Overview

Dataset statistics

Number of variables9
Number of observations212
Missing cells22
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory72.6 B

Variable types

Unsupported1
Text5
Categorical3

Alerts

Unnamed: 2 is highly overall correlated with Unnamed: 8High correlation
Unnamed: 8 is highly overall correlated with Unnamed: 2High correlation
Unnamed: 4 has 17 (8.0%) missing valuesMissing
전북 뿌리기업 현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:31:59.344182
Analysis finished2024-03-14 01:32:00.152814
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

전북 뿌리기업 현황
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.5%
Memory size1.8 KiB

Unnamed: 1
Text

Distinct211
Distinct (%)100.0%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2024-03-14T10:32:00.361567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.0379147
Min length2

Characters and Unicode

Total characters1485
Distinct characters223
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)100.0%

Sample

1st row회사명
2nd row(주)신동아
3rd row(주)에이치아이티오토모티브
4th row대운산업
5th row(주)지에스엠
ValueCountFrequency (%)
주식회사 3
 
1.4%
군산공장 2
 
0.9%
전주공장 2
 
0.9%
주)세창 1
 
0.5%
경진기계 1
 
0.5%
주)카이로라이트 1
 
0.5%
현대기계 1
 
0.5%
주)퓨즈본드코리아 1
 
0.5%
주)다송케미스타 1
 
0.5%
유)아성이엔지 1
 
0.5%
Other values (208) 208
93.7%
2024-03-14T10:32:00.718330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 147
 
9.9%
( 147
 
9.9%
주 144
 
9.7%
이 46
 
3.1%
에 29
 
2.0%
업 26
 
1.8%
스 25
 
1.7%
산 24
 
1.6%
아 24
 
1.6%
유 23
 
1.5%
Other values (213) 850
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1159
78.0%
Close Punctuation 147
 
9.9%
Open Punctuation 147
 
9.9%
Uppercase Letter 13
 
0.9%
Space Separator 11
 
0.7%
Other Symbol 6
 
0.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 144
 
12.4%
이 46
 
4.0%
에 29
 
2.5%
업 26
 
2.2%
스 25
 
2.2%
산 24
 
2.1%
아 24
 
2.1%
유 23
 
2.0%
지 23
 
2.0%
크 22
 
1.9%
Other values (198) 773
66.7%
Uppercase Letter
ValueCountFrequency (%)
E 3
23.1%
N 2
15.4%
I 1
 
7.7%
M 1
 
7.7%
D 1
 
7.7%
R 1
 
7.7%
S 1
 
7.7%
J 1
 
7.7%
G 1
 
7.7%
B 1
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 147
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1165
78.5%
Common 307
 
20.7%
Latin 13
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 144
 
12.4%
이 46
 
3.9%
에 29
 
2.5%
업 26
 
2.2%
스 25
 
2.1%
산 24
 
2.1%
아 24
 
2.1%
유 23
 
2.0%
지 23
 
2.0%
크 22
 
1.9%
Other values (199) 779
66.9%
Latin
ValueCountFrequency (%)
E 3
23.1%
N 2
15.4%
I 1
 
7.7%
M 1
 
7.7%
D 1
 
7.7%
R 1
 
7.7%
S 1
 
7.7%
J 1
 
7.7%
G 1
 
7.7%
B 1
 
7.7%
Common
ValueCountFrequency (%)
) 147
47.9%
( 147
47.9%
11
 
3.6%
. 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1159
78.0%
ASCII 320
 
21.5%
None 6
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 147
45.9%
( 147
45.9%
11
 
3.4%
E 3
 
0.9%
. 2
 
0.6%
N 2
 
0.6%
I 1
 
0.3%
M 1
 
0.3%
D 1
 
0.3%
R 1
 
0.3%
Other values (4) 4
 
1.2%
Hangul
ValueCountFrequency (%)
주 144
 
12.4%
이 46
 
4.0%
에 29
 
2.5%
업 26
 
2.2%
스 25
 
2.2%
산 24
 
2.1%
아 24
 
2.1%
유 23
 
2.0%
지 23
 
2.0%
크 22
 
1.9%
Other values (198) 773
66.7%
None
ValueCountFrequency (%)
㈜ 6
100.0%

Unnamed: 2
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
57 
군산2국가산업단지
33 
<NA>
28 
익산제2지방산업단지
19 
군산국가산업단지
17 
Other values (22)
58 

Length

Max length10
Median length8
Mean length6.0707547
Min length1

Unique

Unique11 ?
Unique (%)5.2%

Sample

1st row<NA>
2nd row단지명
3rd row군산2국가산업단지
4th row군산2국가산업단지
5th row군산2국가산업단지

Common Values

ValueCountFrequency (%)
57
26.9%
군산2국가산업단지 33
15.6%
<NA> 28
13.2%
익산제2지방산업단지 19
 
9.0%
군산국가산업단지 17
 
8.0%
완주산업단지 9
 
4.2%
전주과학산업연구단지 8
 
3.8%
전주제1지방산업단지 5
 
2.4%
익산국가산업단지 5
 
2.4%
정읍제2지방산업단지 4
 
1.9%
Other values (17) 27
12.7%

Length

2024-03-14T10:32:00.833585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
군산2국가산업단지 33
21.3%
na 28
18.1%
익산제2지방산업단지 19
12.3%
군산국가산업단지 17
11.0%
완주산업단지 9
 
5.8%
전주과학산업연구단지 8
 
5.2%
전주제1지방산업단지 5
 
3.2%
익산국가산업단지 5
 
3.2%
정읍제2지방산업단지 4
 
2.6%
정읍제3지방산업단지 4
 
2.6%
Other values (16) 23
14.8%

Unnamed: 3
Text

Distinct211
Distinct (%)100.0%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2024-03-14T10:32:01.086516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.1611374
Min length2

Characters and Unicode

Total characters667
Distinct characters145
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

Unique211 ?
Unique (%)100.0%

Sample

1st row대표자명
2nd row김기영
3rd row김현석
4th row장동희
5th row조철용
ValueCountFrequency (%)
김 2
 
0.9%
이연우 1
 
0.5%
김종성 1
 
0.5%
권오령 1
 
0.5%
송일한 1
 
0.5%
소미례 1
 
0.5%
정봉정 1
 
0.5%
윤재호 1
 
0.5%
김석중 1
 
0.5%
노종호 1
 
0.5%
Other values (208) 208
95.0%
2024-03-14T10:32:01.488866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 46
 
6.9%
이 36
 
5.4%
정 20
 
3.0%
박 17
 
2.5%
수 16
 
2.4%
성 14
 
2.1%
진 14
 
2.1%
영 14
 
2.1%
종 13
 
1.9%
규 13
 
1.9%
Other values (135) 464
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 652
97.8%
Space Separator 9
 
1.3%
Other Punctuation 4
 
0.6%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 46
 
7.1%
이 36
 
5.5%
정 20
 
3.1%
박 17
 
2.6%
수 16
 
2.5%
성 14
 
2.1%
진 14
 
2.1%
영 14
 
2.1%
종 13
 
2.0%
규 13
 
2.0%
Other values (132) 449
68.9%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 652
97.8%
Common 15
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 46
 
7.1%
이 36
 
5.5%
정 20
 
3.1%
박 17
 
2.6%
수 16
 
2.5%
성 14
 
2.1%
진 14
 
2.1%
영 14
 
2.1%
종 13
 
2.0%
규 13
 
2.0%
Other values (132) 449
68.9%
Common
ValueCountFrequency (%)
9
60.0%
, 4
26.7%
1 2
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 652
97.8%
ASCII 15
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 46
 
7.1%
이 36
 
5.5%
정 20
 
3.1%
박 17
 
2.6%
수 16
 
2.5%
성 14
 
2.1%
진 14
 
2.1%
영 14
 
2.1%
종 13
 
2.0%
규 13
 
2.0%
Other values (132) 449
68.9%
ASCII
ValueCountFrequency (%)
9
60.0%
, 4
26.7%
1 2
 
13.3%

Unnamed: 4
Text

MISSING 

Distinct194
Distinct (%)99.5%
Missing17
Missing (%)8.0%
Memory size1.8 KiB
2024-03-14T10:32:01.696178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.953846
Min length4

Characters and Unicode

Total characters2331
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)99.0%

Sample

1st row전화번호
2nd row063-463-7326
3rd row032-714-5600
4th row032-561-3674
5th row063-468-0824
ValueCountFrequency (%)
063-468-6363 2
 
1.0%
063-547-7654 1
 
0.5%
063-471-7800 1
 
0.5%
063-460-9901 1
 
0.5%
02-585-2500 1
 
0.5%
063-467-4887 1
 
0.5%
063-466-8504 1
 
0.5%
02-563-9467 1
 
0.5%
063-461-6281 1
 
0.5%
031-497-0303 1
 
0.5%
Other values (184) 184
94.4%
2024-03-14T10:32:02.010695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 388
16.6%
6 350
15.0%
0 338
14.5%
3 334
14.3%
2 166
7.1%
4 156
6.7%
1 156
6.7%
5 137
 
5.9%
8 133
 
5.7%
7 110
 
4.7%
Other values (5) 63
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1939
83.2%
Dash Punctuation 388
 
16.6%
Other Letter 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 350
18.1%
0 338
17.4%
3 334
17.2%
2 166
8.6%
4 156
8.0%
1 156
8.0%
5 137
 
7.1%
8 133
 
6.9%
7 110
 
5.7%
9 59
 
3.0%
Other Letter
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2327
99.8%
Hangul 4
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 388
16.7%
6 350
15.0%
0 338
14.5%
3 334
14.4%
2 166
7.1%
4 156
6.7%
1 156
6.7%
5 137
 
5.9%
8 133
 
5.7%
7 110
 
4.7%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2327
99.8%
Hangul 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 388
16.7%
6 350
15.0%
0 338
14.5%
3 334
14.4%
2 166
7.1%
4 156
6.7%
1 156
6.7%
5 137
 
5.9%
8 133
 
5.7%
7 110
 
4.7%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 5
Text

Distinct194
Distinct (%)91.9%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2024-03-14T10:32:02.219177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.6966825
Min length1

Characters and Unicode

Total characters1835
Distinct characters283
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)88.2%

Sample

1st row생산품
2nd row자동차금형
3rd row프레스금형
4th row자동차부품
5th row금형,산업기계부품
ValueCountFrequency (%)
자동차 15
 
4.3%
자동차부품 13
 
3.7%
금형 12
 
3.5%
부품 9
 
2.6%
도장 9
 
2.6%
및 6
 
1.7%
금속탱크 5
 
1.4%
바이오디젤 4
 
1.2%
프레스금형 4
 
1.2%
산업용 3
 
0.9%
Other values (249) 267
76.9%
2024-03-14T10:32:02.618414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
7.5%
, 85
 
4.6%
품 71
 
3.9%
기 61
 
3.3%
동 56
 
3.1%
자 55
 
3.0%
금 53
 
2.9%
부 50
 
2.7%
차 49
 
2.7%
제 43
 
2.3%
Other values (273) 1175
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1505
82.0%
Space Separator 139
 
7.6%
Other Punctuation 90
 
4.9%
Uppercase Letter 66
 
3.6%
Lowercase Letter 16
 
0.9%
Close Punctuation 9
 
0.5%
Open Punctuation 9
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 71
 
4.7%
기 61
 
4.1%
동 56
 
3.7%
자 55
 
3.7%
금 53
 
3.5%
부 50
 
3.3%
차 49
 
3.3%
제 43
 
2.9%
용 41
 
2.7%
형 37
 
2.5%
Other values (237) 989
65.7%
Uppercase Letter
ValueCountFrequency (%)
P 12
18.2%
L 9
13.6%
E 6
9.1%
A 6
9.1%
R 6
9.1%
C 5
7.6%
D 4
 
6.1%
S 4
 
6.1%
B 2
 
3.0%
G 2
 
3.0%
Other values (8) 10
15.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
s 2
12.5%
i 2
12.5%
l 2
12.5%
n 1
 
6.2%
h 1
 
6.2%
k 1
 
6.2%
r 1
 
6.2%
v 1
 
6.2%
o 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 85
94.4%
. 4
 
4.4%
/ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
137
98.6%
　 2
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1505
82.0%
Common 248
 
13.5%
Latin 82
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 71
 
4.7%
기 61
 
4.1%
동 56
 
3.7%
자 55
 
3.7%
금 53
 
3.5%
부 50
 
3.3%
차 49
 
3.3%
제 43
 
2.9%
용 41
 
2.7%
형 37
 
2.5%
Other values (237) 989
65.7%
Latin
ValueCountFrequency (%)
P 12
14.6%
L 9
 
11.0%
E 6
 
7.3%
A 6
 
7.3%
R 6
 
7.3%
C 5
 
6.1%
D 4
 
4.9%
e 4
 
4.9%
S 4
 
4.9%
s 2
 
2.4%
Other values (18) 24
29.3%
Common
ValueCountFrequency (%)
137
55.2%
, 85
34.3%
) 9
 
3.6%
( 9
 
3.6%
. 4
 
1.6%
　 2
 
0.8%
/ 1
 
0.4%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1505
82.0%
ASCII 328
 
17.9%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
41.8%
, 85
25.9%
P 12
 
3.7%
) 9
 
2.7%
L 9
 
2.7%
( 9
 
2.7%
E 6
 
1.8%
A 6
 
1.8%
R 6
 
1.8%
C 5
 
1.5%
Other values (25) 44
 
13.4%
Hangul
ValueCountFrequency (%)
품 71
 
4.7%
기 61
 
4.1%
동 56
 
3.7%
자 55
 
3.7%
금 53
 
3.5%
부 50
 
3.3%
차 49
 
3.3%
제 43
 
2.9%
용 41
 
2.7%
형 37
 
2.5%
Other values (237) 989
65.7%
None
ValueCountFrequency (%)
　 2
100.0%

Unnamed: 6
Text

Distinct202
Distinct (%)95.7%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2024-03-14T10:32:02.845832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length25.483412
Min length6

Characters and Unicode

Total characters5377
Distinct characters176
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

Unique193 ?
Unique (%)91.5%

Sample

1st row공장대표주소
2nd row전라북도 군산시 산단로 42 (오식도동)
3rd row전라북도 군산시 산단로 42 (오식도동)
4th row전라북도 군산시 동가도길 61 (오식도동)
5th row전라북도 군산시 산단로 42, (재)전북자동차기술원 금형프라자 202호 (오식도동)
ValueCountFrequency (%)
전라북도 210
 
18.2%
군산시 66
 
5.7%
익산시 44
 
3.8%
덕진구 36
 
3.1%
전주시 36
 
3.1%
오식도동 35
 
3.0%
완주군 29
 
2.5%
봉동읍 25
 
2.2%
소룡동 20
 
1.7%
김제시 18
 
1.6%
Other values (373) 634
55.0%
2024-03-14T10:32:03.178246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
943
 
17.5%
도 258
 
4.8%
전 253
 
4.7%
북 234
 
4.4%
라 214
 
4.0%
동 206
 
3.8%
산 183
 
3.4%
시 182
 
3.4%
1 179
 
3.3%
2 129
 
2.4%
Other values (166) 2596
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3253
60.5%
Space Separator 943
 
17.5%
Decimal Number 831
 
15.5%
Close Punctuation 123
 
2.3%
Open Punctuation 123
 
2.3%
Dash Punctuation 83
 
1.5%
Other Punctuation 18
 
0.3%
Uppercase Letter 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 258
 
7.9%
전 253
 
7.8%
북 234
 
7.2%
라 214
 
6.6%
동 206
 
6.3%
산 183
 
5.6%
시 182
 
5.6%
로 118
 
3.6%
군 97
 
3.0%
길 81
 
2.5%
Other values (147) 1427
43.9%
Decimal Number
ValueCountFrequency (%)
1 179
21.5%
2 129
15.5%
3 109
13.1%
4 79
9.5%
8 65
 
7.8%
7 61
 
7.3%
6 57
 
6.9%
0 56
 
6.7%
5 53
 
6.4%
9 43
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
/ 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
943
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3254
60.5%
Common 2121
39.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 258
 
7.9%
전 253
 
7.8%
북 234
 
7.2%
라 214
 
6.6%
동 206
 
6.3%
산 183
 
5.6%
시 182
 
5.6%
로 118
 
3.6%
군 97
 
3.0%
길 81
 
2.5%
Other values (148) 1428
43.9%
Common
ValueCountFrequency (%)
943
44.5%
1 179
 
8.4%
2 129
 
6.1%
) 123
 
5.8%
( 123
 
5.8%
3 109
 
5.1%
- 83
 
3.9%
4 79
 
3.7%
8 65
 
3.1%
7 61
 
2.9%
Other values (6) 227
 
10.7%
Latin
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3253
60.5%
ASCII 2123
39.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
943
44.4%
1 179
 
8.4%
2 129
 
6.1%
) 123
 
5.8%
( 123
 
5.8%
3 109
 
5.1%
- 83
 
3.9%
4 79
 
3.7%
8 65
 
3.1%
7 61
 
2.9%
Other values (8) 229
 
10.8%
Hangul
ValueCountFrequency (%)
도 258
 
7.9%
전 253
 
7.8%
북 234
 
7.2%
라 214
 
6.6%
동 206
 
6.3%
산 183
 
5.6%
시 182
 
5.6%
로 118
 
3.6%
군 97
 
3.0%
길 81
 
2.5%
Other values (147) 1427
43.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Unnamed: 7
Categorical

Distinct8
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
표면처리
89 
용접
37 
금형
32 
소성가공
26 
주조
17 
Other values (3)
11 

Length

Max length14
Median length4
Mean length3.1933962
Min length2

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row(2012.9월 말 기준)
2nd row뿌리업종
3rd row금형
4th row금형
5th row금형

Common Values

ValueCountFrequency (%)
표면처리 89
42.0%
용접 37
17.5%
금형 32
 
15.1%
소성가공 26
 
12.3%
주조 17
 
8.0%
열처리 9
 
4.2%
(2012.9월 말 기준) 1
 
0.5%
뿌리업종 1
 
0.5%

Length

2024-03-14T10:32:03.299215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:32:03.394575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
표면처리 89
41.6%
용접 37
17.3%
금형 32
 
15.0%
소성가공 26
 
12.1%
주조 17
 
7.9%
열처리 9
 
4.2%
2012.9월 1
 
0.5%
말 1
 
0.5%
기준 1
 
0.5%
뿌리업종 1
 
0.5%

Unnamed: 8
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
군산
66 
익산
44 
전주
37 
완주군
29 
김제
18 
Other values (3)
18 

Length

Max length4
Median length2
Mean length2.1462264
Min length2

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row시군
3rd row군산
4th row군산
5th row군산

Common Values

ValueCountFrequency (%)
군산 66
31.1%
익산 44
20.8%
전주 37
17.5%
완주군 29
13.7%
김제 18
 
8.5%
정읍 16
 
7.5%
<NA> 1
 
0.5%
시군 1
 
0.5%

Length

2024-03-14T10:32:03.530904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:32:03.675268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
군산 66
31.1%
익산 44
20.8%
전주 37
17.5%
완주군 29
13.7%
김제 18
 
8.5%
정읍 16
 
7.5%
na 1
 
0.5%
시군 1
 
0.5%

Correlations

2024-03-14T10:32:03.788895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 2Unnamed: 7Unnamed: 8
Unnamed: 21.0000.7640.960
Unnamed: 70.7641.0000.821
Unnamed: 80.9600.8211.000
2024-03-14T10:32:03.888213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 7Unnamed: 2Unnamed: 8
Unnamed: 71.0000.4280.420
Unnamed: 20.4281.0000.780
Unnamed: 80.4200.7801.000
2024-03-14T10:32:04.025885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 2Unnamed: 7Unnamed: 8
Unnamed: 21.0000.4280.780
Unnamed: 70.4281.0000.420
Unnamed: 80.7800.4201.000

Missing values

2024-03-14T10:31:59.806386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:31:59.907519image/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.
2024-03-14T10:32:00.052589image/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

전북 뿌리기업 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8
0NaN<NA><NA><NA><NA><NA><NA>(2012.9월 말 기준)<NA>
1구분회사명단지명대표자명전화번호생산품공장대표주소뿌리업종시군
21(주)신동아군산2국가산업단지김기영063-463-7326자동차금형전라북도 군산시 산단로 42 (오식도동)금형군산
32(주)에이치아이티오토모티브군산2국가산업단지김현석032-714-5600프레스금형전라북도 군산시 산단로 42 (오식도동)금형군산
43대운산업군산2국가산업단지장동희032-561-3674자동차부품전라북도 군산시 동가도길 61 (오식도동)금형군산
54(주)지에스엠군산2국가산업단지조철용063-468-0824금형,산업기계부품전라북도 군산시 산단로 42, (재)전북자동차기술원 금형프라자 202호 (오식도동)금형군산
65(주)티투앤아이군산2국가산업단지김희원063-466-1967금형,금속가공전라북도 군산시 산단동서로 102-20 (오식도동)금형군산
76(주)성림테크군산국가산업단지조정기<NA>금형, 자동화설비전라북도 군산시 동장산2길 6, (재)전북자동차부품혁신센터 (소룡동)금형군산
87대승금형군산2국가산업단지김흥기063-731-2801자동차,농기계,중장비 금형전라북도 군산시 산단로 42, 304호 (오식도동)금형군산
98(주)국제디와이군산성산농공단지정광명063-453-4335몰드베이스전라북도 군산시 성산면 동군산로 136-7금형군산
전북 뿌리기업 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8
202201진웅화학배영수063-212-6767수처리제전라북도 전주시 덕진구 팔복동2가 상리4길 14표면처리전주
203202혜인기계양희국063-212-0237사출성형기, 에어콤푸레셔, 반도체장비 등전라북도 전주시 덕진구 팔복동4가 감수길 30-22표면처리전주
204203흥산화성 전주공장김정의063-212-2009지방산에스테르유전라북도 전주시 덕진구 팔복동4가 추천로 365표면처리전주
205204우정정공이남063-212-0215사출기계부품전라북도 전주시 덕진구 팔복동4가 감수길 30-20표면처리전주
206205IM<NA>최동수063-211-3656태양광트랙커전라북도 전주시 덕진구 신복천변3길 38(팔복도 1가)표면처리전주
207206(주)현보하이텍정읍고부농공단지송상우063-536-1560자동차부품 도장전라북도 정읍시 고부면 고부농단길 11-6표면처리정읍
208207(주)에너지코리아정읍제3지방산업단지홍세승,김인선063-535-0746재생유전라북도 정읍시 북면 3산단3길 112표면처리정읍
209208(주)에이엔씨아이정읍제3지방산업단지이종길,김동인063-535-0901점착활성탄전라북도 정읍시 북면 3산단3길 67표면처리정읍
210209(주)주선화학이견희063-537-3625도막보호제및제진제전라북도 정읍시 옹동면 우동길 48-3 외 7 필지표면처리정읍
211210(주)켐믹스정읍제2지방산업단지이강태063-533-6405고무이형제, 탈취제전라북도 정읍시 2산단4길 14 (하북동)표면처리정읍