Overview

Dataset statistics

Number of variables8
Number of observations383
Missing cells214
Missing cells (%)7.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.4 KiB
Average record size in memory65.3 B

Variable types

Numeric1
Text7

Dataset

Description광주광역시 서구 관내 제조업체에 대한 데이터로 상호명, 대표자명, 주소, 전화번호, 업종명, 주생산품 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15034927/fileData.do

Alerts

전화번호 has 90 (23.5%) missing valuesMissing
팩스번호 has 124 (32.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:59:41.741127
Analysis finished2023-12-12 07:59:42.812698
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct383
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.90339
Minimum1
Maximum393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T16:59:42.893100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.1
Q1100.5
median197
Q3292.5
95-th percentile373.9
Maximum393
Range392
Interquartile range (IQR)192

Descriptive statistics

Standard deviation112.96969
Coefficient of variation (CV)0.57373154
Kurtosis-1.1801534
Mean196.90339
Median Absolute Deviation (MAD)96
Skewness0.009376113
Sum75414
Variance12762.15
MonotonicityStrictly increasing
2023-12-12T16:59:43.077826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
2 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
Other values (373) 373
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
393 1
0.3%
392 1
0.3%
391 1
0.3%
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%

회사명
Text

Distinct377
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:59:43.330616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.2219321
Min length2

Characters and Unicode

Total characters2766
Distinct characters296
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

Unique372 ?
Unique (%)97.1%

Sample

1st row(유)거북철강
2nd row(유)모던라인테크
3rd row(유)양지뜰푸드시스템
4th row(주) 새빛날
5th row(주) 한신에스티
ValueCountFrequency (%)
주식회사 66
 
14.0%
유한회사 10
 
2.1%
주 3
 
0.6%
한신건업 3
 
0.6%
한신에스티 2
 
0.4%
f 2
 
0.4%
한성퍼니처 2
 
0.4%
동신건설 2
 
0.4%
동부강재 2
 
0.4%
주)유명기업 2
 
0.4%
Other values (379) 379
80.1%
2023-12-12T16:59:43.755711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 237
 
8.6%
) 165
 
6.0%
( 165
 
6.0%
사 91
 
3.3%
90
 
3.3%
회 82
 
3.0%
식 78
 
2.8%
업 72
 
2.6%
이 62
 
2.2%
산 60
 
2.2%
Other values (286) 1664
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2322
83.9%
Close Punctuation 165
 
6.0%
Open Punctuation 165
 
6.0%
Space Separator 90
 
3.3%
Uppercase Letter 18
 
0.7%
Other Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 237
 
10.2%
사 91
 
3.9%
회 82
 
3.5%
식 78
 
3.4%
업 72
 
3.1%
이 62
 
2.7%
산 60
 
2.6%
스 51
 
2.2%
광 37
 
1.6%
한 35
 
1.5%
Other values (270) 1517
65.3%
Uppercase Letter
ValueCountFrequency (%)
G 3
16.7%
N 2
11.1%
A 2
11.1%
F 2
11.1%
L 2
11.1%
E 2
11.1%
I 1
 
5.6%
O 1
 
5.6%
P 1
 
5.6%
H 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2322
83.9%
Common 426
 
15.4%
Latin 18
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 237
 
10.2%
사 91
 
3.9%
회 82
 
3.5%
식 78
 
3.4%
업 72
 
3.1%
이 62
 
2.7%
산 60
 
2.6%
스 51
 
2.2%
광 37
 
1.6%
한 35
 
1.5%
Other values (270) 1517
65.3%
Latin
ValueCountFrequency (%)
G 3
16.7%
N 2
11.1%
A 2
11.1%
F 2
11.1%
L 2
11.1%
E 2
11.1%
I 1
 
5.6%
O 1
 
5.6%
P 1
 
5.6%
H 1
 
5.6%
Common
ValueCountFrequency (%)
) 165
38.7%
( 165
38.7%
90
21.1%
& 3
 
0.7%
2 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2322
83.9%
ASCII 444
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 237
 
10.2%
사 91
 
3.9%
회 82
 
3.5%
식 78
 
3.4%
업 72
 
3.1%
이 62
 
2.7%
산 60
 
2.6%
스 51
 
2.2%
광 37
 
1.6%
한 35
 
1.5%
Other values (270) 1517
65.3%
ASCII
ValueCountFrequency (%)
) 165
37.2%
( 165
37.2%
90
20.3%
& 3
 
0.7%
G 3
 
0.7%
2 3
 
0.7%
N 2
 
0.5%
A 2
 
0.5%
F 2
 
0.5%
L 2
 
0.5%
Other values (6) 7
 
1.6%

대표자명
Text

Distinct349
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:59:44.137036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0992167
Min length2

Characters and Unicode

Total characters1187
Distinct characters165
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)83.3%

Sample

1st row최아영
2nd row손민수
3rd row위보훈
4th row정미령
5th row유민숙
ValueCountFrequency (%)
김동섭 4
 
1.0%
권만용 3
 
0.8%
외 3
 
0.8%
정경숙 3
 
0.8%
장재영 2
 
0.5%
정은정 2
 
0.5%
이영재 2
 
0.5%
김정훈 2
 
0.5%
김정옥 2
 
0.5%
박찬봉 2
 
0.5%
Other values (346) 369
93.7%
2023-12-12T16:59:44.607590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 80
 
6.7%
정 59
 
5.0%
이 47
 
4.0%
영 43
 
3.6%
박 40
 
3.4%
수 32
 
2.7%
성 31
 
2.6%
조 25
 
2.1%
희 25
 
2.1%
현 22
 
1.9%
Other values (155) 783
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1167
98.3%
Space Separator 11
 
0.9%
Other Punctuation 6
 
0.5%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 80
 
6.9%
정 59
 
5.1%
이 47
 
4.0%
영 43
 
3.7%
박 40
 
3.4%
수 32
 
2.7%
성 31
 
2.7%
조 25
 
2.1%
희 25
 
2.1%
현 22
 
1.9%
Other values (152) 763
65.4%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1167
98.3%
Common 20
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 80
 
6.9%
정 59
 
5.1%
이 47
 
4.0%
영 43
 
3.7%
박 40
 
3.4%
수 32
 
2.7%
성 31
 
2.7%
조 25
 
2.1%
희 25
 
2.1%
현 22
 
1.9%
Other values (152) 763
65.4%
Common
ValueCountFrequency (%)
11
55.0%
, 6
30.0%
1 3
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1167
98.3%
ASCII 20
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 80
 
6.9%
정 59
 
5.1%
이 47
 
4.0%
영 43
 
3.7%
박 40
 
3.4%
수 32
 
2.7%
성 31
 
2.7%
조 25
 
2.1%
희 25
 
2.1%
현 22
 
1.9%
Other values (152) 763
65.4%
ASCII
ValueCountFrequency (%)
11
55.0%
, 6
30.0%
1 3
 
15.0%

전화번호
Text

MISSING 

Distinct278
Distinct (%)94.9%
Missing90
Missing (%)23.5%
Memory size3.1 KiB
2023-12-12T16:59:44.872272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.976109
Min length9

Characters and Unicode

Total characters3509
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

Unique266 ?
Unique (%)90.8%

Sample

1st row062-372-0011
2nd row062-512-6662
3rd row062-682-8944
4th row062-372-2222
5th row062-513-5700
ValueCountFrequency (%)
062-513-0381 4
 
1.4%
062-513-4800 3
 
1.0%
062-351-7111 2
 
0.7%
070-7178-5021 2
 
0.7%
062-513-5700 2
 
0.7%
062-385-0267 2
 
0.7%
062-511-3511 2
 
0.7%
062-374-3933 2
 
0.7%
062-383-1482 2
 
0.7%
062-374-0485 2
 
0.7%
Other values (268) 270
92.2%
2023-12-12T16:59:45.304638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 582
16.6%
2 499
14.2%
0 488
13.9%
6 449
12.8%
3 339
9.7%
5 271
7.7%
1 249
7.1%
7 175
 
5.0%
4 174
 
5.0%
8 166
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2927
83.4%
Dash Punctuation 582
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 499
17.0%
0 488
16.7%
6 449
15.3%
3 339
11.6%
5 271
9.3%
1 249
8.5%
7 175
 
6.0%
4 174
 
5.9%
8 166
 
5.7%
9 117
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 582
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 582
16.6%
2 499
14.2%
0 488
13.9%
6 449
12.8%
3 339
9.7%
5 271
7.7%
1 249
7.1%
7 175
 
5.0%
4 174
 
5.0%
8 166
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 582
16.6%
2 499
14.2%
0 488
13.9%
6 449
12.8%
3 339
9.7%
5 271
7.7%
1 249
7.1%
7 175
 
5.0%
4 174
 
5.0%
8 166
 
4.7%

팩스번호
Text

MISSING 

Distinct235
Distinct (%)90.7%
Missing124
Missing (%)32.4%
Memory size3.1 KiB
2023-12-12T16:59:45.582451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.015444
Min length12

Characters and Unicode

Total characters3112
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

Unique217 ?
Unique (%)83.8%

Sample

1st row062-374-7747
2nd row062-512-6663
3rd row062-364-1988
4th row062-513-2896
5th row062-513-3329
ValueCountFrequency (%)
062-513-2896 3
 
1.2%
062-251-2811 3
 
1.2%
062-234-4200 3
 
1.2%
062-366-0171 3
 
1.2%
062-513-0382 3
 
1.2%
062-376-6009 3
 
1.2%
062-513-0142 2
 
0.8%
062-522-2166 2
 
0.8%
062-373-5377 2
 
0.8%
062-383-2251 2
 
0.8%
Other values (225) 233
90.0%
2023-12-12T16:59:45.991798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 518
16.6%
2 439
14.1%
6 428
13.8%
0 410
13.2%
3 289
9.3%
5 251
8.1%
1 213
6.8%
7 160
 
5.1%
4 156
 
5.0%
8 134
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2594
83.4%
Dash Punctuation 518
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 439
16.9%
6 428
16.5%
0 410
15.8%
3 289
11.1%
5 251
9.7%
1 213
8.2%
7 160
 
6.2%
4 156
 
6.0%
8 134
 
5.2%
9 114
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 518
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 518
16.6%
2 439
14.1%
6 428
13.8%
0 410
13.2%
3 289
9.3%
5 251
8.1%
1 213
6.8%
7 160
 
5.1%
4 156
 
5.0%
8 134
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 518
16.6%
2 439
14.1%
6 428
13.8%
0 410
13.2%
3 289
9.3%
5 251
8.1%
1 213
6.8%
7 160
 
5.1%
4 156
 
5.0%
8 134
 
4.3%

공장주소
Text

Distinct377
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:59:46.193367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length26.031332
Min length17

Characters and Unicode

Total characters9970
Distinct characters160
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

Unique371 ?
Unique (%)96.9%

Sample

1st row광주광역시 서구 칠성로35번길 4 (쌍촌동)
2nd row광주광역시 서구 유덕로142번길 15, B동 (덕흥동)
3rd row광주광역시 서구 하남대로550번길 39-17 (동천동)
4th row광주광역시 서구 상무대로 929, 2층(쌍촌동)
5th row광주광역시 서구 하남대로502번길 19-26 (유촌동)
ValueCountFrequency (%)
광주광역시 383
19.6%
서구 383
19.6%
덕흥동 89
 
4.5%
동천동 67
 
3.4%
유촌동 52
 
2.7%
유덕로 44
 
2.2%
무진대로 38
 
1.9%
하남대로502번길 38
 
1.9%
하남대로550번길 30
 
1.5%
매월동 19
 
1.0%
Other values (479) 815
41.6%
2023-12-12T16:59:46.849237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1575
 
15.8%
광 774
 
7.8%
동 472
 
4.7%
서 408
 
4.1%
주 393
 
3.9%
구 385
 
3.9%
시 384
 
3.9%
역 383
 
3.8%
) 381
 
3.8%
( 381
 
3.8%
Other values (150) 4434
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5778
58.0%
Decimal Number 1632
 
16.4%
Space Separator 1575
 
15.8%
Close Punctuation 382
 
3.8%
Open Punctuation 382
 
3.8%
Dash Punctuation 155
 
1.6%
Other Punctuation 62
 
0.6%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 774
13.4%
동 472
 
8.2%
서 408
 
7.1%
주 393
 
6.8%
구 385
 
6.7%
시 384
 
6.6%
역 383
 
6.6%
로 321
 
5.6%
길 210
 
3.6%
덕 205
 
3.5%
Other values (130) 1843
31.9%
Decimal Number
ValueCountFrequency (%)
1 318
19.5%
2 262
16.1%
5 209
12.8%
0 176
10.8%
3 161
9.9%
4 152
9.3%
9 116
 
7.1%
6 103
 
6.3%
7 75
 
4.6%
8 60
 
3.7%
Close Punctuation
ValueCountFrequency (%)
) 381
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 381
99.7%
[ 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 61
98.4%
* 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
75.0%
B 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1575
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5778
58.0%
Common 4188
42.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 774
13.4%
동 472
 
8.2%
서 408
 
7.1%
주 393
 
6.8%
구 385
 
6.7%
시 384
 
6.6%
역 383
 
6.6%
로 321
 
5.6%
길 210
 
3.6%
덕 205
 
3.5%
Other values (130) 1843
31.9%
Common
ValueCountFrequency (%)
1575
37.6%
) 381
 
9.1%
( 381
 
9.1%
1 318
 
7.6%
2 262
 
6.3%
5 209
 
5.0%
0 176
 
4.2%
3 161
 
3.8%
- 155
 
3.7%
4 152
 
3.6%
Other values (8) 418
 
10.0%
Latin
ValueCountFrequency (%)
A 3
75.0%
B 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5778
58.0%
ASCII 4192
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1575
37.6%
) 381
 
9.1%
( 381
 
9.1%
1 318
 
7.6%
2 262
 
6.2%
5 209
 
5.0%
0 176
 
4.2%
3 161
 
3.8%
- 155
 
3.7%
4 152
 
3.6%
Other values (10) 422
 
10.1%
Hangul
ValueCountFrequency (%)
광 774
13.4%
동 472
 
8.2%
서 408
 
7.1%
주 393
 
6.8%
구 385
 
6.7%
시 384
 
6.6%
역 383
 
6.6%
로 321
 
5.6%
길 210
 
3.6%
덕 205
 
3.5%
Other values (130) 1843
31.9%

업종명
Text

Distinct169
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:59:47.153443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length18.368146
Min length6

Characters and Unicode

Total characters7035
Distinct characters194
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

Unique108 ?
Unique (%)28.2%

Sample

1st row육상 금속 골조 구조재 제조업 외 2 종
2nd row기타 목재가구 제조업 외 2 종
3rd row천연 및 혼합조제 조미료 제조업 외 1 종
4th row유선 통신장비 제조업 외 4 종
5th row콘크리트 관 및 기타 구조용 콘크리트 제품 제조업
ValueCountFrequency (%)
제조업 357
 
15.4%
및 205
 
8.9%
외 196
 
8.5%
종 182
 
7.9%
금속 114
 
4.9%
1 107
 
4.6%
기타 74
 
3.2%
관련제품 58
 
2.5%
창 53
 
2.3%
셔터 53
 
2.3%
Other values (198) 916
39.6%
2023-12-12T16:59:47.591062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1932
27.5%
제 505
 
7.2%
조 459
 
6.5%
업 390
 
5.5%
및 205
 
2.9%
외 203
 
2.9%
종 184
 
2.6%
품 144
 
2.0%
기 138
 
2.0%
금 133
 
1.9%
Other values (184) 2742
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4795
68.2%
Space Separator 1932
27.5%
Decimal Number 184
 
2.6%
Other Punctuation 110
 
1.6%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 505
 
10.5%
조 459
 
9.6%
업 390
 
8.1%
및 205
 
4.3%
외 203
 
4.2%
종 184
 
3.8%
품 144
 
3.0%
기 138
 
2.9%
금 133
 
2.8%
속 124
 
2.6%
Other values (172) 2310
48.2%
Decimal Number
ValueCountFrequency (%)
1 110
59.8%
2 25
 
13.6%
3 17
 
9.2%
4 12
 
6.5%
5 11
 
6.0%
6 5
 
2.7%
9 3
 
1.6%
8 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1932
100.0%
Other Punctuation
ValueCountFrequency (%)
, 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4795
68.2%
Common 2240
31.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 505
 
10.5%
조 459
 
9.6%
업 390
 
8.1%
및 205
 
4.3%
외 203
 
4.2%
종 184
 
3.8%
품 144
 
3.0%
기 138
 
2.9%
금 133
 
2.8%
속 124
 
2.6%
Other values (172) 2310
48.2%
Common
ValueCountFrequency (%)
1932
86.2%
, 110
 
4.9%
1 110
 
4.9%
2 25
 
1.1%
3 17
 
0.8%
4 12
 
0.5%
5 11
 
0.5%
) 7
 
0.3%
( 7
 
0.3%
6 5
 
0.2%
Other values (2) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4790
68.1%
ASCII 2240
31.8%
Compat Jamo 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1932
86.2%
, 110
 
4.9%
1 110
 
4.9%
2 25
 
1.1%
3 17
 
0.8%
4 12
 
0.5%
5 11
 
0.5%
) 7
 
0.3%
( 7
 
0.3%
6 5
 
0.2%
Other values (2) 4
 
0.2%
Hangul
ValueCountFrequency (%)
제 505
 
10.5%
조 459
 
9.6%
업 390
 
8.1%
및 205
 
4.3%
외 203
 
4.2%
종 184
 
3.8%
품 144
 
3.0%
기 138
 
2.9%
금 133
 
2.8%
속 124
 
2.6%
Other values (171) 2305
48.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%

주생산품
Text

Distinct339
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T16:59:47.922178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length9.4908616
Min length2

Characters and Unicode

Total characters3635
Distinct characters363
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

Unique313 ?
Unique (%)81.7%

Sample

1st row생산품
2nd row철물구조봉
3rd row화장실칸막이, 조립식패널
4th row양념 간장류, 혼합 소스류
5th row통합배선반
ValueCountFrequency (%)
창호 31
 
4.0%
알루미늄 23
 
2.9%
및 22
 
2.8%
플라스틱 21
 
2.7%
창호샷시 14
 
1.8%
등 11
 
1.4%
간판 9
 
1.1%
태양광 7
 
0.9%
판넬 7
 
0.9%
금속 6
 
0.8%
Other values (473) 633
80.7%
2023-12-12T16:59:48.429031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
402
 
11.1%
, 203
 
5.6%
판 79
 
2.2%
창 74
 
2.0%
기 73
 
2.0%
스 66
 
1.8%
호 66
 
1.8%
조 59
 
1.6%
품 56
 
1.5%
장 56
 
1.5%
Other values (353) 2501
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2923
80.4%
Space Separator 402
 
11.1%
Other Punctuation 204
 
5.6%
Uppercase Letter 66
 
1.8%
Open Punctuation 15
 
0.4%
Close Punctuation 15
 
0.4%
Decimal Number 6
 
0.2%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
판 79
 
2.7%
창 74
 
2.5%
기 73
 
2.5%
스 66
 
2.3%
호 66
 
2.3%
조 59
 
2.0%
품 56
 
1.9%
장 56
 
1.9%
제 55
 
1.9%
전 52
 
1.8%
Other values (329) 2287
78.2%
Uppercase Letter
ValueCountFrequency (%)
C 16
24.2%
D 9
13.6%
L 8
12.1%
E 8
12.1%
V 8
12.1%
T 8
12.1%
S 3
 
4.5%
P 1
 
1.5%
W 1
 
1.5%
Y 1
 
1.5%
Other values (3) 3
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
6 1
 
16.7%
2 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
v 1
25.0%
t 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 203
99.5%
' 1
 
0.5%
Space Separator
ValueCountFrequency (%)
402
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2923
80.4%
Common 642
 
17.7%
Latin 70
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
판 79
 
2.7%
창 74
 
2.5%
기 73
 
2.5%
스 66
 
2.3%
호 66
 
2.3%
조 59
 
2.0%
품 56
 
1.9%
장 56
 
1.9%
제 55
 
1.9%
전 52
 
1.8%
Other values (329) 2287
78.2%
Latin
ValueCountFrequency (%)
C 16
22.9%
D 9
12.9%
L 8
11.4%
E 8
11.4%
V 8
11.4%
T 8
11.4%
S 3
 
4.3%
c 2
 
2.9%
P 1
 
1.4%
v 1
 
1.4%
Other values (6) 6
 
8.6%
Common
ValueCountFrequency (%)
402
62.6%
, 203
31.6%
( 15
 
2.3%
) 15
 
2.3%
1 4
 
0.6%
' 1
 
0.2%
6 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2923
80.4%
ASCII 712
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
402
56.5%
, 203
28.5%
C 16
 
2.2%
( 15
 
2.1%
) 15
 
2.1%
D 9
 
1.3%
L 8
 
1.1%
E 8
 
1.1%
V 8
 
1.1%
T 8
 
1.1%
Other values (14) 20
 
2.8%
Hangul
ValueCountFrequency (%)
판 79
 
2.7%
창 74
 
2.5%
기 73
 
2.5%
스 66
 
2.3%
호 66
 
2.3%
조 59
 
2.0%
품 56
 
1.9%
장 56
 
1.9%
제 55
 
1.9%
전 52
 
1.8%
Other values (329) 2287
78.2%

Interactions

2023-12-12T16:59:42.351388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T16:59:42.521768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:59:42.649402image/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.
2023-12-12T16:59:42.768008image/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

연번회사명대표자명전화번호팩스번호공장주소업종명주생산품
01(유)거북철강최아영062-372-0011062-374-7747광주광역시 서구 칠성로35번길 4 (쌍촌동)육상 금속 골조 구조재 제조업 외 2 종생산품
12(유)모던라인테크손민수062-512-6662062-512-6663광주광역시 서구 유덕로142번길 15, B동 (덕흥동)기타 목재가구 제조업 외 2 종철물구조봉
23(유)양지뜰푸드시스템위보훈062-682-8944<NA>광주광역시 서구 하남대로550번길 39-17 (동천동)천연 및 혼합조제 조미료 제조업 외 1 종화장실칸막이, 조립식패널
34(주) 새빛날정미령062-372-2222062-364-1988광주광역시 서구 상무대로 929, 2층(쌍촌동)유선 통신장비 제조업 외 4 종양념 간장류, 혼합 소스류
45(주) 한신에스티유민숙062-513-5700062-513-2896광주광역시 서구 하남대로502번길 19-26 (유촌동)콘크리트 관 및 기타 구조용 콘크리트 제품 제조업통합배선반
56(주)가온씨앤디이성훈061-393-3329062-513-3329광주광역시 서구 하남대로502번길 19-10, 1동 (유촌동)육상 금속 골조 구조재 제조업 외 3 종콘크리트 맨홀
67(주)거평기업장계연062-232-5106<NA>광주광역시 서구 유덕로 94-28, 주1동(유촌동)금속 문, 창, 셔터 및 관련제품 제조업반사형 방음판, 구조용 금속판제품 등
78(주)공능이엔지조태호062-352-2119062-352-2118광주광역시 서구 유덕로 13-2 (유촌동)전기경보 및 신호장치 제조업금속문, 창, 관련제품
89(주)광명스치로폴홍석우<NA><NA>광주광역시 서구 하남대로550번길 39-5 (동천동)구조용 금속 판제품 및 공작물 제조업 외 1 종GR형 화재수신기
910(주)국제도어유리허길수<NA><NA>광주광역시 서구 유덕로6번길 30-12 (유촌동)가정용 유리제품 제조업철강모형, 플라스틱 창, 판넬
연번회사명대표자명전화번호팩스번호공장주소업종명주생산품
373384한양공영(주)김정훈062-361-2277062-363-2279광주광역시 서구 천변좌로 8-3 (광천동)교통 신호장치 제조업주방용 목재가구
374385핼프앤드코리아성장호,이연숙<NA><NA>광주광역시 서구 벽진학두길 17(벽진동)기타 과실ㆍ채소 가공 및 저장 처리업주차관제기기
375386현 건축(실내건축)박 현062-653-3690<NA>광주광역시 서구 화정로309번길 32, 지하층(농성동)전시용 모형 제조업탈피마늘, 양파
376387현대엘림김선062-361-4565062-367-4566광주광역시 서구 유덕로 74 (유촌동)액체 여과기 제조업전시용 모형 제작
377388현대판금나인석062-511-4292062-511-4293광주광역시 서구 하남대로550번길 49 (동천동)그 외 기타 분류 안된 금속 가공 제품 제조업 외 1 종정수기
378389호남발전기이남호<NA>062-952-4787광주광역시 서구 무진대로 595(유촌동) 외 1필지전동기 및 발전기 제조업철재케이스
379390호남창호 주식회사이영숙062-513-9600062-513-9603광주광역시 서구 하남대로502번길 11 (동천동)기타 건축용 플라스틱 조립제품 제조업 외 5 종발전기
380391화성특장신태수<NA><NA>광주광역시 서구 풍서좌로 109 (매월동)차체 및 특장차 제조업 외 1 종하이샷시
381392화신산업조갑연<NA>062-653-6883광주광역시 서구 유덕로 91-1 (유촌동)금속 문, 창, 셔터 및 관련제품 제조업차량특장(적재함)
382393화인도어유흥식062-513-6480062-513-6481광주광역시 서구 하남대로502번길 19-43 (동천동)금속 문, 창, 셔터 및 관련제품 제조업 외 2 종알루미늄 창호