Overview

Dataset statistics

Number of variables9
Number of observations1225
Missing cells227
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory87.5 KiB
Average record size in memory73.1 B

Variable types

Categorical2
Text6
Numeric1

Dataset

Description전북특별자치도 전주시 내 공장등록현황을 제공하며, 단지명, 공장명, 도로명주소, 지번주소, 업종명, 생산품명 등을 제공합니다.항목 : 단지명, 공장명, 도로명주소, 지번주소, 업종명, 생산품명, 연락처, 공장면적, 데이터기준일자제공부서 : 기업지원과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/3069076/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 217 (17.7%) missing valuesMissing
공장면적 is highly skewed (γ1 = 22.99558658)Skewed

Reproduction

Analysis started2024-03-14 19:00:09.813280
Analysis finished2024-03-14 19:00:14.301567
Duration4.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단지명
Categorical

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
덕진구 개별입지
682 
완산구 개별입지
281 
전주제1일반산업단지
98 
도시첨단산업단지
 
64
친환경복합산업단지(1단계)
 
63
Other values (2)
 
37

Length

Max length14
Median length8
Mean length8.5110204
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row덕진구 개별입지
2nd row덕진구 개별입지
3rd row덕진구 개별입지
4th row덕진구 개별입지
5th row덕진구 개별입지

Common Values

ValueCountFrequency (%)
덕진구 개별입지 682
55.7%
완산구 개별입지 281
22.9%
전주제1일반산업단지 98
 
8.0%
도시첨단산업단지 64
 
5.2%
친환경복합산업단지(1단계) 63
 
5.1%
전주제2일반산업단지 26
 
2.1%
자원순환특화단지 11
 
0.9%

Length

2024-03-15T04:00:14.546595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:00:14.950372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개별입지 963
44.0%
덕진구 682
31.2%
완산구 281
 
12.8%
전주제1일반산업단지 98
 
4.5%
도시첨단산업단지 64
 
2.9%
친환경복합산업단지(1단계 63
 
2.9%
전주제2일반산업단지 26
 
1.2%
자원순환특화단지 11
 
0.5%

공장명
Text

Distinct1192
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
2024-03-15T04:00:16.662821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length7.6
Min length1

Characters and Unicode

Total characters9310
Distinct characters534
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1163 ?
Unique (%)94.9%

Sample

1st row(사)캠틱종합기술원
2nd row(유) 명원
3rd row(유) 세화테크
4th row(유) 시원
5th row(유) 전주건업
ValueCountFrequency (%)
주식회사 164
 
10.5%
유한회사 68
 
4.3%
주 21
 
1.3%
농업회사법인 18
 
1.1%
유 6
 
0.4%
전주공장 5
 
0.3%
주)옵토웰 4
 
0.3%
한실어패럴 3
 
0.2%
전북지역본부 3
 
0.2%
전자부품연구원 3
 
0.2%
Other values (1228) 1271
81.2%
2024-03-15T04:00:18.527102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 616
 
6.6%
( 541
 
5.8%
) 541
 
5.8%
342
 
3.7%
사 338
 
3.6%
회 288
 
3.1%
유 261
 
2.8%
이 261
 
2.8%
식 199
 
2.1%
스 168
 
1.8%
Other values (524) 5755
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7700
82.7%
Open Punctuation 541
 
5.8%
Close Punctuation 541
 
5.8%
Space Separator 342
 
3.7%
Uppercase Letter 124
 
1.3%
Lowercase Letter 29
 
0.3%
Decimal Number 15
 
0.2%
Other Punctuation 8
 
0.1%
Other Symbol 6
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 616
 
8.0%
사 338
 
4.4%
회 288
 
3.7%
유 261
 
3.4%
이 261
 
3.4%
식 199
 
2.6%
스 168
 
2.2%
업 151
 
2.0%
한 135
 
1.8%
전 131
 
1.7%
Other values (474) 5152
66.9%
Uppercase Letter
ValueCountFrequency (%)
N 15
12.1%
C 15
12.1%
E 14
11.3%
G 12
9.7%
D 8
 
6.5%
T 7
 
5.6%
L 6
 
4.8%
O 6
 
4.8%
J 6
 
4.8%
A 6
 
4.8%
Other values (13) 29
23.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.2%
c 5
17.2%
t 3
10.3%
o 3
10.3%
n 2
 
6.9%
r 2
 
6.9%
d 2
 
6.9%
a 2
 
6.9%
l 2
 
6.9%
u 1
 
3.4%
Other values (2) 2
 
6.9%
Decimal Number
ValueCountFrequency (%)
2 7
46.7%
1 2
 
13.3%
5 2
 
13.3%
3 1
 
6.7%
6 1
 
6.7%
8 1
 
6.7%
4 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
& 4
50.0%
. 3
37.5%
, 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 541
100.0%
Close Punctuation
ValueCountFrequency (%)
) 541
100.0%
Space Separator
ValueCountFrequency (%)
342
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7706
82.8%
Common 1451
 
15.6%
Latin 153
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 616
 
8.0%
사 338
 
4.4%
회 288
 
3.7%
유 261
 
3.4%
이 261
 
3.4%
식 199
 
2.6%
스 168
 
2.2%
업 151
 
2.0%
한 135
 
1.8%
전 131
 
1.7%
Other values (475) 5158
66.9%
Latin
ValueCountFrequency (%)
N 15
 
9.8%
C 15
 
9.8%
E 14
 
9.2%
G 12
 
7.8%
D 8
 
5.2%
T 7
 
4.6%
L 6
 
3.9%
O 6
 
3.9%
J 6
 
3.9%
A 6
 
3.9%
Other values (25) 58
37.9%
Common
ValueCountFrequency (%)
( 541
37.3%
) 541
37.3%
342
23.6%
2 7
 
0.5%
& 4
 
0.3%
- 4
 
0.3%
. 3
 
0.2%
1 2
 
0.1%
5 2
 
0.1%
3 1
 
0.1%
Other values (4) 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7700
82.7%
ASCII 1604
 
17.2%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 616
 
8.0%
사 338
 
4.4%
회 288
 
3.7%
유 261
 
3.4%
이 261
 
3.4%
식 199
 
2.6%
스 168
 
2.2%
업 151
 
2.0%
한 135
 
1.8%
전 131
 
1.7%
Other values (474) 5152
66.9%
ASCII
ValueCountFrequency (%)
( 541
33.7%
) 541
33.7%
342
21.3%
N 15
 
0.9%
C 15
 
0.9%
E 14
 
0.9%
G 12
 
0.7%
D 8
 
0.5%
T 7
 
0.4%
2 7
 
0.4%
Other values (39) 102
 
6.4%
None
ValueCountFrequency (%)
㈜ 6
100.0%

도로명주소
Text

Distinct1162
Distinct (%)95.4%
Missing7
Missing (%)0.6%
Memory size9.7 KiB
2024-03-15T04:00:19.872767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length75
Mean length36.460591
Min length23

Characters and Unicode

Total characters44409
Distinct characters338
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1112 ?
Unique (%)91.3%

Sample

1st row전북특별자치도 전주시 덕진구 유상로 67, 전주첨단벤처단지 6 (팔복동2가)
2nd row전북특별자치도 전주시 덕진구 신흥안길 55-55, 주2동(고랑동)
3rd row전북특별자치도 전주시 덕진구 삼거1길 68 (금상동)
4th row전북특별자치도 전주시 덕진구 정여립로 1115, 5층, 501호 (만성동)
5th row전북특별자치도 전주시 덕진구 덕촌길 29 (팔복동3가)
ValueCountFrequency (%)
전주시 1220
 
14.8%
전북특별자치도 1218
 
14.8%
덕진구 928
 
11.3%
완산구 292
 
3.5%
팔복동2가 181
 
2.2%
팔복동1가 105
 
1.3%
반룡로 80
 
1.0%
외 76
 
0.9%
여의동 69
 
0.8%
팔복동3가 55
 
0.7%
Other values (1478) 4004
48.7%
2024-03-15T04:00:21.824505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7010
 
15.8%
전 2705
 
6.1%
1 1471
 
3.3%
동 1447
 
3.3%
주 1362
 
3.1%
자 1330
 
3.0%
북 1287
 
2.9%
구 1273
 
2.9%
도 1228
 
2.8%
시 1225
 
2.8%
Other values (328) 24071
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27922
62.9%
Space Separator 7010
 
15.8%
Decimal Number 6046
 
13.6%
Close Punctuation 1153
 
2.6%
Open Punctuation 1152
 
2.6%
Other Punctuation 577
 
1.3%
Dash Punctuation 479
 
1.1%
Uppercase Letter 68
 
0.2%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2705
 
9.7%
동 1447
 
5.2%
주 1362
 
4.9%
자 1330
 
4.8%
북 1287
 
4.6%
구 1273
 
4.6%
도 1228
 
4.4%
시 1225
 
4.4%
별 1223
 
4.4%
특 1221
 
4.4%
Other values (297) 13621
48.8%
Uppercase Letter
ValueCountFrequency (%)
B 25
36.8%
A 18
26.5%
I 8
 
11.8%
T 5
 
7.4%
K 3
 
4.4%
E 2
 
2.9%
D 2
 
2.9%
C 2
 
2.9%
O 1
 
1.5%
H 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 1471
24.3%
2 1175
19.4%
3 754
12.5%
0 583
 
9.6%
4 485
 
8.0%
5 436
 
7.2%
6 323
 
5.3%
7 309
 
5.1%
9 262
 
4.3%
8 248
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 568
98.4%
. 7
 
1.2%
/ 1
 
0.2%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
7010
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 479
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27922
62.9%
Common 16418
37.0%
Latin 69
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2705
 
9.7%
동 1447
 
5.2%
주 1362
 
4.9%
자 1330
 
4.8%
북 1287
 
4.6%
구 1273
 
4.6%
도 1228
 
4.4%
시 1225
 
4.4%
별 1223
 
4.4%
특 1221
 
4.4%
Other values (297) 13621
48.8%
Common
ValueCountFrequency (%)
7010
42.7%
1 1471
 
9.0%
2 1175
 
7.2%
) 1153
 
7.0%
( 1152
 
7.0%
3 754
 
4.6%
0 583
 
3.6%
, 568
 
3.5%
4 485
 
3.0%
- 479
 
2.9%
Other values (9) 1588
 
9.7%
Latin
ValueCountFrequency (%)
B 25
36.2%
A 18
26.1%
I 8
 
11.6%
T 5
 
7.2%
K 3
 
4.3%
E 2
 
2.9%
D 2
 
2.9%
C 2
 
2.9%
O 1
 
1.4%
H 1
 
1.4%
Other values (2) 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27922
62.9%
ASCII 16487
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7010
42.5%
1 1471
 
8.9%
2 1175
 
7.1%
) 1153
 
7.0%
( 1152
 
7.0%
3 754
 
4.6%
0 583
 
3.5%
, 568
 
3.4%
4 485
 
2.9%
- 479
 
2.9%
Other values (21) 1657
 
10.1%
Hangul
ValueCountFrequency (%)
전 2705
 
9.7%
동 1447
 
5.2%
주 1362
 
4.9%
자 1330
 
4.8%
북 1287
 
4.6%
구 1273
 
4.6%
도 1228
 
4.4%
시 1225
 
4.4%
별 1223
 
4.4%
특 1221
 
4.4%
Other values (297) 13621
48.8%

지번주소
Text

Distinct1175
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
2024-03-15T04:00:22.900266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length74
Mean length32.552653
Min length12

Characters and Unicode

Total characters39877
Distinct characters243
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1128 ?
Unique (%)92.1%

Sample

1st row전북특별자치도 전주시 덕진구 팔복동2가 750-1번지 전주첨단벤처단지 6동
2nd row전북특별자치도 전주시 덕진구 고랑동 290-1 주2동
3rd row전북특별자치도 전주시 덕진구 금상동 523-7번지
4th row전북특별자치도 전주시 덕진구 만성동 1345-5번지 5층, 501호
5th row전북특별자치도 전주시 덕진구 팔복동3가 132-2번지
ValueCountFrequency (%)
전주시 1226
16.9%
전북특별자치도 1224
16.9%
덕진구 934
 
12.9%
완산구 292
 
4.0%
팔복동2가 234
 
3.2%
팔복동1가 112
 
1.5%
여의동 83
 
1.1%
외 79
 
1.1%
팔복동3가 61
 
0.8%
효자동2가 56
 
0.8%
Other values (1364) 2951
40.7%
2024-03-15T04:00:24.428481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6054
 
15.2%
전 2636
 
6.6%
1 1427
 
3.6%
동 1417
 
3.6%
2 1341
 
3.4%
주 1334
 
3.3%
자 1322
 
3.3%
북 1269
 
3.2%
구 1236
 
3.1%
시 1232
 
3.1%
Other values (233) 20609
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25451
63.8%
Decimal Number 7122
 
17.9%
Space Separator 6054
 
15.2%
Dash Punctuation 1033
 
2.6%
Other Punctuation 77
 
0.2%
Uppercase Letter 61
 
0.2%
Close Punctuation 39
 
0.1%
Open Punctuation 38
 
0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2636
 
10.4%
동 1417
 
5.6%
주 1334
 
5.2%
자 1322
 
5.2%
북 1269
 
5.0%
구 1236
 
4.9%
시 1232
 
4.8%
도 1231
 
4.8%
별 1228
 
4.8%
특 1225
 
4.8%
Other values (205) 11321
44.5%
Decimal Number
ValueCountFrequency (%)
1 1427
20.0%
2 1341
18.8%
3 845
11.9%
0 671
9.4%
4 625
8.8%
5 539
 
7.6%
6 467
 
6.6%
8 466
 
6.5%
7 451
 
6.3%
9 290
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 24
39.3%
A 17
27.9%
I 7
 
11.5%
T 5
 
8.2%
E 2
 
3.3%
K 2
 
3.3%
D 2
 
3.3%
H 1
 
1.6%
R 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 69
89.6%
. 7
 
9.1%
& 1
 
1.3%
Space Separator
ValueCountFrequency (%)
6054
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1033
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25451
63.8%
Common 14364
36.0%
Latin 62
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2636
 
10.4%
동 1417
 
5.6%
주 1334
 
5.2%
자 1322
 
5.2%
북 1269
 
5.0%
구 1236
 
4.9%
시 1232
 
4.8%
도 1231
 
4.8%
별 1228
 
4.8%
특 1225
 
4.8%
Other values (205) 11321
44.5%
Common
ValueCountFrequency (%)
6054
42.1%
1 1427
 
9.9%
2 1341
 
9.3%
- 1033
 
7.2%
3 845
 
5.9%
0 671
 
4.7%
4 625
 
4.4%
5 539
 
3.8%
6 467
 
3.3%
8 466
 
3.2%
Other values (8) 896
 
6.2%
Latin
ValueCountFrequency (%)
B 24
38.7%
A 17
27.4%
I 7
 
11.3%
T 5
 
8.1%
E 2
 
3.2%
K 2
 
3.2%
D 2
 
3.2%
H 1
 
1.6%
b 1
 
1.6%
R 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25451
63.8%
ASCII 14426
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6054
42.0%
1 1427
 
9.9%
2 1341
 
9.3%
- 1033
 
7.2%
3 845
 
5.9%
0 671
 
4.7%
4 625
 
4.3%
5 539
 
3.7%
6 467
 
3.2%
8 466
 
3.2%
Other values (18) 958
 
6.6%
Hangul
ValueCountFrequency (%)
전 2636
 
10.4%
동 1417
 
5.6%
주 1334
 
5.2%
자 1322
 
5.2%
북 1269
 
5.0%
구 1236
 
4.9%
시 1232
 
4.8%
도 1231
 
4.8%
별 1228
 
4.8%
특 1225
 
4.8%
Other values (205) 11321
44.5%

업종명
Text

Distinct566
Distinct (%)46.2%
Missing1
Missing (%)0.1%
Memory size9.7 KiB
2024-03-15T04:00:25.853431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length17.571895
Min length3

Characters and Unicode

Total characters21508
Distinct characters305
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique341 ?
Unique (%)27.9%

Sample

1st row절삭가공 및 유사처리업 외 7 종
2nd row구조용 금속 판제품 및 공작물 제조업 외 3 종
3rd row기타 구조용 금속제품 제조업 외 4 종
4th row방송장비 제조업 외 1 종
5th row구조용 금속 판제품 및 공작물 제조업 외 3 종
ValueCountFrequency (%)
제조업 1047
 
14.6%
외 763
 
10.6%
종 620
 
8.6%
및 550
 
7.7%
기타 334
 
4.7%
1 283
 
3.9%
그 140
 
2.0%
금속 128
 
1.8%
2 122
 
1.7%
전기 72
 
1.0%
Other values (502) 3118
43.4%
2024-03-15T04:00:28.295201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5953
27.7%
제 1411
 
6.6%
업 1284
 
6.0%
조 1234
 
5.7%
외 787
 
3.7%
기 719
 
3.3%
종 645
 
3.0%
및 550
 
2.6%
품 349
 
1.6%
타 338
 
1.6%
Other values (295) 8238
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14721
68.4%
Space Separator 5953
27.7%
Decimal Number 656
 
3.1%
Math Symbol 131
 
0.6%
Open Punctuation 22
 
0.1%
Close Punctuation 22
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1411
 
9.6%
업 1284
 
8.7%
조 1234
 
8.4%
외 787
 
5.3%
기 719
 
4.9%
종 645
 
4.4%
및 550
 
3.7%
품 349
 
2.4%
타 338
 
2.3%
용 336
 
2.3%
Other values (280) 7068
48.0%
Decimal Number
ValueCountFrequency (%)
1 322
49.1%
2 124
 
18.9%
3 69
 
10.5%
4 40
 
6.1%
5 39
 
5.9%
6 23
 
3.5%
7 14
 
2.1%
8 10
 
1.5%
9 9
 
1.4%
0 6
 
0.9%
Space Separator
ValueCountFrequency (%)
5953
100.0%
Math Symbol
ValueCountFrequency (%)
+ 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14721
68.4%
Common 6787
31.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1411
 
9.6%
업 1284
 
8.7%
조 1234
 
8.4%
외 787
 
5.3%
기 719
 
4.9%
종 645
 
4.4%
및 550
 
3.7%
품 349
 
2.4%
타 338
 
2.3%
용 336
 
2.3%
Other values (280) 7068
48.0%
Common
ValueCountFrequency (%)
5953
87.7%
1 322
 
4.7%
+ 131
 
1.9%
2 124
 
1.8%
3 69
 
1.0%
4 40
 
0.6%
5 39
 
0.6%
6 23
 
0.3%
( 22
 
0.3%
) 22
 
0.3%
Other values (5) 42
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14713
68.4%
ASCII 6787
31.6%
Compat Jamo 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5953
87.7%
1 322
 
4.7%
+ 131
 
1.9%
2 124
 
1.8%
3 69
 
1.0%
4 40
 
0.6%
5 39
 
0.6%
6 23
 
0.3%
( 22
 
0.3%
) 22
 
0.3%
Other values (5) 42
 
0.6%
Hangul
ValueCountFrequency (%)
제 1411
 
9.6%
업 1284
 
8.7%
조 1234
 
8.4%
외 787
 
5.3%
기 719
 
4.9%
종 645
 
4.4%
및 550
 
3.7%
품 349
 
2.4%
타 338
 
2.3%
용 336
 
2.3%
Other values (279) 7060
48.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
100.0%

생산품명
Text

Distinct1097
Distinct (%)89.7%
Missing2
Missing (%)0.2%
Memory size9.7 KiB
2024-03-15T04:00:29.538623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length48
Mean length11.044971
Min length1

Characters and Unicode

Total characters13508
Distinct characters592
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1031 ?
Unique (%)84.3%

Sample

1st row자동차부품 등
2nd row버스승강장+ 디장인형울타리+ 알루미늄제교량난간+ 볼라드+ 자전거보관대+ 교량이음장치+ 이동식초소+ 이동식화장실+ 안내판 등
3rd row지하수 상부 보호공
4th row폐쇄회로 카메라+ 구내방송장치+ 무선통신장비
5th row금속제 패널+ 합성수지제 창+ 금속제 창+ 청정부스
ValueCountFrequency (%)
및 106
 
4.0%
등 57
 
2.2%
간판 24
 
0.9%
금속 21
 
0.8%
광고물 21
 
0.8%
마스크 20
 
0.8%
인쇄물 16
 
0.6%
부품 15
 
0.6%
산업용 15
 
0.6%
외 14
 
0.5%
Other values (1638) 2336
88.3%
2024-03-15T04:00:31.328228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1434
 
10.6%
+ 781
 
5.8%
기 407
 
3.0%
제 274
 
2.0%
품 232
 
1.7%
장 231
 
1.7%
용 203
 
1.5%
조 199
 
1.5%
전 181
 
1.3%
스 173
 
1.3%
Other values (582) 9393
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10449
77.4%
Space Separator 1434
 
10.6%
Math Symbol 781
 
5.8%
Uppercase Letter 435
 
3.2%
Lowercase Letter 136
 
1.0%
Other Punctuation 97
 
0.7%
Open Punctuation 66
 
0.5%
Close Punctuation 66
 
0.5%
Decimal Number 37
 
0.3%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 407
 
3.9%
제 274
 
2.6%
품 232
 
2.2%
장 231
 
2.2%
용 203
 
1.9%
조 199
 
1.9%
전 181
 
1.7%
스 173
 
1.7%
물 161
 
1.5%
공 145
 
1.4%
Other values (519) 8243
78.9%
Uppercase Letter
ValueCountFrequency (%)
C 72
16.6%
E 63
14.5%
L 60
13.8%
D 58
13.3%
T 36
8.3%
V 32
7.4%
P 25
 
5.7%
S 19
 
4.4%
R 10
 
2.3%
O 9
 
2.1%
Other values (12) 51
11.7%
Lowercase Letter
ValueCountFrequency (%)
e 16
11.8%
o 13
 
9.6%
c 12
 
8.8%
a 11
 
8.1%
r 10
 
7.4%
p 8
 
5.9%
t 8
 
5.9%
m 7
 
5.1%
d 6
 
4.4%
i 6
 
4.4%
Other values (12) 39
28.7%
Decimal Number
ValueCountFrequency (%)
1 8
21.6%
0 7
18.9%
3 5
13.5%
4 5
13.5%
9 4
10.8%
5 3
 
8.1%
2 2
 
5.4%
8 1
 
2.7%
6 1
 
2.7%
7 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 85
87.6%
/ 11
 
11.3%
& 1
 
1.0%
Space Separator
ValueCountFrequency (%)
1434
100.0%
Math Symbol
ValueCountFrequency (%)
+ 781
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10449
77.4%
Common 2488
 
18.4%
Latin 571
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 407
 
3.9%
제 274
 
2.6%
품 232
 
2.2%
장 231
 
2.2%
용 203
 
1.9%
조 199
 
1.9%
전 181
 
1.7%
스 173
 
1.7%
물 161
 
1.5%
공 145
 
1.4%
Other values (519) 8243
78.9%
Latin
ValueCountFrequency (%)
C 72
12.6%
E 63
 
11.0%
L 60
 
10.5%
D 58
 
10.2%
T 36
 
6.3%
V 32
 
5.6%
P 25
 
4.4%
S 19
 
3.3%
e 16
 
2.8%
o 13
 
2.3%
Other values (34) 177
31.0%
Common
ValueCountFrequency (%)
1434
57.6%
+ 781
31.4%
. 85
 
3.4%
( 66
 
2.7%
) 66
 
2.7%
/ 11
 
0.4%
1 8
 
0.3%
0 7
 
0.3%
- 6
 
0.2%
3 5
 
0.2%
Other values (9) 19
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10449
77.4%
ASCII 3059
 
22.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1434
46.9%
+ 781
25.5%
. 85
 
2.8%
C 72
 
2.4%
( 66
 
2.2%
) 66
 
2.2%
E 63
 
2.1%
L 60
 
2.0%
D 58
 
1.9%
T 36
 
1.2%
Other values (53) 338
 
11.0%
Hangul
ValueCountFrequency (%)
기 407
 
3.9%
제 274
 
2.6%
품 232
 
2.2%
장 231
 
2.2%
용 203
 
1.9%
조 199
 
1.9%
전 181
 
1.7%
스 173
 
1.7%
물 161
 
1.5%
공 145
 
1.4%
Other values (519) 8243
78.9%

연락처
Text

MISSING 

Distinct948
Distinct (%)94.0%
Missing217
Missing (%)17.7%
Memory size9.7 KiB
2024-03-15T04:00:32.282875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052579
Min length9

Characters and Unicode

Total characters12149
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

Unique895 ?
Unique (%)88.8%

Sample

1st row063-219-0339
2nd row063-255-6794
3rd row063-287-2617
4th row063-274-4684
5th row063-251-0604
ValueCountFrequency (%)
063-214-1691 3
 
0.3%
063-214-1184 3
 
0.3%
063-286-3134 3
 
0.3%
063-545-3353 3
 
0.3%
063-214-9134 3
 
0.3%
063-214-4005 3
 
0.3%
063-214-9911 3
 
0.3%
063-212-9075 2
 
0.2%
063-905-5378 2
 
0.2%
063-282-1425 2
 
0.2%
Other values (938) 981
97.3%
2024-03-15T04:00:33.724556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2011
16.6%
0 1736
14.3%
2 1623
13.4%
3 1461
12.0%
6 1368
11.3%
1 1109
9.1%
4 668
 
5.5%
7 616
 
5.1%
5 606
 
5.0%
8 547
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10138
83.4%
Dash Punctuation 2011
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1736
17.1%
2 1623
16.0%
3 1461
14.4%
6 1368
13.5%
1 1109
10.9%
4 668
 
6.6%
7 616
 
6.1%
5 606
 
6.0%
8 547
 
5.4%
9 404
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 2011
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12149
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2011
16.6%
0 1736
14.3%
2 1623
13.4%
3 1461
12.0%
6 1368
11.3%
1 1109
9.1%
4 668
 
5.5%
7 616
 
5.1%
5 606
 
5.0%
8 547
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12149
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2011
16.6%
0 1736
14.3%
2 1623
13.4%
3 1461
12.0%
6 1368
11.3%
1 1109
9.1%
4 668
 
5.5%
7 616
 
5.1%
5 606
 
5.0%
8 547
 
4.5%

공장면적
Real number (ℝ)

SKEWED 

Distinct1018
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1293.9356
Minimum0
Maximum288615.54
Zeros4
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size10.9 KiB
2024-03-15T04:00:34.139592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49.68
Q1137.59
median309.8
Q3499.2
95-th percentile3139.572
Maximum288615.54
Range288615.54
Interquartile range (IQR)361.61

Descriptive statistics

Standard deviation10964.293
Coefficient of variation (CV)8.4736007
Kurtosis560.42431
Mean1293.9356
Median Absolute Deviation (MAD)184.45
Skewness22.995587
Sum1585071.1
Variance1.2021573 × 108
MonotonicityNot monotonic
2024-03-15T04:00:34.581613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 10
 
0.8%
84.0 9
 
0.7%
106.33 9
 
0.7%
100.0 7
 
0.6%
72.6 7
 
0.6%
155.06 6
 
0.5%
66.0 6
 
0.5%
80.0 6
 
0.5%
50.6 5
 
0.4%
100.15 5
 
0.4%
Other values (1008) 1155
94.3%
ValueCountFrequency (%)
0.0 4
0.3%
17.0 1
 
0.1%
18.0 2
0.2%
20.0 3
0.2%
21.0 1
 
0.1%
22.0 1
 
0.1%
23.0 2
0.2%
25.0 1
 
0.1%
25.35 1
 
0.1%
28.0 2
0.2%
ValueCountFrequency (%)
288615.536 1
0.1%
237201.645 1
0.1%
37580.03 1
0.1%
33785.54 1
0.1%
33698.243 1
0.1%
27301.47 1
0.1%
25529.65 1
0.1%
24484.735 1
0.1%
22748.18 1
0.1%
18430.12 1
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.7 KiB
2024-01-11
1225 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-11
2nd row2024-01-11
3rd row2024-01-11
4th row2024-01-11
5th row2024-01-11

Common Values

ValueCountFrequency (%)
2024-01-11 1225
100.0%

Length

2024-03-15T04:00:35.014074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:00:35.320905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-11 1225
100.0%

Interactions

2024-03-15T04:00:12.554064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:00:35.494193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명공장면적
단지명1.0000.202
공장면적0.2021.000
2024-03-15T04:00:35.726218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공장면적단지명
공장면적1.0000.140
단지명0.1401.000

Missing values

2024-03-15T04:00:13.179523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:00:13.660866image/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.
2024-03-15T04:00:14.133713image/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

단지명공장명도로명주소지번주소업종명생산품명연락처공장면적데이터기준일자
0덕진구 개별입지(사)캠틱종합기술원전북특별자치도 전주시 덕진구 유상로 67, 전주첨단벤처단지 6 (팔복동2가)전북특별자치도 전주시 덕진구 팔복동2가 750-1번지 전주첨단벤처단지 6동절삭가공 및 유사처리업 외 7 종자동차부품 등063-219-0339904.562024-01-11
1덕진구 개별입지(유) 명원전북특별자치도 전주시 덕진구 신흥안길 55-55, 주2동(고랑동)전북특별자치도 전주시 덕진구 고랑동 290-1 주2동구조용 금속 판제품 및 공작물 제조업 외 3 종버스승강장+ 디장인형울타리+ 알루미늄제교량난간+ 볼라드+ 자전거보관대+ 교량이음장치+ 이동식초소+ 이동식화장실+ 안내판 등063-255-6794197.72024-01-11
2덕진구 개별입지(유) 세화테크전북특별자치도 전주시 덕진구 삼거1길 68 (금상동)전북특별자치도 전주시 덕진구 금상동 523-7번지기타 구조용 금속제품 제조업 외 4 종지하수 상부 보호공063-287-2617180.02024-01-11
3덕진구 개별입지(유) 시원전북특별자치도 전주시 덕진구 정여립로 1115, 5층, 501호 (만성동)전북특별자치도 전주시 덕진구 만성동 1345-5번지 5층, 501호방송장비 제조업 외 1 종폐쇄회로 카메라+ 구내방송장치+ 무선통신장비063-274-4684301.52024-01-11
4덕진구 개별입지(유) 전주건업전북특별자치도 전주시 덕진구 덕촌길 29 (팔복동3가)전북특별자치도 전주시 덕진구 팔복동3가 132-2번지구조용 금속 판제품 및 공작물 제조업 외 3 종금속제 패널+ 합성수지제 창+ 금속제 창+ 청정부스063-251-0604638.052024-01-11
5덕진구 개별입지(유)가안인싸이트전북특별자치도 전주시 덕진구 삼례로 145-3 (화전동)전북특별자치도 전주시 덕진구 화전동 54-7번지그 외 기타 달리 분류되지 않은 제품 제조업 외 4 종실물모형063-226-9652259.422024-01-11
6덕진구 개별입지(유)거동건설전북특별자치도 전주시 덕진구 신성길 82 (성덕동)전북특별자치도 전주시 덕진구 성덕동 172-10번지구조용 금속 판제품 및 공작물 제조업구조물 금속판제품 및 공작물제조업063-214-9604371.192024-01-11
7덕진구 개별입지(유)거상이엔지전북특별자치도 전주시 덕진구 원화전1길 57-62, 외2필지 (반월동)전북특별자치도 전주시 덕진구 반월동 31-1번지육상 금속 골조 구조재 제조업 외 1 종산업용 금속구조물063-212-9054494.52024-01-11
8덕진구 개별입지(유)건우창호건설전북특별자치도 전주시 덕진구 기린대로 959 (여의동)전북특별자치도 전주시 덕진구 여의동 562-7번지플라스틱 창호 제조업 외 1 종창호제품063-213-3365341.462024-01-11
9덕진구 개별입지(유)고양산업전북특별자치도 전주시 덕진구 감수길 10-42 (팔복동4가)전북특별자치도 전주시 덕진구 팔복동4가 180-11번지아스팔트 콘크리트 및 혼합제품 제조업아스콘063-212-8300856.232024-01-11
단지명공장명도로명주소지번주소업종명생산품명연락처공장면적데이터기준일자
1215친환경복합산업단지(1단계)제일기계산업전북특별자치도 전주시 덕진구 원만성로 134 (팔복동2가)전북특별자치도 전주시 덕진구 팔복동2가 830-5번지유압기기 제조업 외 1 종유압실린더063-211-8152583.432024-01-11
1216친환경복합산업단지(1단계)조이큐브전북특별자치도 전주시 덕진구 반룡로 85 (팔복동2가)전북특별자치도 전주시 덕진구 팔복동2가 838-2번지산업용 로봇 제조업모션시스템063-228-97002164.932024-01-11
1217친환경복합산업단지(1단계)주식회사 에이원푸드전북특별자치도 전주시 덕진구 팔복동2가 832-1번지전북특별자치도 전주시 덕진구 팔복동2가 832-1번지육류 기타 가공 및 저장처리업 (가금류 제외) 외 1 종육류가공및저장처리업063-278-1419429.02024-01-11
1218친환경복합산업단지(1단계)주식회사 카본엑트전북특별자치도 전주시 덕진구 원만성로 106, 한국탄소융합기술원 창업보육센터 104호 (팔복동2가)전북특별자치도 전주시 덕진구 팔복동2가 836-2번지 한국탄소융합기술원 창업보육센터 104호전기용 탄소제품 및 절연제품 제조업 외 1 종탄소 발열선을 이용한 결빙 방지 매트063-213-758591.02024-01-11
1219친환경복합산업단지(1단계)지오레이저전북특별자치도 전주시 덕진구 반룡로 76 (팔복동2가)전북특별자치도 전주시 덕진구 팔복동2가 835-8번지전자 응용 절삭기계 제조업 외 2 종레이저 마킹기070-8225-90552452.092024-01-11
1220친환경복합산업단지(1단계)카본플레이(주)전북특별자치도 전주시 덕진구 원만성로 106, 창업보육센터 317호 (팔복동2가)전북특별자치도 전주시 덕진구 팔복동2가 836-2번지 창업보육센터 317호탄소섬유 제조업탄소 전자 해금063-286-637353.022024-01-11
1221친환경복합산업단지(1단계)한국에이씨엠전북특별자치도 전주시 덕진구 반룡로 88 (팔복동2가)전북특별자치도 전주시 덕진구 팔복동2가 837-3번지합성수지 및 기타 플라스틱 물질 제조업 외 1 종SMC.SHEET열경화성수지등063-714-43001885.42024-01-11
1222친환경복합산업단지(1단계)한국전력공사전북특별자치도 전주시 덕진구 동산동 748-1번지 외 1필지전북특별자치도 전주시 덕진구 동산동 748-1번지 외 1필지송전 및 배전업송전 및 배전063-240-58972262.322024-01-11
1223친환경복합산업단지(1단계)한일섬유전북특별자치도 전주시 덕진구 기린대로 880 (동산동)전북특별자치도 전주시 덕진구 동산동 759번지속옷 및 잠옷 제조업 외 11 종내의류063-212-5967488.92024-01-11
1224친환경복합산업단지(1단계)효성첨단소재(주) 전주공장전북특별자치도 전주시 덕진구 기린대로 886 (동산동) 외 4필지전북특별자치도 전주시 덕진구 동산동 748번지 외 4필지탄소섬유 제조업 외 1 종탄소섬유063-281-542133698.2432024-01-11