Overview

Dataset statistics

Number of variables8
Number of observations536
Missing cells142
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.2 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://www.data.go.kr/data/15034992/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 63 (11.8%) missing valuesMissing
팩스번호 has 78 (14.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:38:49.073746
Analysis finished2023-12-12 04:38:50.453363
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct536
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.5
Minimum1
Maximum536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-12-12T13:38:50.564654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.75
Q1134.75
median268.5
Q3402.25
95-th percentile509.25
Maximum536
Range535
Interquartile range (IQR)267.5

Descriptive statistics

Standard deviation154.87414
Coefficient of variation (CV)0.57681245
Kurtosis-1.2
Mean268.5
Median Absolute Deviation (MAD)134
Skewness0
Sum143916
Variance23986
MonotonicityStrictly increasing
2023-12-12T13:38:50.749771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
354 1
 
0.2%
368 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%
Other values (526) 526
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 (%)
536 1
0.2%
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%

회사명
Text

Distinct509
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T13:38:51.030708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length7.1268657
Min length2

Characters and Unicode

Total characters3820
Distinct characters338
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

Unique484 ?
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)경남전기건설
ValueCountFrequency (%)
주식회사 52
 
8.2%
사천공장 4
 
0.6%
농업회사법인 4
 
0.6%
한국항공우주산업(주 3
 
0.5%
유한책임회사 3
 
0.5%
코리아 3
 
0.5%
동신금속(주 3
 
0.5%
주)에어로코텍 3
 
0.5%
두원중공업(주 3
 
0.5%
영농조합법인 3
 
0.5%
Other values (522) 554
87.2%
2023-12-12T13:38:51.479303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 308
 
8.1%
) 245
 
6.4%
( 244
 
6.4%
산 118
 
3.1%
업 116
 
3.0%
사 111
 
2.9%
101
 
2.6%
식 92
 
2.4%
이 86
 
2.3%
회 79
 
2.1%
Other values (328) 2320
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3176
83.1%
Close Punctuation 246
 
6.4%
Open Punctuation 245
 
6.4%
Space Separator 101
 
2.6%
Uppercase Letter 36
 
0.9%
Other Punctuation 8
 
0.2%
Decimal Number 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 308
 
9.7%
산 118
 
3.7%
업 116
 
3.7%
사 111
 
3.5%
식 92
 
2.9%
이 86
 
2.7%
회 79
 
2.5%
공 66
 
2.1%
에 57
 
1.8%
동 51
 
1.6%
Other values (302) 2092
65.9%
Uppercase Letter
ValueCountFrequency (%)
G 6
16.7%
C 4
11.1%
H 3
8.3%
S 3
8.3%
E 3
8.3%
N 3
8.3%
F 2
 
5.6%
M 2
 
5.6%
T 2
 
5.6%
I 2
 
5.6%
Other values (6) 6
16.7%
Decimal Number
ValueCountFrequency (%)
2 5
62.5%
1 2
 
25.0%
3 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 245
99.6%
] 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 244
99.6%
[ 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3176
83.1%
Common 608
 
15.9%
Latin 36
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 308
 
9.7%
산 118
 
3.7%
업 116
 
3.7%
사 111
 
3.5%
식 92
 
2.9%
이 86
 
2.7%
회 79
 
2.5%
공 66
 
2.1%
에 57
 
1.8%
동 51
 
1.6%
Other values (302) 2092
65.9%
Latin
ValueCountFrequency (%)
G 6
16.7%
C 4
11.1%
H 3
8.3%
S 3
8.3%
E 3
8.3%
N 3
8.3%
F 2
 
5.6%
M 2
 
5.6%
T 2
 
5.6%
I 2
 
5.6%
Other values (6) 6
16.7%
Common
ValueCountFrequency (%)
) 245
40.3%
( 244
40.1%
101
16.6%
. 7
 
1.2%
2 5
 
0.8%
1 2
 
0.3%
] 1
 
0.2%
[ 1
 
0.2%
3 1
 
0.2%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3176
83.1%
ASCII 644
 
16.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 308
 
9.7%
산 118
 
3.7%
업 116
 
3.7%
사 111
 
3.5%
식 92
 
2.9%
이 86
 
2.7%
회 79
 
2.5%
공 66
 
2.1%
에 57
 
1.8%
동 51
 
1.6%
Other values (302) 2092
65.9%
ASCII
ValueCountFrequency (%)
) 245
38.0%
( 244
37.9%
101
15.7%
. 7
 
1.1%
G 6
 
0.9%
2 5
 
0.8%
C 4
 
0.6%
H 3
 
0.5%
S 3
 
0.5%
E 3
 
0.5%
Other values (16) 23
 
3.6%

전화번호
Text

MISSING 

Distinct425
Distinct (%)89.9%
Missing63
Missing (%)11.8%
Memory size4.3 KiB
2023-12-12T13:38:51.793570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.031712
Min length11

Characters and Unicode

Total characters5691
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

Unique380 ?
Unique (%)80.3%

Sample

1st row055-853-9494
2nd row055-275-2911
3rd row055-852-1322
4th row055-854-7800
5th row055-855-0046
ValueCountFrequency (%)
055-852-1322 3
 
0.6%
055-854-7657 3
 
0.6%
055-852-9695 3
 
0.6%
055-853-1234 2
 
0.4%
055-855-2300 2
 
0.4%
070-7495-6760 2
 
0.4%
055-855-0663 2
 
0.4%
055-854-5720 2
 
0.4%
055-833-0109 2
 
0.4%
055-830-3800 2
 
0.4%
Other values (415) 450
95.1%
2023-12-12T13:38:52.232426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1519
26.7%
- 946
16.6%
0 803
14.1%
8 623
10.9%
3 408
 
7.2%
2 310
 
5.4%
4 289
 
5.1%
7 237
 
4.2%
1 198
 
3.5%
9 190
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4745
83.4%
Dash Punctuation 946
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1519
32.0%
0 803
16.9%
8 623
13.1%
3 408
 
8.6%
2 310
 
6.5%
4 289
 
6.1%
7 237
 
5.0%
1 198
 
4.2%
9 190
 
4.0%
6 168
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 946
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5691
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1519
26.7%
- 946
16.6%
0 803
14.1%
8 623
10.9%
3 408
 
7.2%
2 310
 
5.4%
4 289
 
5.1%
7 237
 
4.2%
1 198
 
3.5%
9 190
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5691
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1519
26.7%
- 946
16.6%
0 803
14.1%
8 623
10.9%
3 408
 
7.2%
2 310
 
5.4%
4 289
 
5.1%
7 237
 
4.2%
1 198
 
3.5%
9 190
 
3.3%

팩스번호
Text

MISSING 

Distinct407
Distinct (%)88.9%
Missing78
Missing (%)14.6%
Memory size4.3 KiB
2023-12-12T13:38:52.498123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052402
Min length11

Characters and Unicode

Total characters5520
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

Unique364 ?
Unique (%)79.5%

Sample

1st row055-852-7355
2nd row055-275-2921
3rd row055-853-0978
4th row055-854-8300
5th row055-855-0546
ValueCountFrequency (%)
055-834-8356 4
 
0.9%
055-853-0978 3
 
0.7%
055-851-2011 3
 
0.7%
055-834-5689 3
 
0.7%
055-854-7565 3
 
0.7%
055-851-1004 3
 
0.7%
055-854-1357 3
 
0.7%
055-854-8775 2
 
0.4%
055-855-0578 2
 
0.4%
055-852-9397 2
 
0.4%
Other values (397) 430
93.9%
2023-12-12T13:38:52.886784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1496
27.1%
- 916
16.6%
0 718
13.0%
8 628
11.4%
3 416
 
7.5%
4 295
 
5.3%
2 274
 
5.0%
9 213
 
3.9%
7 204
 
3.7%
1 190
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4604
83.4%
Dash Punctuation 916
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1496
32.5%
0 718
15.6%
8 628
13.6%
3 416
 
9.0%
4 295
 
6.4%
2 274
 
6.0%
9 213
 
4.6%
7 204
 
4.4%
1 190
 
4.1%
6 170
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 916
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5520
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1496
27.1%
- 916
16.6%
0 718
13.0%
8 628
11.4%
3 416
 
7.5%
4 295
 
5.3%
2 274
 
5.0%
9 213
 
3.9%
7 204
 
3.7%
1 190
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1496
27.1%
- 916
16.6%
0 718
13.0%
8 628
11.4%
3 416
 
7.5%
4 295
 
5.3%
2 274
 
5.0%
9 213
 
3.9%
7 204
 
3.7%
1 190
 
3.4%

주소
Text

Distinct517
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T13:38:53.086001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length24.272388
Min length17

Characters and Unicode

Total characters13010
Distinct characters190
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

Unique500 ?
Unique (%)93.3%

Sample

1st row경상남도 사천시 사남면 월성리 410번지 (주)한국금속
2nd row경상남도 사천시 용현면 신촌리 588-2
3rd row경상남도 사천시 사천읍 두량리 1674번지
4th row경상남도 사천시 축동면 구호리 산 13-1번지 외 22필지
5th row경상남도 사천시 용현면 온정리 165-19
ValueCountFrequency (%)
경상남도 536
18.7%
사천시 536
18.7%
사남면 120
 
4.2%
외 113
 
3.9%
축동면 107
 
3.7%
사천읍 70
 
2.4%
1필지 68
 
2.4%
두량리 45
 
1.6%
방지리 36
 
1.3%
탑리 35
 
1.2%
Other values (666) 1205
42.0%
2023-12-12T13:38:53.437943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2342
18.0%
사 765
 
5.9%
남 659
 
5.1%
천 646
 
5.0%
지 602
 
4.6%
1 546
 
4.2%
경 540
 
4.2%
시 537
 
4.1%
상 536
 
4.1%
도 536
 
4.1%
Other values (180) 5301
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8047
61.9%
Space Separator 2342
 
18.0%
Decimal Number 2224
 
17.1%
Dash Punctuation 329
 
2.5%
Open Punctuation 26
 
0.2%
Close Punctuation 26
 
0.2%
Uppercase Letter 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 765
 
9.5%
남 659
 
8.2%
천 646
 
8.0%
지 602
 
7.5%
경 540
 
6.7%
시 537
 
6.7%
상 536
 
6.7%
도 536
 
6.7%
번 444
 
5.5%
리 409
 
5.1%
Other values (155) 2373
29.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
18.8%
P 2
12.5%
N 2
12.5%
O 2
12.5%
U 1
 
6.2%
I 1
 
6.2%
B 1
 
6.2%
L 1
 
6.2%
A 1
 
6.2%
M 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 546
24.6%
2 240
10.8%
3 228
10.3%
4 212
 
9.5%
5 201
 
9.0%
6 195
 
8.8%
7 172
 
7.7%
8 167
 
7.5%
0 140
 
6.3%
9 123
 
5.5%
Space Separator
ValueCountFrequency (%)
2342
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8047
61.9%
Common 4947
38.0%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 765
 
9.5%
남 659
 
8.2%
천 646
 
8.0%
지 602
 
7.5%
경 540
 
6.7%
시 537
 
6.7%
상 536
 
6.7%
도 536
 
6.7%
번 444
 
5.5%
리 409
 
5.1%
Other values (155) 2373
29.5%
Common
ValueCountFrequency (%)
2342
47.3%
1 546
 
11.0%
- 329
 
6.7%
2 240
 
4.9%
3 228
 
4.6%
4 212
 
4.3%
5 201
 
4.1%
6 195
 
3.9%
7 172
 
3.5%
8 167
 
3.4%
Other values (4) 315
 
6.4%
Latin
ValueCountFrequency (%)
S 3
18.8%
P 2
12.5%
N 2
12.5%
O 2
12.5%
U 1
 
6.2%
I 1
 
6.2%
B 1
 
6.2%
L 1
 
6.2%
A 1
 
6.2%
M 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8047
61.9%
ASCII 4963
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2342
47.2%
1 546
 
11.0%
- 329
 
6.6%
2 240
 
4.8%
3 228
 
4.6%
4 212
 
4.3%
5 201
 
4.0%
6 195
 
3.9%
7 172
 
3.5%
8 167
 
3.4%
Other values (15) 331
 
6.7%
Hangul
ValueCountFrequency (%)
사 765
 
9.5%
남 659
 
8.2%
천 646
 
8.0%
지 602
 
7.5%
경 540
 
6.7%
시 537
 
6.7%
상 536
 
6.7%
도 536
 
6.7%
번 444
 
5.5%
리 409
 
5.1%
Other values (155) 2373
29.5%

업종명
Text

Distinct212
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T13:38:53.994145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length17.039179
Min length6

Characters and Unicode

Total characters9133
Distinct characters225
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)24.6%

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 row배전반 및 전기 자동제어반 제조업 외 2 종
ValueCountFrequency (%)
제조업 429
 
14.5%
및 255
 
8.6%
외 239
 
8.1%
종 204
 
6.9%
수산동물 103
 
3.5%
기타 99
 
3.4%
1 91
 
3.1%
부품 83
 
2.8%
항공기용 56
 
1.9%
2 45
 
1.5%
Other values (271) 1350
45.7%
2023-12-12T13:38:54.476281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2459
26.9%
업 606
 
6.6%
조 580
 
6.4%
제 512
 
5.6%
기 268
 
2.9%
품 264
 
2.9%
및 255
 
2.8%
외 241
 
2.6%
종 205
 
2.2%
동 187
 
2.0%
Other values (215) 3556
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6459
70.7%
Space Separator 2459
 
26.9%
Decimal Number 211
 
2.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 606
 
9.4%
조 580
 
9.0%
제 512
 
7.9%
기 268
 
4.1%
품 264
 
4.1%
및 255
 
3.9%
외 241
 
3.7%
종 205
 
3.2%
동 187
 
2.9%
용 180
 
2.8%
Other values (204) 3161
48.9%
Decimal Number
ValueCountFrequency (%)
1 97
46.0%
2 47
22.3%
3 25
 
11.8%
4 23
 
10.9%
5 8
 
3.8%
7 6
 
2.8%
6 4
 
1.9%
8 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2459
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6459
70.7%
Common 2674
29.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 606
 
9.4%
조 580
 
9.0%
제 512
 
7.9%
기 268
 
4.1%
품 264
 
4.1%
및 255
 
3.9%
외 241
 
3.7%
종 205
 
3.2%
동 187
 
2.9%
용 180
 
2.8%
Other values (204) 3161
48.9%
Common
ValueCountFrequency (%)
2459
92.0%
1 97
 
3.6%
2 47
 
1.8%
3 25
 
0.9%
4 23
 
0.9%
5 8
 
0.3%
7 6
 
0.2%
6 4
 
0.1%
( 2
 
0.1%
) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6456
70.7%
ASCII 2674
29.3%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2459
92.0%
1 97
 
3.6%
2 47
 
1.8%
3 25
 
0.9%
4 23
 
0.9%
5 8
 
0.3%
7 6
 
0.2%
6 4
 
0.1%
( 2
 
0.1%
) 2
 
0.1%
Hangul
ValueCountFrequency (%)
업 606
 
9.4%
조 580
 
9.0%
제 512
 
7.9%
기 268
 
4.2%
품 264
 
4.1%
및 255
 
3.9%
외 241
 
3.7%
종 205
 
3.2%
동 187
 
2.9%
용 180
 
2.8%
Other values (203) 3158
48.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

생산품
Text

Distinct472
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T13:38:54.829710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length32
Mean length9.4720149
Min length1

Characters and Unicode

Total characters5077
Distinct characters446
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

Unique445 ?
Unique (%)83.0%

Sample

1st row자동차부품(기어 샤프트)
2nd row항공기부품
3rd row링크
4th row레미콘
5th row배전반 및 전기자동제어반 에너지저장장치
ValueCountFrequency (%)
부품 38
 
3.4%
및 31
 
2.8%
자동차 18
 
1.6%
오징어 16
 
1.4%
농기계부품 16
 
1.4%
항공기부품 16
 
1.4%
항공기 15
 
1.4%
등 15
 
1.4%
쥐포 15
 
1.4%
자동차부품 13
 
1.2%
Other values (692) 911
82.5%
2023-12-12T13:38:55.366805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
733
 
14.4%
품 216
 
4.3%
기 208
 
4.1%
부 161
 
3.2%
공 115
 
2.3%
어 99
 
1.9%
조 86
 
1.7%
장 84
 
1.7%
동 77
 
1.5%
치 65
 
1.3%
Other values (436) 3233
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4080
80.4%
Space Separator 733
 
14.4%
Uppercase Letter 105
 
2.1%
Lowercase Letter 48
 
0.9%
Open Punctuation 43
 
0.8%
Close Punctuation 43
 
0.8%
Decimal Number 13
 
0.3%
Other Punctuation 11
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 216
 
5.3%
기 208
 
5.1%
부 161
 
3.9%
공 115
 
2.8%
어 99
 
2.4%
조 86
 
2.1%
장 84
 
2.1%
동 77
 
1.9%
치 65
 
1.6%
용 64
 
1.6%
Other values (385) 2905
71.2%
Uppercase Letter
ValueCountFrequency (%)
S 11
 
10.5%
P 11
 
10.5%
C 9
 
8.6%
A 8
 
7.6%
E 7
 
6.7%
R 7
 
6.7%
T 6
 
5.7%
F 5
 
4.8%
H 5
 
4.8%
L 5
 
4.8%
Other values (11) 31
29.5%
Lowercase Letter
ValueCountFrequency (%)
e 7
14.6%
t 6
12.5%
i 5
10.4%
r 5
10.4%
n 4
8.3%
g 4
8.3%
o 3
6.2%
u 3
6.2%
k 2
 
4.2%
f 2
 
4.2%
Other values (6) 7
14.6%
Decimal Number
ValueCountFrequency (%)
7 5
38.5%
2 3
23.1%
3 2
 
15.4%
4 1
 
7.7%
1 1
 
7.7%
5 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
/ 3
27.3%
· 1
 
9.1%
: 1
 
9.1%
Space Separator
ValueCountFrequency (%)
733
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4080
80.4%
Common 844
 
16.6%
Latin 153
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 216
 
5.3%
기 208
 
5.1%
부 161
 
3.9%
공 115
 
2.8%
어 99
 
2.4%
조 86
 
2.1%
장 84
 
2.1%
동 77
 
1.9%
치 65
 
1.6%
용 64
 
1.6%
Other values (385) 2905
71.2%
Latin
ValueCountFrequency (%)
S 11
 
7.2%
P 11
 
7.2%
C 9
 
5.9%
A 8
 
5.2%
E 7
 
4.6%
R 7
 
4.6%
e 7
 
4.6%
T 6
 
3.9%
t 6
 
3.9%
i 5
 
3.3%
Other values (27) 76
49.7%
Common
ValueCountFrequency (%)
733
86.8%
( 43
 
5.1%
) 43
 
5.1%
. 6
 
0.7%
7 5
 
0.6%
/ 3
 
0.4%
2 3
 
0.4%
3 2
 
0.2%
4 1
 
0.1%
· 1
 
0.1%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4080
80.4%
ASCII 996
 
19.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
733
73.6%
( 43
 
4.3%
) 43
 
4.3%
S 11
 
1.1%
P 11
 
1.1%
C 9
 
0.9%
A 8
 
0.8%
E 7
 
0.7%
R 7
 
0.7%
e 7
 
0.7%
Other values (40) 117
 
11.7%
Hangul
ValueCountFrequency (%)
품 216
 
5.3%
기 208
 
5.1%
부 161
 
3.9%
공 115
 
2.8%
어 99
 
2.4%
조 86
 
2.1%
장 84
 
2.1%
동 77
 
1.9%
치 65
 
1.6%
용 64
 
1.6%
Other values (385) 2905
71.2%
None
ValueCountFrequency (%)
· 1
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size4.3 KiB
Minimum2023-10-31 00:00:00
Maximum2023-10-31 00:00:00
2023-12-12T13:38:55.557365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:38:55.674155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:38:49.871726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T13:38:50.045409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:38:50.230330image/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.
2023-12-12T13:38:50.375881image/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 월성리 410번지 (주)한국금속자동차용 신품 동력전달장치 제조업 외 2 종자동차부품(기어 샤프트)2023-10-31
12(주 율곡 사천공장055-275-2911055-275-2921경상남도 사천시 용현면 신촌리 588-2항공기용 부품 제조업 외 1 종항공기부품2023-10-31
23(주) 세화 정밀055-852-1322055-853-0978경상남도 사천시 사천읍 두량리 1674번지건설 및 채광용 기계장비 제조업링크2023-10-31
34(주)경남055-854-7800055-854-8300경상남도 사천시 축동면 구호리 산 13-1번지 외 22필지레미콘 제조업 외 2 종레미콘2023-10-31
45(주)경남전기건설055-855-0046055-855-0546경상남도 사천시 용현면 온정리 165-19배전반 및 전기 자동제어반 제조업 외 2 종배전반 및 전기자동제어반 에너지저장장치2023-10-31
56(주)경신금속055-852-7223055-853-2782경상남도 사천시 축동면 배춘리 309번지 배춘리 309타이어 및 튜브 제조업타이어부품2023-10-31
67(주)고센산업055-855-1383055-855-1385경상남도 사천시 곤양면 흥사리 41-7번지기타 목재가구 제조업가정용가구 사무기기2023-10-31
78(주)금선수산055-832-3216055-832-6829경상남도 사천시 대방동 765-5번지수산동물 냉동품 제조업어패류가공2023-10-31
89(주)금화중공업055-835-7008055-835-9008경상남도 사천시 대방동 238-13번지 외 2필지선박 구성 부분품 제조업선박구성부분품2023-10-31
910(주)길보사료산업055-834-3030055-834-3033경상남도 사천시 송포동 1065-2번지 외 1필지배합 사료 제조업 외 1 종어분 여유 사료2023-10-31
연번회사명전화번호팩스번호주소업종명생산품데이터기준일자
526527혜성정밀055-854-1559055-853-1590경상남도 사천시 축동면 배춘리 44-3번지농업 및 임업용 기계 제조업 외 1 종농업용기계부품 자동차부품2023-10-31
527528호암산업055-854-2911055-854-2912경상남도 사천시 축동면 구호리 254-1번지자동차 차체용 신품 부품 제조업 외 2종자동차 차체용 부품 방산품조립2023-10-31
528529호암정공<NA>055-855-4098경상남도 사천시 축동면 탑리 153번지 (호암정공)절삭가공 및 유사처리업 외 1 종해상기부품 중장비유압부품 액체펌프2023-10-31
529530호현<NA><NA>경상남도 사천시 서포면 자혜리 1256-2번지 외 1필지수산동물 건조 및 염장품 제조업수산물 건조식품(건조오징어)2023-10-31
530531화랑케미칼<NA>055-854-1799경상남도 사천시 정동면 학촌리 185-4번지 (정동면 학촌리 185-4) 외 1필지플라스틱 포대 봉투 및 유사제품 제조업비닐봉투2023-10-31
531532화영수산055-832-9555055-832-9556경상남도 사천시 향촌동 1319번지수산동물 건조 및 염장품 제조업 외 2 종홍합 바지락2023-10-31
532533화창식품(주)055-833-8565055-833-8575경상남도 사천시 대방동 205-16번지 외 1필지천연 및 혼합조제 조미료 제조업 외 1 종엑기스(다시마 새우 반지락) 혼합조미료2023-10-31
533534화평산업 주식회사055-855-0265<NA>경상남도 사천시 축동면 가산리 473-1번지콘크리트 관 및 기타 구조용 콘크리트 제품 제조업콘크리트제품2023-10-31
534535효성섬유055-854-3270055-0854-0937경상남도 사천시 축동면 가산리 248-5번지특수 직물 및 기타 직물 직조업실크2023-10-31
535536흙사랑 영농조합법인055-854-8383055-854-8384경상남도 사천시 사천읍 장전리 838번지 흙사랑영농조합법인배합 사료 제조업미생물 배양액 생균제(사료첨가제)<NA>