Overview

Dataset statistics

Number of variables6
Number of observations6219
Missing cells3617
Missing cells (%)9.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory297.7 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Text5

Dataset

Description전북특별자치도 내 공장현황 데이터입니다.주소, 대표자, 업종명, 회사명 등을 제공하고, 공장 등록 정보도 제공하고 있습니다.
Author전북특별자치도
URLhttps://www.data.go.kr/data/15022405/fileData.do

Alerts

단지명 has 3588 (57.7%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 21:07:51.496210
Analysis finished2024-03-14 21:07:54.648538
Duration3.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct6219
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3110
Minimum1
Maximum6219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.8 KiB
2024-03-15T06:07:54.888134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile311.9
Q11555.5
median3110
Q34664.5
95-th percentile5908.1
Maximum6219
Range6218
Interquartile range (IQR)3109

Descriptive statistics

Standard deviation1795.415
Coefficient of variation (CV)0.57730386
Kurtosis-1.2
Mean3110
Median Absolute Deviation (MAD)1555
Skewness0
Sum19341090
Variance3223515
MonotonicityStrictly increasing
2024-03-15T06:07:55.337704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4132 1
 
< 0.1%
4154 1
 
< 0.1%
4153 1
 
< 0.1%
4152 1
 
< 0.1%
4151 1
 
< 0.1%
4150 1
 
< 0.1%
4149 1
 
< 0.1%
4148 1
 
< 0.1%
4147 1
 
< 0.1%
Other values (6209) 6209
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6219 1
< 0.1%
6218 1
< 0.1%
6217 1
< 0.1%
6216 1
< 0.1%
6215 1
< 0.1%
6214 1
< 0.1%
6213 1
< 0.1%
6212 1
< 0.1%
6211 1
< 0.1%
6210 1
< 0.1%

회사명
Text

Distinct5909
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size48.7 KiB
2024-03-15T06:07:56.191801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length7.4687249
Min length1

Characters and Unicode

Total characters46448
Distinct characters724
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5626 ?
Unique (%)90.5%

Sample

1st row호남제재소
2nd row영농조합법인 부성
3rd row주식회사 하다
4th row복석산업(주)
5th row농업회사법인농협양곡(주)
ValueCountFrequency (%)
주식회사 389
 
5.4%
유한회사 147
 
2.0%
농업회사법인 104
 
1.4%
영농조합법인 52
 
0.7%
제2공장 19
 
0.3%
군산공장 17
 
0.2%
전주공장 16
 
0.2%
2공장 15
 
0.2%
주 14
 
0.2%
유 13
 
0.2%
Other values (6003) 6482
89.2%
2024-03-15T06:07:57.656811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 3237
 
7.0%
( 3229
 
7.0%
주 3137
 
6.8%
유 1173
 
2.5%
업 1146
 
2.5%
사 1117
 
2.4%
1061
 
2.3%
산 1020
 
2.2%
이 985
 
2.1%
회 878
 
1.9%
Other values (714) 29465
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38313
82.5%
Close Punctuation 3237
 
7.0%
Open Punctuation 3229
 
7.0%
Space Separator 1061
 
2.3%
Uppercase Letter 373
 
0.8%
Decimal Number 104
 
0.2%
Other Punctuation 89
 
0.2%
Lowercase Letter 34
 
0.1%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3137
 
8.2%
유 1173
 
3.1%
업 1146
 
3.0%
사 1117
 
2.9%
산 1020
 
2.7%
이 985
 
2.6%
회 878
 
2.3%
식 735
 
1.9%
스 714
 
1.9%
인 642
 
1.7%
Other values (657) 26766
69.9%
Uppercase Letter
ValueCountFrequency (%)
E 41
 
11.0%
N 33
 
8.8%
G 33
 
8.8%
C 29
 
7.8%
S 22
 
5.9%
O 20
 
5.4%
B 19
 
5.1%
K 18
 
4.8%
T 18
 
4.8%
A 17
 
4.6%
Other values (16) 123
33.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
14.7%
c 5
14.7%
t 4
11.8%
a 3
8.8%
o 3
8.8%
s 2
 
5.9%
r 2
 
5.9%
d 2
 
5.9%
x 1
 
2.9%
f 1
 
2.9%
Other values (6) 6
17.6%
Decimal Number
ValueCountFrequency (%)
2 66
63.5%
1 22
 
21.2%
3 9
 
8.7%
5 4
 
3.8%
6 2
 
1.9%
8 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
* 37
41.6%
. 32
36.0%
& 15
16.9%
, 4
 
4.5%
/ 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 3237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3229
100.0%
Space Separator
ValueCountFrequency (%)
1061
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38313
82.5%
Common 7728
 
16.6%
Latin 407
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3137
 
8.2%
유 1173
 
3.1%
업 1146
 
3.0%
사 1117
 
2.9%
산 1020
 
2.7%
이 985
 
2.6%
회 878
 
2.3%
식 735
 
1.9%
스 714
 
1.9%
인 642
 
1.7%
Other values (657) 26766
69.9%
Latin
ValueCountFrequency (%)
E 41
 
10.1%
N 33
 
8.1%
G 33
 
8.1%
C 29
 
7.1%
S 22
 
5.4%
O 20
 
4.9%
B 19
 
4.7%
K 18
 
4.4%
T 18
 
4.4%
A 17
 
4.2%
Other values (32) 157
38.6%
Common
ValueCountFrequency (%)
) 3237
41.9%
( 3229
41.8%
1061
 
13.7%
2 66
 
0.9%
* 37
 
0.5%
. 32
 
0.4%
1 22
 
0.3%
& 15
 
0.2%
3 9
 
0.1%
- 8
 
0.1%
Other values (5) 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38313
82.5%
ASCII 8135
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 3237
39.8%
( 3229
39.7%
1061
 
13.0%
2 66
 
0.8%
E 41
 
0.5%
* 37
 
0.5%
N 33
 
0.4%
G 33
 
0.4%
. 32
 
0.4%
C 29
 
0.4%
Other values (47) 337
 
4.1%
Hangul
ValueCountFrequency (%)
주 3137
 
8.2%
유 1173
 
3.1%
업 1146
 
3.0%
사 1117
 
2.9%
산 1020
 
2.7%
이 985
 
2.6%
회 878
 
2.3%
식 735
 
1.9%
스 714
 
1.9%
인 642
 
1.7%
Other values (657) 26766
69.9%

단지명
Text

MISSING 

Distinct81
Distinct (%)3.1%
Missing3588
Missing (%)57.7%
Memory size48.7 KiB
2024-03-15T06:07:58.713713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length8.9391866
Min length6

Characters and Unicode

Total characters23519
Distinct characters123
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.2%

Sample

1st row전주제1지방산업단지
2nd row군산지방산업단지
3rd row완주이서농공단지
4th row군산지방산업단지
5th row정읍북면농공단지
ValueCountFrequency (%)
군산2국가산업단지 399
 
15.1%
익산국가산업단지 207
 
7.8%
익산제2지방산업단지 186
 
7.0%
군산국가산업단지 159
 
6.0%
전주과학산업연구단지 139
 
5.3%
전주제1지방산업단지 132
 
5.0%
완주산업단지 90
 
3.4%
군산지방산업단지 67
 
2.5%
정읍제2지방산업단지 66
 
2.5%
정읍제3지방산업단지 58
 
2.2%
Other values (72) 1140
43.1%
2024-03-15T06:08:00.047659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3226
13.7%
산 3125
 
13.3%
단 2658
 
11.3%
업 1727
 
7.3%
농 833
 
3.5%
공 833
 
3.5%
제 783
 
3.3%
가 775
 
3.3%
국 771
 
3.3%
군 763
 
3.2%
Other values (113) 8025
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22403
95.3%
Decimal Number 1026
 
4.4%
Close Punctuation 38
 
0.2%
Open Punctuation 38
 
0.2%
Space Separator 12
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3226
14.4%
산 3125
13.9%
단 2658
 
11.9%
업 1727
 
7.7%
농 833
 
3.7%
공 833
 
3.7%
제 783
 
3.5%
가 775
 
3.5%
국 771
 
3.4%
군 763
 
3.4%
Other values (106) 6909
30.8%
Decimal Number
ValueCountFrequency (%)
2 762
74.3%
1 172
 
16.8%
3 92
 
9.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22403
95.3%
Common 1116
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3226
14.4%
산 3125
13.9%
단 2658
 
11.9%
업 1727
 
7.7%
농 833
 
3.7%
공 833
 
3.7%
제 783
 
3.5%
가 775
 
3.5%
국 771
 
3.4%
군 763
 
3.4%
Other values (106) 6909
30.8%
Common
ValueCountFrequency (%)
2 762
68.3%
1 172
 
15.4%
3 92
 
8.2%
) 38
 
3.4%
( 38
 
3.4%
12
 
1.1%
- 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22403
95.3%
ASCII 1116
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3226
14.4%
산 3125
13.9%
단 2658
 
11.9%
업 1727
 
7.7%
농 833
 
3.7%
공 833
 
3.7%
제 783
 
3.5%
가 775
 
3.5%
국 771
 
3.4%
군 763
 
3.4%
Other values (106) 6909
30.8%
ASCII
ValueCountFrequency (%)
2 762
68.3%
1 172
 
15.4%
3 92
 
8.2%
) 38
 
3.4%
( 38
 
3.4%
12
 
1.1%
- 2
 
0.2%

대표자명
Text

Distinct2321
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size48.7 KiB
2024-03-15T06:08:01.598810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.1252613
Min length2

Characters and Unicode

Total characters19436
Distinct characters292
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1338 ?
Unique (%)21.5%

Sample

1st row한*석
2nd row오*만
3rd row하*우
4th row진*섭
5th row조*형
ValueCountFrequency (%)
김*수 82
 
1.3%
김*호 40
 
0.6%
김*희 39
 
0.6%
이*수 37
 
0.6%
김*영 36
 
0.6%
김*식 36
 
0.6%
김*철 36
 
0.6%
김*환 36
 
0.6%
박*수 35
 
0.5%
김*진 35
 
0.5%
Other values (2241) 5976
93.6%
2024-03-15T06:08:03.649263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6384
32.8%
김 1391
 
7.2%
이 935
 
4.8%
박 494
 
2.5%
정 347
 
1.8%
수 306
 
1.6%
최 298
 
1.5%
호 251
 
1.3%
진 201
 
1.0%
조 199
 
1.0%
Other values (282) 8630
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12715
65.4%
Other Punctuation 6521
33.6%
Space Separator 169
 
0.9%
Decimal Number 17
 
0.1%
Uppercase Letter 10
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1391
 
10.9%
이 935
 
7.4%
박 494
 
3.9%
정 347
 
2.7%
수 306
 
2.4%
최 298
 
2.3%
호 251
 
2.0%
진 201
 
1.6%
조 199
 
1.6%
석 183
 
1.4%
Other values (269) 8110
63.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
30.0%
N 2
20.0%
G 2
20.0%
B 1
 
10.0%
E 1
 
10.0%
J 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 6384
97.9%
, 137
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 15
88.2%
2 2
 
11.8%
Space Separator
ValueCountFrequency (%)
169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12713
65.4%
Common 6711
34.5%
Latin 10
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1391
 
10.9%
이 935
 
7.4%
박 494
 
3.9%
정 347
 
2.7%
수 306
 
2.4%
최 298
 
2.3%
호 251
 
2.0%
진 201
 
1.6%
조 199
 
1.6%
석 183
 
1.4%
Other values (267) 8108
63.8%
Common
ValueCountFrequency (%)
* 6384
95.1%
169
 
2.5%
, 137
 
2.0%
1 15
 
0.2%
2 2
 
< 0.1%
( 2
 
< 0.1%
) 2
 
< 0.1%
Latin
ValueCountFrequency (%)
A 3
30.0%
N 2
20.0%
G 2
20.0%
B 1
 
10.0%
E 1
 
10.0%
J 1
 
10.0%
Han
ValueCountFrequency (%)
嗣 1
50.0%
三 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12713
65.4%
ASCII 6721
34.6%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6384
95.0%
169
 
2.5%
, 137
 
2.0%
1 15
 
0.2%
A 3
 
< 0.1%
N 2
 
< 0.1%
G 2
 
< 0.1%
2 2
 
< 0.1%
( 2
 
< 0.1%
) 2
 
< 0.1%
Other values (3) 3
 
< 0.1%
Hangul
ValueCountFrequency (%)
김 1391
 
10.9%
이 935
 
7.4%
박 494
 
3.9%
정 347
 
2.7%
수 306
 
2.4%
최 298
 
2.3%
호 251
 
2.0%
진 201
 
1.6%
조 199
 
1.6%
석 183
 
1.4%
Other values (267) 8108
63.8%
CJK
ValueCountFrequency (%)
嗣 1
50.0%
三 1
50.0%

공장대표주소
Text

Distinct5664
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size48.7 KiB
2024-03-15T06:08:05.107456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length60
Mean length28.080238
Min length15

Characters and Unicode

Total characters174631
Distinct characters629
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5247 ?
Unique (%)84.4%

Sample

1st row전라북도 익산시 인화동2가 63번지
2nd row전라북도 익산시 왕궁면 쌍제1길 45 (총 3 필지)
3rd row전라북도 익산시 여산면 가람로 52-18
4th row전라북도 익산시 황등면 황등리 87번지
5th row전라북도 익산시 함열읍 함낭로 428
ValueCountFrequency (%)
전라북도 6219
 
17.1%
익산시 1343
 
3.7%
군산시 1054
 
2.9%
전주시 877
 
2.4%
덕진구 700
 
1.9%
김제시 661
 
1.8%
완주군 521
 
1.4%
정읍시 495
 
1.4%
오식도동 393
 
1.1%
총 351
 
1.0%
Other values (7070) 23851
65.4%
2024-03-15T06:08:06.894677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30624
 
17.5%
전 7445
 
4.3%
도 6819
 
3.9%
북 6771
 
3.9%
라 6311
 
3.6%
1 5189
 
3.0%
시 4869
 
2.8%
( 4668
 
2.7%
) 4665
 
2.7%
산 4652
 
2.7%
Other values (619) 92618
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104946
60.1%
Space Separator 30624
 
17.5%
Decimal Number 24543
 
14.1%
Open Punctuation 4675
 
2.7%
Close Punctuation 4672
 
2.7%
Dash Punctuation 2568
 
1.5%
Other Punctuation 1878
 
1.1%
Uppercase Letter 396
 
0.2%
Other Symbol 296
 
0.2%
Lowercase Letter 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 7445
 
7.1%
도 6819
 
6.5%
북 6771
 
6.5%
라 6311
 
6.0%
시 4869
 
4.6%
산 4652
 
4.4%
동 4043
 
3.9%
로 3261
 
3.1%
길 2769
 
2.6%
면 2646
 
2.5%
Other values (557) 55360
52.8%
Uppercase Letter
ValueCountFrequency (%)
S 49
12.4%
T 47
11.9%
A 36
 
9.1%
E 32
 
8.1%
C 27
 
6.8%
B 24
 
6.1%
M 24
 
6.1%
D 23
 
5.8%
R 19
 
4.8%
Y 19
 
4.8%
Other values (12) 96
24.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
13.3%
s 4
13.3%
o 3
10.0%
h 3
10.0%
i 3
10.0%
c 2
 
6.7%
k 2
 
6.7%
v 1
 
3.3%
y 1
 
3.3%
a 1
 
3.3%
Other values (6) 6
20.0%
Decimal Number
ValueCountFrequency (%)
1 5189
21.1%
2 3932
16.0%
3 3029
12.3%
4 2190
8.9%
5 2024
 
8.2%
6 1923
 
7.8%
7 1647
 
6.7%
0 1599
 
6.5%
8 1568
 
6.4%
9 1442
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 1818
96.8%
& 20
 
1.1%
. 18
 
1.0%
* 11
 
0.6%
/ 10
 
0.5%
· 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4668
99.9%
[ 7
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4665
99.9%
] 7
 
0.1%
Space Separator
ValueCountFrequency (%)
30624
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2568
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 296
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105242
60.3%
Common 68963
39.5%
Latin 426
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 7445
 
7.1%
도 6819
 
6.5%
북 6771
 
6.4%
라 6311
 
6.0%
시 4869
 
4.6%
산 4652
 
4.4%
동 4043
 
3.8%
로 3261
 
3.1%
길 2769
 
2.6%
면 2646
 
2.5%
Other values (558) 55656
52.9%
Latin
ValueCountFrequency (%)
S 49
 
11.5%
T 47
 
11.0%
A 36
 
8.5%
E 32
 
7.5%
C 27
 
6.3%
B 24
 
5.6%
M 24
 
5.6%
D 23
 
5.4%
R 19
 
4.5%
Y 19
 
4.5%
Other values (28) 126
29.6%
Common
ValueCountFrequency (%)
30624
44.4%
1 5189
 
7.5%
( 4668
 
6.8%
) 4665
 
6.8%
2 3932
 
5.7%
3 3029
 
4.4%
- 2568
 
3.7%
4 2190
 
3.2%
5 2024
 
2.9%
6 1923
 
2.8%
Other values (13) 8151
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104946
60.1%
ASCII 69388
39.7%
None 297
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30624
44.1%
1 5189
 
7.5%
( 4668
 
6.7%
) 4665
 
6.7%
2 3932
 
5.7%
3 3029
 
4.4%
- 2568
 
3.7%
4 2190
 
3.2%
5 2024
 
2.9%
6 1923
 
2.8%
Other values (50) 8576
 
12.4%
Hangul
ValueCountFrequency (%)
전 7445
 
7.1%
도 6819
 
6.5%
북 6771
 
6.5%
라 6311
 
6.0%
시 4869
 
4.6%
산 4652
 
4.4%
동 4043
 
3.9%
로 3261
 
3.1%
길 2769
 
2.6%
면 2646
 
2.5%
Other values (557) 55360
52.8%
None
ValueCountFrequency (%)
㈜ 296
99.7%
· 1
 
0.3%

업종명
Text

Distinct1107
Distinct (%)17.9%
Missing29
Missing (%)0.5%
Memory size48.7 KiB
2024-03-15T06:08:08.207352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length15.717447
Min length3

Characters and Unicode

Total characters97291
Distinct characters339
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique537 ?
Unique (%)8.7%

Sample

1st row일반 제재업
2nd row기타 비료 및 질소화합물 제조업
3rd row농업 및 임업용 기계 제조업
4th row건설용 석제품 제조업 외 1 종
5th row곡물 도정업
ValueCountFrequency (%)
제조업 5081
 
16.9%
및 2916
 
9.7%
외 1882
 
6.3%
종 1882
 
6.3%
기타 1575
 
5.3%
1 1009
 
3.4%
그외 552
 
1.8%
2 334
 
1.1%
자동차 324
 
1.1%
부품 322
 
1.1%
Other values (697) 14104
47.0%
2024-03-15T06:08:09.945337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23799
24.5%
제 6873
 
7.1%
업 6468
 
6.6%
조 6171
 
6.3%
및 2925
 
3.0%
기 2844
 
2.9%
외 2441
 
2.5%
품 2227
 
2.3%
종 1956
 
2.0%
용 1716
 
1.8%
Other values (329) 39871
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70775
72.7%
Space Separator 23799
 
24.5%
Decimal Number 1985
 
2.0%
Other Punctuation 732
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 6873
 
9.7%
업 6468
 
9.1%
조 6171
 
8.7%
및 2925
 
4.1%
기 2844
 
4.0%
외 2441
 
3.4%
품 2227
 
3.1%
종 1956
 
2.8%
용 1716
 
2.4%
타 1702
 
2.4%
Other values (315) 35452
50.1%
Decimal Number
ValueCountFrequency (%)
1 1116
56.2%
2 349
 
17.6%
3 197
 
9.9%
4 101
 
5.1%
5 79
 
4.0%
6 55
 
2.8%
7 37
 
1.9%
8 21
 
1.1%
9 18
 
0.9%
0 12
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 626
85.5%
· 94
 
12.8%
* 12
 
1.6%
Space Separator
ValueCountFrequency (%)
23799
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70775
72.7%
Common 26516
 
27.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 6873
 
9.7%
업 6468
 
9.1%
조 6171
 
8.7%
및 2925
 
4.1%
기 2844
 
4.0%
외 2441
 
3.4%
품 2227
 
3.1%
종 1956
 
2.8%
용 1716
 
2.4%
타 1702
 
2.4%
Other values (315) 35452
50.1%
Common
ValueCountFrequency (%)
23799
89.8%
1 1116
 
4.2%
, 626
 
2.4%
2 349
 
1.3%
3 197
 
0.7%
4 101
 
0.4%
· 94
 
0.4%
5 79
 
0.3%
6 55
 
0.2%
7 37
 
0.1%
Other values (4) 63
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70775
72.7%
ASCII 26422
 
27.2%
None 94
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23799
90.1%
1 1116
 
4.2%
, 626
 
2.4%
2 349
 
1.3%
3 197
 
0.7%
4 101
 
0.4%
5 79
 
0.3%
6 55
 
0.2%
7 37
 
0.1%
8 21
 
0.1%
Other values (3) 42
 
0.2%
Hangul
ValueCountFrequency (%)
제 6873
 
9.7%
업 6468
 
9.1%
조 6171
 
8.7%
및 2925
 
4.1%
기 2844
 
4.0%
외 2441
 
3.4%
품 2227
 
3.1%
종 1956
 
2.8%
용 1716
 
2.4%
타 1702
 
2.4%
Other values (315) 35452
50.1%
None
ValueCountFrequency (%)
· 94
100.0%

Interactions

2024-03-15T06:07:53.358862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T06:08:10.210534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호단지명
번호1.0000.197
단지명0.1971.000

Missing values

2024-03-15T06:07:53.910486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:07:54.202084image/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.
2024-03-15T06:07:54.505694image/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

번호회사명단지명대표자명공장대표주소업종명
01호남제재소<NA>한*석전라북도 익산시 인화동2가 63번지일반 제재업
12영농조합법인 부성<NA>오*만전라북도 익산시 왕궁면 쌍제1길 45 (총 3 필지)기타 비료 및 질소화합물 제조업
23주식회사 하다<NA>하*우전라북도 익산시 여산면 가람로 52-18농업 및 임업용 기계 제조업
34복석산업(주)<NA>진*섭전라북도 익산시 황등면 황등리 87번지건설용 석제품 제조업 외 1 종
45농업회사법인농협양곡(주)<NA>조*형전라북도 익산시 함열읍 함낭로 428곡물 도정업
56석교정미소<NA>임*명전라북도 군산시 옥산면 당북리 46-24번지곡물 도정업
67주식회사 티디씨전력기술<NA>한*철전라북도 완주군 이서면 콩쥐팥쥐로 1040-94기타 발전기 및 전기변환장치 제조업 외 6 종
78도로시설산업<NA>조*근전라북도 정읍시 영원면 풍지길 209 (한진태크)기타 석제품 제조업
89경동흥업(주)전주제1공장전주제1지방산업단지한*성전라북도 전주시 덕진구 기린대로 711 (팔복동2가)내의 및 잠옷 제조업
910(주)동양/건재부문 군산공장군산지방산업단지박*병전라북도 군산시 외항로 466 (소룡동, 금강물류) (총 5 필지)레미콘 제조업 외 1 종
번호회사명단지명대표자명공장대표주소업종명
62096210유한회사 하나석재<NA>오*행전라북도 익산시 함열읍 미륵사지로 1098건설용 석제품 제조업
62106211목운공예사<NA>박*실전라북도 남원시 요천로 1230-9 (조산동, 목운공예사)주방용 및 식탁용 목제품 제조업
62116212(유)동우바이오텍<NA>이*규전라북도 익산시 왕궁면 흥암길 124 (주택) (총 2 필지)기타 비료 및 질소화합물 제조업
62126213대경전선공업(주)<NA>김*학전라북도 익산시 황등면 탑천로 147기타 절연선 및 케이블 제조업
62136214*리기업<NA>임*준전라북도 익산시 함열읍 박전길 43-5 (정동석재) (총 2 필지)콘크리트 타일, 기와, 벽돌 및 블록 제조업
62146215정읍내장산식품<NA>하*호전라북도 정읍시 덕천면 태고로 450 (상일기업)과실 및 채소 절임식품 제조업
62156216명성산업<NA>김*심전라북도 군산시 대야면 덕곡길 28-12 (명성기기)가공 및 재생 플라스틱원료 생산업 외 1 종
62166217(주)하모니인테리어<NA>전*성전라북도 남원시 금지면 금지순환길 633-65 (녹주맥반석)가정용 및 장식용 도자기 제조업
62176218남영석재<NA>이*순전라북도 김제시 백구면 학동2길 51 (남영석재) (총 6 필지)건설용 석제품 제조업 외 1 종
62186219화진직물<NA>조*순전라북도 정읍시 입암면 접지중앙길 156<NA>