33
3rd row경상남도 사천시 사천읍 두량공단로 27 (세화)
4th row경상남도 사천시 축동면 구호리 산 13-1번지 외 22필지
5th row경상남도 사천시 축동면 두량로 102, 배춘리 309
ValueCountFrequency (%)
경상남도 535
19.5%
사천시 535
19.5%
사남면 118
 
4.3%
축동면 111
 
4.0%
사천읍 67
 
2.4%
공단1로 36
 
1.3%
서삼로 30
 
1.1%
송포동 30
 
1.1%
향촌동 29
 
1.1%
용현면 27
 
1.0%
Other values (634) 1228
44.7%
2023-12-11T09:09:56.948474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2317
18.9%
사 743
 
6.1%
남 664
 
5.4%
천 632
 
5.2%
상 547
 
4.5%
경 541
 
4.4%
도 538
 
4.4%
시 536
 
4.4%
1 391
 
3.2%
면 322
 
2.6%
Other values (184) 5009
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7455
60.9%
Space Separator 2317
 
18.9%
Decimal Number 1864
 
15.2%
Dash Punctuation 220
 
1.8%
Close Punctuation 172
 
1.4%
Open Punctuation 172
 
1.4%
Other Punctuation 35
 
0.3%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 743
 
10.0%
남 664
 
8.9%
천 632
 
8.5%
상 547
 
7.3%
경 541
 
7.3%
도 538
 
7.2%
시 536
 
7.2%
면 322
 
4.3%
동 308
 
4.1%
로 247
 
3.3%
Other values (163) 2377
31.9%
Decimal Number
ValueCountFrequency (%)
1 391
21.0%
2 266
14.3%
3 219
11.7%
4 198
10.6%
5 173
9.3%
6 155
 
8.3%
7 135
 
7.2%
0 125
 
6.7%
9 107
 
5.7%
8 95
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
20.0%
M 1
20.0%
F 1
20.0%
B 1
20.0%
L 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 33
94.3%
. 2
 
5.7%
Space Separator
ValueCountFrequency (%)
2317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7455
60.9%
Common 4780
39.1%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 743
 
10.0%
남 664
 
8.9%
천 632
 
8.5%
상 547
 
7.3%
경 541
 
7.3%
도 538
 
7.2%
시 536
 
7.2%
면 322
 
4.3%
동 308
 
4.1%
로 247
 
3.3%
Other values (163) 2377
31.9%
Common
ValueCountFrequency (%)
2317
48.5%
1 391
 
8.2%
2 266
 
5.6%
- 220
 
4.6%
3 219
 
4.6%
4 198
 
4.1%
5 173
 
3.6%
) 172
 
3.6%
( 172
 
3.6%
6 155
 
3.2%
Other values (6) 497
 
10.4%
Latin
ValueCountFrequency (%)
G 1
20.0%
M 1
20.0%
F 1
20.0%
B 1
20.0%
L 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7455
60.9%
ASCII 4785
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2317
48.4%
1 391
 
8.2%
2 266
 
5.6%
- 220
 
4.6%
3 219
 
4.6%
4 198
 
4.1%
5 173
 
3.6%
) 172
 
3.6%
( 172
 
3.6%
6 155
 
3.2%
Other values (11) 502
 
10.5%
Hangul
ValueCountFrequency (%)
사 743
 
10.0%
남 664
 
8.9%
천 632
 
8.5%
상 547
 
7.3%
경 541
 
7.3%
도 538
 
7.2%
시 536
 
7.2%
면 322
 
4.3%
동 308
 
4.1%
로 247
 
3.3%
Other values (163) 2377
31.9%

업종명
Text

MISSING 

Distinct202
Distinct (%)38.2%
Missing6
Missing (%)1.1%
Memory size4.3 KiB
2023-12-11T09:09:57.206445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length17.037807
Min length6

Characters and Unicode

Total characters9013
Distinct characters220
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

Unique125 ?
Unique (%)23.6%

Sample

1st row자동차용 신품 동력전달장치 제조업 외 2 종
2nd row항공기용 부품 제조업 외 1 종
3rd row건설 및 채광용 기계장비 제조업
4th row레미콘 제조업 외 2 종
5th row타이어 및 튜브 제조업
ValueCountFrequency (%)
제조업 424
 
14.5%
외 250
 
8.5%
및 244
 
8.3%
종 213
 
7.3%
1 101
 
3.5%
수산동물 98
 
3.3%
부품 93
 
3.2%
기타 90
 
3.1%
항공기용 65
 
2.2%
가공 42
 
1.4%
Other values (261) 1306
44.6%
2023-12-11T09:09:57.888748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2397
26.6%
업 598
 
6.6%
조 567
 
6.3%
제 504
 
5.6%
품 268
 
3.0%
기 262
 
2.9%
외 252
 
2.8%
및 244
 
2.7%
종 214
 
2.4%
용 191
 
2.1%
Other values (210) 3516
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6352
70.5%
Space Separator 2397
 
26.6%
Decimal Number 219
 
2.4%
Other Punctuation 41
 
0.5%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 598
 
9.4%
조 567
 
8.9%
제 504
 
7.9%
품 268
 
4.2%
기 262
 
4.1%
외 252
 
4.0%
및 244
 
3.8%
종 214
 
3.4%
용 191
 
3.0%
동 181
 
2.8%
Other values (198) 3071
48.3%
Decimal Number
ValueCountFrequency (%)
1 106
48.4%
2 41
 
18.7%
3 31
 
14.2%
4 22
 
10.0%
5 8
 
3.7%
7 5
 
2.3%
6 5
 
2.3%
8 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2397
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6352
70.5%
Common 2661
29.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 598
 
9.4%
조 567
 
8.9%
제 504
 
7.9%
품 268
 
4.2%
기 262
 
4.1%
외 252
 
4.0%
및 244
 
3.8%
종 214
 
3.4%
용 191
 
3.0%
동 181
 
2.8%
Other values (198) 3071
48.3%
Common
ValueCountFrequency (%)
2397
90.1%
1 106
 
4.0%
2 41
 
1.5%
, 41
 
1.5%
3 31
 
1.2%
4 22
 
0.8%
5 8
 
0.3%
7 5
 
0.2%
6 5
 
0.2%
( 2
 
0.1%
Other values (2) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6351
70.5%
ASCII 2661
29.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2397
90.1%
1 106
 
4.0%
2 41
 
1.5%
, 41
 
1.5%
3 31
 
1.2%
4 22
 
0.8%
5 8
 
0.3%
7 5
 
0.2%
6 5
 
0.2%
( 2
 
0.1%
Other values (2) 3
 
0.1%
Hangul
ValueCountFrequency (%)
업 598
 
9.4%
조 567
 
8.9%
제 504
 
7.9%
품 268
 
4.2%
기 262
 
4.1%
외 252
 
4.0%
및 244
 
3.8%
종 214
 
3.4%
용 191
 
3.0%
동 181
 
2.8%
Other values (197) 3070
48.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

생산품
Text

Distinct470
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-11T09:09:58.137390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length9.2672897
Min length1

Characters and Unicode

Total characters4958
Distinct characters444
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique444 ?
Unique (%)83.0%

Sample

1st row자동차부품(기어,샤프트)
2nd row항공기부품
3rd row링크
4th row레미콘
5th row타이어부품
ValueCountFrequency (%)
부품 36
 
3.7%
및 30
 
3.1%
항공기부품 17
 
1.8%
등 14
 
1.5%
자동차 14
 
1.5%
오징어 13
 
1.3%
항공기 11
 
1.1%
농기계부품 11
 
1.1%
항공기용 10
 
1.0%
자동차부품 9
 
0.9%
Other values (651) 799
82.9%
2023-12-11T09:09:58.576876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
433
 
8.7%
, 281
 
5.7%
품 216
 
4.4%
기 195
 
3.9%
부 164
 
3.3%
공 114
 
2.3%
어 94
 
1.9%
조 86
 
1.7%
장 76
 
1.5%
동 73
 
1.5%
Other values (434) 3226
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3967
80.0%
Space Separator 433
 
8.7%
Other Punctuation 291
 
5.9%
Uppercase Letter 111
 
2.2%
Lowercase Letter 48
 
1.0%
Close Punctuation 43
 
0.9%
Open Punctuation 43
 
0.9%
Decimal Number 21
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 216
 
5.4%
기 195
 
4.9%
부 164
 
4.1%
공 114
 
2.9%
어 94
 
2.4%
조 86
 
2.2%
장 76
 
1.9%
동 73
 
1.8%
용 64
 
1.6%
항 63
 
1.6%
Other values (379) 2822
71.1%
Uppercase Letter
ValueCountFrequency (%)
S 11
 
9.9%
P 11
 
9.9%
A 9
 
8.1%
C 9
 
8.1%
T 7
 
6.3%
E 7
 
6.3%
R 7
 
6.3%
H 6
 
5.4%
F 5
 
4.5%
L 5
 
4.5%
Other values (12) 34
30.6%
Lowercase Letter
ValueCountFrequency (%)
e 7
14.6%
t 6
12.5%
r 5
10.4%
i 5
10.4%
g 4
8.3%
n 4
8.3%
o 3
6.2%
u 3
6.2%
f 2
 
4.2%
k 2
 
4.2%
Other values (6) 7
14.6%
Decimal Number
ValueCountFrequency (%)
7 7
33.3%
2 3
14.3%
5 3
14.3%
3 3
14.3%
0 2
 
9.5%
1 1
 
4.8%
4 1
 
4.8%
8 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 281
96.6%
. 5
 
1.7%
/ 3
 
1.0%
: 1
 
0.3%
· 1
 
0.3%
Space Separator
ValueCountFrequency (%)
433
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3967
80.0%
Common 832
 
16.8%
Latin 159
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 216
 
5.4%
기 195
 
4.9%
부 164
 
4.1%
공 114
 
2.9%
어 94
 
2.4%
조 86
 
2.2%
장 76
 
1.9%
동 73
 
1.8%
용 64
 
1.6%
항 63
 
1.6%
Other values (379) 2822
71.1%
Latin
ValueCountFrequency (%)
S 11
 
6.9%
P 11
 
6.9%
A 9
 
5.7%
C 9
 
5.7%
T 7
 
4.4%
E 7
 
4.4%
R 7
 
4.4%
e 7
 
4.4%
t 6
 
3.8%
H 6
 
3.8%
Other values (28) 79
49.7%
Common
ValueCountFrequency (%)
433
52.0%
, 281
33.8%
) 43
 
5.2%
( 43
 
5.2%
7 7
 
0.8%
. 5
 
0.6%
2 3
 
0.4%
5 3
 
0.4%
/ 3
 
0.4%
3 3
 
0.4%
Other values (7) 8
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3967
80.0%
ASCII 990
 
20.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
433
43.7%
, 281
28.4%
) 43
 
4.3%
( 43
 
4.3%
S 11
 
1.1%
P 11
 
1.1%
A 9
 
0.9%
C 9
 
0.9%
T 7
 
0.7%
E 7
 
0.7%
Other values (44) 136
 
13.7%
Hangul
ValueCountFrequency (%)
품 216
 
5.4%
기 195
 
4.9%
부 164
 
4.1%
공 114
 
2.9%
어 94
 
2.4%
조 86
 
2.2%
장 76
 
1.9%
동 73
 
1.8%
용 64
 
1.6%
항 63
 
1.6%
Other values (379) 2822
71.1%
None
ValueCountFrequency (%)
· 1
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2023-06-01 00:00:00
Maximum2023-06-01 00:00:00
2023-12-11T09:09:58.695269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:09:58.785722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:09:53.980302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T09:09:54.089651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:09:54.218168image/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.
2023-12-11T09:09:54.321359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번회사명전화번호팩스번호주소업종명생산품데이터기준일자
01(유)한국금속055-853-9494055-852-7355경상남도 사천시 사남면 공단1로 23-10, (주)한국금속자동차용 신품 동력전달장치 제조업 외 2 종자동차부품(기어,샤프트)2023-06-01
12(주 율곡 사천공장055-275-2911055-275-2921경상남도 사천시 용현면 종포산단1길 33항공기용 부품 제조업 외 1 종항공기부품2023-06-01
23(주) 세화 정밀055-852-1322055-853-0978경상남도 사천시 사천읍 두량공단로 27 (세화)건설 및 채광용 기계장비 제조업링크2023-06-01
34(주)경남055-854-7800055-854-8300경상남도 사천시 축동면 구호리 산 13-1번지 외 22필지레미콘 제조업 외 2 종레미콘2023-06-01
45(주)경신금속055-852-7223055-853-2782경상남도 사천시 축동면 두량로 102, 배춘리 309타이어 및 튜브 제조업타이어부품2023-06-01
56(주)고센산업055-855-1383055-855-1385경상남도 사천시 곤양면 흥신로 51-10기타 목재가구 제조업가정용가구,사무기기2023-06-01
67(주)금선수산055-832-3216055-832-6829경상남도 사천시 유람선길 42-40 (대방동)수산동물 냉동품 제조업어패류가공2023-06-01
78(주)금화중공업055-835-7008055-835-9008경상남도 사천시 대방길 68 (대방동, 금양수산(주)) 외 2필지선박 구성 부분품 제조업선박구성부분품2023-06-01
89(주)길보사료산업055-834-3030055-834-3033경상남도 사천시 거북등길 48-11 (송포동, 길보(주)) 외 1필지배합 사료 제조업 외 1 종어분,여유 사료2023-06-01
910(주)낙우산업 사천055-855-5200055-855-5201경상남도 사천시 사남면 유천리 896 번지자동차용 신품 동력전달장치 제조업 외 3 종기어류, 항공기치공구 및 부품2023-06-01
연번회사명전화번호팩스번호주소업종명생산품데이터기준일자
525526호암산업055-851-8777055-851-8700경상남도 사천시 사남면 해안산업로 513전동기 및 발전기 제조업 외 4 종자동차 차체용 부품, 방산품조립2023-06-01
526527호암정공055-853-9696055-853-9697경상남도 사천시 사남면 유천리 892-1기타 건축용 플라스틱 조립제품 제조업해상기부품,중장비유압부품, 액체펌프2023-06-01
527528호현055-852-4055055-852-4015경상남도 사천시 사남면 방지로 96항공기용 부품 제조업수산물 건조식품(건조오징어)2023-06-01
528529화랑케미칼055-853-5081055-853-5086경상남도 사천시 사남면 외국기업로 158비금속광물 분쇄물 생산업 외 2 종비닐봉투2023-06-01
529530화영수산055-584-0404055-584-0550경상남도 사천시 사남면 공단2로 220육상 금속 골조 구조재 제조업홍합,바지락2023-06-01
530531화창식품(주)055-855-4130055-8544140경상남도 사천시 사남면 외국기업로 152-44항공기용 부품 제조업엑기스(다시마,새우,반지락),혼합조미료2023-06-01
531532화평산업 주식회사055-853-8800055-853-8801경상남도 사천시 사남면 방지리 675항공기용 부품 제조업콘크리트제품2023-06-01
532533효성섬유055-851-5515055-851-5500경상남도 사천시 사남면 외국기업로 82그 외 기타 전자부품 제조업 외 1 종실크2023-06-01
533534흙사랑 영농조합법인055-851-0100055-851-0117경상남도 사천시 사남면 외국기업로 152-52기타 인쇄업 외 1 종미생물 배양액, 생균제(사료첨가제)2023-06-01
534535희망철강055-851-1000055-851-1004경상남도 사천시 사남면 공단1로 78유인항공기, 항공우주선 및 보조장치 제조업 외 3종파형강관 등2023-06-01