Overview

Dataset statistics

Number of variables10
Number of observations1261
Missing cells331
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory101.1 KiB
Average record size in memory82.1 B

Variable types

Categorical1
Text7
Numeric2

Dataset

Description전라북도 군산시에 소재한 산업단지/개별입지 제조업체 등록현황(단지명, 회사명, 대표자명, 공장대표주소, 대표업종번호, 업종명, 전화번호, 팩스번호, 종업원수, 생산품)
Author전라북도 군산시
URLhttps://www.data.go.kr/data/15034942/fileData.do

Alerts

전화번호 has 119 (9.4%) missing valuesMissing
팩스번호 has 198 (15.7%) missing valuesMissing
종업원수 has 22 (1.7%) zerosZeros

Reproduction

Analysis started2023-12-12 11:51:41.815735
Analysis finished2023-12-12 11:51:44.225404
Duration2.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단지명
Categorical

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
군산2국가산업단지
481 
개별입지
328 
군산국가산업단지
171 
군산일반산업단지
59 
군산서수농공단지
54 
Other values (6)
168 

Length

Max length9
Median length8
Mean length7.3552736
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row군산국가산업단지
2nd row개별입지
3rd row군산국가산업단지
4th row개별입지
5th row개별입지

Common Values

ValueCountFrequency (%)
군산2국가산업단지 481
38.1%
개별입지 328
26.0%
군산국가산업단지 171
 
13.6%
군산일반산업단지 59
 
4.7%
군산서수농공단지 54
 
4.3%
군산옥구농공단지 49
 
3.9%
군산임피농공단지 35
 
2.8%
군산자유무역지역 35
 
2.8%
군산성산농공단지 27
 
2.1%
새만금국가산업단지 20
 
1.6%

Length

2023-12-12T20:51:44.314458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
군산2국가산업단지 481
38.1%
개별입지 328
26.0%
군산국가산업단지 171
 
13.6%
군산일반산업단지 59
 
4.7%
군산서수농공단지 54
 
4.3%
군산옥구농공단지 49
 
3.9%
군산임피농공단지 35
 
2.8%
군산자유무역지역 35
 
2.8%
군산성산농공단지 27
 
2.1%
새만금국가산업단지 20
 
1.6%

회사명
Text

Distinct1181
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2023-12-12T20:51:44.642934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length7.7010309
Min length2

Characters and Unicode

Total characters9711
Distinct characters453
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

Unique1111 ?
Unique (%)88.1%

Sample

1st row(사)한국참여자치장애인총연합회 중전기사업단
2nd row(유) 비엔트리니티
3rd row(유)가탑엔지니어링
4th row(유)경원산업
5th row(유)경인
ValueCountFrequency (%)
주식회사 60
 
4.2%
유한회사 26
 
1.8%
군산공장 17
 
1.2%
군산지점 6
 
0.4%
농업회사법인 5
 
0.3%
주)아이에스테크 5
 
0.3%
주)삼원중공업 4
 
0.3%
우성정밀공업사 3
 
0.2%
주)제이아이테크 3
 
0.2%
유)진테크 3
 
0.2%
Other values (1215) 1303
90.8%
2023-12-12T20:51:45.177999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 869
 
8.9%
( 868
 
8.9%
주 754
 
7.8%
이 330
 
3.4%
유 263
 
2.7%
스 234
 
2.4%
산 222
 
2.3%
업 198
 
2.0%
에 190
 
2.0%
178
 
1.8%
Other values (443) 5605
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7696
79.3%
Close Punctuation 869
 
8.9%
Open Punctuation 868
 
8.9%
Space Separator 178
 
1.8%
Uppercase Letter 66
 
0.7%
Decimal Number 18
 
0.2%
Lowercase Letter 11
 
0.1%
Other Punctuation 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 754
 
9.8%
이 330
 
4.3%
유 263
 
3.4%
스 234
 
3.0%
산 222
 
2.9%
업 198
 
2.6%
에 190
 
2.5%
사 147
 
1.9%
지 124
 
1.6%
회 123
 
1.6%
Other values (404) 5111
66.4%
Uppercase Letter
ValueCountFrequency (%)
N 8
12.1%
E 7
10.6%
I 5
 
7.6%
K 5
 
7.6%
B 4
 
6.1%
O 4
 
6.1%
S 4
 
6.1%
T 4
 
6.1%
G 4
 
6.1%
L 4
 
6.1%
Other values (10) 17
25.8%
Lowercase Letter
ValueCountFrequency (%)
t 2
18.2%
s 2
18.2%
h 1
9.1%
c 1
9.1%
e 1
9.1%
d 1
9.1%
g 1
9.1%
n 1
9.1%
o 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 11
61.1%
3 4
 
22.2%
1 3
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
/ 1
25.0%
& 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 869
100.0%
Open Punctuation
ValueCountFrequency (%)
( 868
100.0%
Space Separator
ValueCountFrequency (%)
178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7696
79.3%
Common 1938
 
20.0%
Latin 77
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 754
 
9.8%
이 330
 
4.3%
유 263
 
3.4%
스 234
 
3.0%
산 222
 
2.9%
업 198
 
2.6%
에 190
 
2.5%
사 147
 
1.9%
지 124
 
1.6%
회 123
 
1.6%
Other values (404) 5111
66.4%
Latin
ValueCountFrequency (%)
N 8
 
10.4%
E 7
 
9.1%
I 5
 
6.5%
K 5
 
6.5%
B 4
 
5.2%
O 4
 
5.2%
S 4
 
5.2%
T 4
 
5.2%
G 4
 
5.2%
L 4
 
5.2%
Other values (19) 28
36.4%
Common
ValueCountFrequency (%)
) 869
44.8%
( 868
44.8%
178
 
9.2%
2 11
 
0.6%
3 4
 
0.2%
1 3
 
0.2%
. 2
 
0.1%
/ 1
 
0.1%
& 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7696
79.3%
ASCII 2015
 
20.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 869
43.1%
( 868
43.1%
178
 
8.8%
2 11
 
0.5%
N 8
 
0.4%
E 7
 
0.3%
I 5
 
0.2%
K 5
 
0.2%
B 4
 
0.2%
O 4
 
0.2%
Other values (29) 56
 
2.8%
Hangul
ValueCountFrequency (%)
주 754
 
9.8%
이 330
 
4.3%
유 263
 
3.4%
스 234
 
3.0%
산 222
 
2.9%
업 198
 
2.6%
에 190
 
2.5%
사 147
 
1.9%
지 124
 
1.6%
회 123
 
1.6%
Other values (404) 5111
66.4%

대표자명
Text

Distinct1091
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2023-12-12T20:51:45.711210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.3298969
Min length2

Characters and Unicode

Total characters4199
Distinct characters255
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

Unique954 ?
Unique (%)75.7%

Sample

1st row김대건
2nd row김진옥
3rd row최석
4th row김석주
5th row이경로
ValueCountFrequency (%)
한창범 6
 
0.5%
손승모 5
 
0.4%
임정배 4
 
0.3%
진규식 4
 
0.3%
고승주 4
 
0.3%
김용석 4
 
0.3%
조이행 4
 
0.3%
조성룡 3
 
0.2%
이규호 3
 
0.2%
정 3
 
0.2%
Other values (1137) 1293
97.0%
2023-12-12T20:51:46.371226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 294
 
7.0%
이 213
 
5.1%
정 111
 
2.6%
영 97
 
2.3%
박 94
 
2.2%
성 89
 
2.1%
수 80
 
1.9%
호 78
 
1.9%
73
 
1.7%
진 72
 
1.7%
Other values (245) 2998
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4020
95.7%
Space Separator 73
 
1.7%
Other Punctuation 71
 
1.7%
Uppercase Letter 31
 
0.7%
Decimal Number 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 294
 
7.3%
이 213
 
5.3%
정 111
 
2.8%
영 97
 
2.4%
박 94
 
2.3%
성 89
 
2.2%
수 80
 
2.0%
호 78
 
1.9%
진 72
 
1.8%
최 65
 
1.6%
Other values (225) 2827
70.3%
Uppercase Letter
ValueCountFrequency (%)
A 5
16.1%
N 4
12.9%
E 3
9.7%
O 3
9.7%
H 3
9.7%
I 2
 
6.5%
J 2
 
6.5%
G 2
 
6.5%
R 1
 
3.2%
Z 1
 
3.2%
Other values (5) 5
16.1%
Space Separator
ValueCountFrequency (%)
73
100.0%
Other Punctuation
ValueCountFrequency (%)
, 71
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4020
95.7%
Common 148
 
3.5%
Latin 31
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 294
 
7.3%
이 213
 
5.3%
정 111
 
2.8%
영 97
 
2.4%
박 94
 
2.3%
성 89
 
2.2%
수 80
 
2.0%
호 78
 
1.9%
진 72
 
1.8%
최 65
 
1.6%
Other values (225) 2827
70.3%
Latin
ValueCountFrequency (%)
A 5
16.1%
N 4
12.9%
E 3
9.7%
O 3
9.7%
H 3
9.7%
I 2
 
6.5%
J 2
 
6.5%
G 2
 
6.5%
R 1
 
3.2%
Z 1
 
3.2%
Other values (5) 5
16.1%
Common
ValueCountFrequency (%)
73
49.3%
, 71
48.0%
1 2
 
1.4%
) 1
 
0.7%
( 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4020
95.7%
ASCII 179
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 294
 
7.3%
이 213
 
5.3%
정 111
 
2.8%
영 97
 
2.4%
박 94
 
2.3%
성 89
 
2.2%
수 80
 
2.0%
호 78
 
1.9%
진 72
 
1.8%
최 65
 
1.6%
Other values (225) 2827
70.3%
ASCII
ValueCountFrequency (%)
73
40.8%
, 71
39.7%
A 5
 
2.8%
N 4
 
2.2%
E 3
 
1.7%
O 3
 
1.7%
H 3
 
1.7%
I 2
 
1.1%
1 2
 
1.1%
J 2
 
1.1%
Other values (10) 11
 
6.1%

공장대표주소(도로명)
Text

Distinct1081
Distinct (%)86.3%
Missing9
Missing (%)0.7%
Memory size10.0 KiB
2023-12-12T20:51:46.851507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length49
Mean length26.410543
Min length17

Characters and Unicode

Total characters33066
Distinct characters349
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

Unique958 ?
Unique (%)76.5%

Sample

1st row전라북도 군산시 대학로 558, 창업보육센터 1114호 (미룡동, 군산대학교)
2nd row전라북도 군산시 소룡동 1648-4번지
3rd row전라북도 군산시 나포면 십자들로 810
4th row전라북도 군산시 임피면 미산길 32-10 ((유)경인)
5th row전라북도 군산시 양촌1길 30-9 (조촌동, 우림포장산업)
ValueCountFrequency (%)
전라북도 1253
 
18.5%
군산시 1253
 
18.5%
오식도동 381
 
5.6%
소룡동 205
 
3.0%
외항로 109
 
1.6%
외 97
 
1.4%
서수면 89
 
1.3%
임피면 72
 
1.1%
산단동서로 70
 
1.0%
옥구읍 66
 
1.0%
Other values (1380) 3190
47.0%
2023-12-12T20:51:47.454106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5534
 
16.7%
도 1910
 
5.8%
산 1817
 
5.5%
북 1389
 
4.2%
군 1350
 
4.1%
전 1271
 
3.8%
라 1268
 
3.8%
시 1254
 
3.8%
동 1186
 
3.6%
( 1007
 
3.0%
Other values (339) 15080
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20021
60.5%
Space Separator 5534
 
16.7%
Decimal Number 4551
 
13.8%
Open Punctuation 1009
 
3.1%
Close Punctuation 1009
 
3.1%
Dash Punctuation 468
 
1.4%
Other Punctuation 340
 
1.0%
Uppercase Letter 85
 
0.3%
Other Symbol 44
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1910
 
9.5%
산 1817
 
9.1%
북 1389
 
6.9%
군 1350
 
6.7%
전 1271
 
6.3%
라 1268
 
6.3%
시 1254
 
6.3%
동 1186
 
5.9%
로 756
 
3.8%
식 512
 
2.6%
Other values (296) 7308
36.5%
Uppercase Letter
ValueCountFrequency (%)
A 14
16.5%
E 12
14.1%
S 9
10.6%
T 6
 
7.1%
N 5
 
5.9%
G 5
 
5.9%
D 5
 
5.9%
M 4
 
4.7%
B 4
 
4.7%
C 4
 
4.7%
Other values (8) 17
20.0%
Decimal Number
ValueCountFrequency (%)
1 981
21.6%
2 665
14.6%
3 536
11.8%
4 423
9.3%
6 413
9.1%
5 348
 
7.6%
0 320
 
7.0%
8 317
 
7.0%
7 280
 
6.2%
9 268
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 334
98.2%
. 3
 
0.9%
& 2
 
0.6%
* 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
e 1
25.0%
i 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 1007
99.8%
[ 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1007
99.8%
] 2
 
0.2%
Space Separator
ValueCountFrequency (%)
5534
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 468
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20065
60.7%
Common 12912
39.0%
Latin 89
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1910
 
9.5%
산 1817
 
9.1%
북 1389
 
6.9%
군 1350
 
6.7%
전 1271
 
6.3%
라 1268
 
6.3%
시 1254
 
6.2%
동 1186
 
5.9%
로 756
 
3.8%
식 512
 
2.6%
Other values (297) 7352
36.6%
Common
ValueCountFrequency (%)
5534
42.9%
( 1007
 
7.8%
) 1007
 
7.8%
1 981
 
7.6%
2 665
 
5.2%
3 536
 
4.2%
- 468
 
3.6%
4 423
 
3.3%
6 413
 
3.2%
5 348
 
2.7%
Other values (11) 1530
 
11.8%
Latin
ValueCountFrequency (%)
A 14
15.7%
E 12
13.5%
S 9
10.1%
T 6
 
6.7%
N 5
 
5.6%
G 5
 
5.6%
D 5
 
5.6%
M 4
 
4.5%
B 4
 
4.5%
C 4
 
4.5%
Other values (11) 21
23.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20021
60.5%
ASCII 13001
39.3%
None 44
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5534
42.6%
( 1007
 
7.7%
) 1007
 
7.7%
1 981
 
7.5%
2 665
 
5.1%
3 536
 
4.1%
- 468
 
3.6%
4 423
 
3.3%
6 413
 
3.2%
5 348
 
2.7%
Other values (32) 1619
 
12.5%
Hangul
ValueCountFrequency (%)
도 1910
 
9.5%
산 1817
 
9.1%
북 1389
 
6.9%
군 1350
 
6.7%
전 1271
 
6.3%
라 1268
 
6.3%
시 1254
 
6.3%
동 1186
 
5.9%
로 756
 
3.8%
식 512
 
2.6%
Other values (296) 7308
36.5%
None
ValueCountFrequency (%)
㈜ 44
100.0%

대표업종번호
Real number (ℝ)

Distinct267
Distinct (%)21.2%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean23566.053
Minimum10111
Maximum34309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2023-12-12T20:51:47.604071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10111
5-th percentile10309
Q120312
median25113
Q329169
95-th percentile31113
Maximum34309
Range24198
Interquartile range (IQR)8857

Descriptive statistics

Standard deviation6443.2216
Coefficient of variation (CV)0.27341115
Kurtosis-0.39554462
Mean23566.053
Median Absolute Deviation (MAD)4128
Skewness-0.76127554
Sum29693227
Variance41515105
MonotonicityNot monotonic
2023-12-12T20:51:47.782624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25113 65
 
5.2%
30399 49
 
3.9%
30320 38
 
3.0%
25112 35
 
2.8%
16101 33
 
2.6%
25924 31
 
2.5%
29241 28
 
2.2%
28123 25
 
2.0%
10611 21
 
1.7%
25929 21
 
1.7%
Other values (257) 914
72.5%
ValueCountFrequency (%)
10111 1
 
0.1%
10121 1
 
0.1%
10122 1
 
0.1%
10129 10
0.8%
10211 7
0.6%
10212 16
1.3%
10213 8
0.6%
10219 6
 
0.5%
10220 5
 
0.4%
10301 5
 
0.4%
ValueCountFrequency (%)
34309 1
 
0.1%
34019 1
 
0.1%
34011 1
 
0.1%
33999 2
 
0.2%
33992 2
 
0.2%
33920 1
 
0.1%
33910 11
0.9%
33309 1
 
0.1%
33302 2
 
0.2%
33301 4
 
0.3%

업종명
Text

Distinct536
Distinct (%)42.5%
Missing1
Missing (%)0.1%
Memory size10.0 KiB
2023-12-12T20:51:48.096131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length18.237302
Min length3

Characters and Unicode

Total characters22979
Distinct characters303
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

Unique321 ?
Unique (%)25.5%

Sample

1st row배전반 및 전기 자동제어반 제조업 외 2 종
2nd row치약, 비누 및 기타 세제 제조업 외 1 종
3rd row육상 금속 골조 구조재 제조업
4th row육상 금속 골조 구조재 제조업 외 6 종
5th row김치류 제조업 외 2 종
ValueCountFrequency (%)
제조업 1051
 
13.9%
외 776
 
10.3%
종 617
 
8.2%
및 538
 
7.1%
기타 350
 
4.6%
1 269
 
3.6%
그 159
 
2.1%
금속 134
 
1.8%
2 121
 
1.6%
신품 100
 
1.3%
Other values (506) 3445
45.6%
2023-12-12T20:51:48.912636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6300
27.4%
제 1423
 
6.2%
조 1367
 
5.9%
업 1314
 
5.7%
외 789
 
3.4%
기 676
 
2.9%
종 623
 
2.7%
및 539
 
2.3%
품 504
 
2.2%
용 390
 
1.7%
Other values (293) 9054
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15885
69.1%
Space Separator 6300
 
27.4%
Decimal Number 645
 
2.8%
Other Punctuation 125
 
0.5%
Open Punctuation 12
 
0.1%
Close Punctuation 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1423
 
9.0%
조 1367
 
8.6%
업 1314
 
8.3%
외 789
 
5.0%
기 676
 
4.3%
종 623
 
3.9%
및 539
 
3.4%
품 504
 
3.2%
용 390
 
2.5%
타 359
 
2.3%
Other values (278) 7901
49.7%
Decimal Number
ValueCountFrequency (%)
1 298
46.2%
2 125
19.4%
3 76
 
11.8%
4 48
 
7.4%
6 28
 
4.3%
5 23
 
3.6%
7 18
 
2.8%
8 16
 
2.5%
9 9
 
1.4%
0 4
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 119
95.2%
. 6
 
4.8%
Space Separator
ValueCountFrequency (%)
6300
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15885
69.1%
Common 7094
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1423
 
9.0%
조 1367
 
8.6%
업 1314
 
8.3%
외 789
 
5.0%
기 676
 
4.3%
종 623
 
3.9%
및 539
 
3.4%
품 504
 
3.2%
용 390
 
2.5%
타 359
 
2.3%
Other values (278) 7901
49.7%
Common
ValueCountFrequency (%)
6300
88.8%
1 298
 
4.2%
2 125
 
1.8%
, 119
 
1.7%
3 76
 
1.1%
4 48
 
0.7%
6 28
 
0.4%
5 23
 
0.3%
7 18
 
0.3%
8 16
 
0.2%
Other values (5) 43
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15878
69.1%
ASCII 7094
30.9%
Compat Jamo 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6300
88.8%
1 298
 
4.2%
2 125
 
1.8%
, 119
 
1.7%
3 76
 
1.1%
4 48
 
0.7%
6 28
 
0.4%
5 23
 
0.3%
7 18
 
0.3%
8 16
 
0.2%
Other values (5) 43
 
0.6%
Hangul
ValueCountFrequency (%)
제 1423
 
9.0%
조 1367
 
8.6%
업 1314
 
8.3%
외 789
 
5.0%
기 676
 
4.3%
종 623
 
3.9%
및 539
 
3.4%
품 504
 
3.2%
용 390
 
2.5%
타 359
 
2.3%
Other values (277) 7894
49.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%

전화번호
Text

MISSING 

Distinct1029
Distinct (%)90.1%
Missing119
Missing (%)9.4%
Memory size10.0 KiB
2023-12-12T20:51:49.279205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.028021
Min length11

Characters and Unicode

Total characters13736
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

Unique932 ?
Unique (%)81.6%

Sample

1st row063-464-8781
2nd row063-467-1181
3rd row063-223-2341
4th row063-453-1851
5th row063-453-1122
ValueCountFrequency (%)
063-468-6900 6
 
0.5%
063-460-5834 4
 
0.4%
063-451-7065 4
 
0.4%
063-468-8711 4
 
0.4%
063-453-8020 3
 
0.3%
063-451-6918 3
 
0.3%
063-471-7637 3
 
0.3%
063-900-8800 3
 
0.3%
063-463-3041 3
 
0.3%
063-463-0696 3
 
0.3%
Other values (1019) 1106
96.8%
2023-12-12T20:51:49.875081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2284
16.6%
6 2070
15.1%
0 2039
14.8%
3 1710
12.4%
4 1538
11.2%
1 929
6.8%
5 794
 
5.8%
7 732
 
5.3%
2 658
 
4.8%
8 577
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11452
83.4%
Dash Punctuation 2284
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 2070
18.1%
0 2039
17.8%
3 1710
14.9%
4 1538
13.4%
1 929
8.1%
5 794
 
6.9%
7 732
 
6.4%
2 658
 
5.7%
8 577
 
5.0%
9 405
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 2284
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13736
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2284
16.6%
6 2070
15.1%
0 2039
14.8%
3 1710
12.4%
4 1538
11.2%
1 929
6.8%
5 794
 
5.8%
7 732
 
5.3%
2 658
 
4.8%
8 577
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2284
16.6%
6 2070
15.1%
0 2039
14.8%
3 1710
12.4%
4 1538
11.2%
1 929
6.8%
5 794
 
5.8%
7 732
 
5.3%
2 658
 
4.8%
8 577
 
4.2%

팩스번호
Text

MISSING 

Distinct934
Distinct (%)87.9%
Missing198
Missing (%)15.7%
Memory size10.0 KiB
2023-12-12T20:51:50.255613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.039511
Min length11

Characters and Unicode

Total characters12798
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

Unique827 ?
Unique (%)77.8%

Sample

1st row063-464-8782
2nd row063-467-1281
3rd row063-224-2341
4th row063-453-1852
5th row063-453-7577
ValueCountFrequency (%)
063-468-8720 5
 
0.5%
063-468-6901 5
 
0.5%
063-453-8033 4
 
0.4%
063-468-2635 4
 
0.4%
063-471-1756 3
 
0.3%
070-8668-3330 3
 
0.3%
063-451-7067 3
 
0.3%
063-466-8661 3
 
0.3%
063-461-8904 3
 
0.3%
063-461-6668 3
 
0.3%
Other values (924) 1027
96.6%
2023-12-12T20:51:50.743683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2126
16.6%
6 1983
15.5%
0 1684
13.2%
3 1606
12.5%
4 1445
11.3%
1 795
 
6.2%
5 770
 
6.0%
7 682
 
5.3%
2 661
 
5.2%
8 596
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10672
83.4%
Dash Punctuation 2126
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 1983
18.6%
0 1684
15.8%
3 1606
15.0%
4 1445
13.5%
1 795
7.4%
5 770
 
7.2%
7 682
 
6.4%
2 661
 
6.2%
8 596
 
5.6%
9 450
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 2126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2126
16.6%
6 1983
15.5%
0 1684
13.2%
3 1606
12.5%
4 1445
11.3%
1 795
 
6.2%
5 770
 
6.0%
7 682
 
5.3%
2 661
 
5.2%
8 596
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2126
16.6%
6 1983
15.5%
0 1684
13.2%
3 1606
12.5%
4 1445
11.3%
1 795
 
6.2%
5 770
 
6.0%
7 682
 
5.3%
2 661
 
5.2%
8 596
 
4.7%

종업원수
Real number (ℝ)

ZEROS 

Distinct122
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.166534
Minimum0
Maximum3285
Zeros22
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size11.2 KiB
2023-12-12T20:51:50.983829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q317
95-th percentile77
Maximum3285
Range3285
Interquartile range (IQR)13

Descriptive statistics

Standard deviation125.52387
Coefficient of variation (CV)4.9877297
Kurtosis440.03129
Mean25.166534
Median Absolute Deviation (MAD)5
Skewness19.337498
Sum31735
Variance15756.242
MonotonicityNot monotonic
2023-12-12T20:51:51.200477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 116
 
9.2%
3 106
 
8.4%
4 102
 
8.1%
2 83
 
6.6%
6 74
 
5.9%
7 72
 
5.7%
10 71
 
5.6%
1 55
 
4.4%
8 52
 
4.1%
9 47
 
3.7%
Other values (112) 483
38.3%
ValueCountFrequency (%)
0 22
 
1.7%
1 55
4.4%
2 83
6.6%
3 106
8.4%
4 102
8.1%
5 116
9.2%
6 74
5.9%
7 72
5.7%
8 52
4.1%
9 47
3.7%
ValueCountFrequency (%)
3285 1
0.1%
2130 1
0.1%
1515 1
0.1%
747 1
0.1%
584 1
0.1%
455 1
0.1%
328 1
0.1%
306 1
0.1%
300 1
0.1%
275 1
0.1%

생산품
Text

Distinct1120
Distinct (%)89.0%
Missing3
Missing (%)0.2%
Memory size10.0 KiB
2023-12-12T20:51:51.628706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length44
Mean length10.567568
Min length1

Characters and Unicode

Total characters13294
Distinct characters591
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

Unique1050 ?
Unique (%)83.5%

Sample

1st row배전반, 자동제어반, 가로등주
2nd row샴푸, 비누
3rd row철구조물 가공품
4th row콘베어및이송기계
5th row김치
ValueCountFrequency (%)
등 111
 
4.0%
및 80
 
2.9%
자동차 39
 
1.4%
부품 39
 
1.4%
자동차부품 29
 
1.1%
외 24
 
0.9%
선박 18
 
0.7%
철구조물 17
 
0.6%
플라스틱 16
 
0.6%
가공 15
 
0.5%
Other values (1644) 2359
85.9%
2023-12-12T20:51:52.273565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1501
 
11.3%
, 796
 
6.0%
기 319
 
2.4%
품 258
 
1.9%
제 252
 
1.9%
조 209
 
1.6%
장 203
 
1.5%
부 197
 
1.5%
자 194
 
1.5%
동 183
 
1.4%
Other values (581) 9182
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9929
74.7%
Space Separator 1501
 
11.3%
Other Punctuation 833
 
6.3%
Uppercase Letter 488
 
3.7%
Lowercase Letter 305
 
2.3%
Open Punctuation 95
 
0.7%
Close Punctuation 95
 
0.7%
Decimal Number 34
 
0.3%
Dash Punctuation 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 319
 
3.2%
품 258
 
2.6%
제 252
 
2.5%
조 209
 
2.1%
장 203
 
2.0%
부 197
 
2.0%
자 194
 
2.0%
동 183
 
1.8%
차 171
 
1.7%
스 168
 
1.7%
Other values (514) 7775
78.3%
Uppercase Letter
ValueCountFrequency (%)
C 56
11.5%
E 47
 
9.6%
D 41
 
8.4%
P 39
 
8.0%
L 38
 
7.8%
S 33
 
6.8%
F 30
 
6.1%
T 29
 
5.9%
A 26
 
5.3%
B 20
 
4.1%
Other values (15) 129
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 41
13.4%
r 30
 
9.8%
a 24
 
7.9%
i 21
 
6.9%
o 21
 
6.9%
l 19
 
6.2%
s 19
 
6.2%
c 16
 
5.2%
n 15
 
4.9%
u 14
 
4.6%
Other values (13) 85
27.9%
Decimal Number
ValueCountFrequency (%)
2 7
20.6%
3 7
20.6%
4 7
20.6%
9 4
11.8%
1 4
11.8%
0 3
8.8%
8 1
 
2.9%
6 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 796
95.6%
. 21
 
2.5%
/ 7
 
0.8%
& 3
 
0.4%
' 3
 
0.4%
% 2
 
0.2%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1501
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9929
74.7%
Common 2572
 
19.3%
Latin 793
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 319
 
3.2%
품 258
 
2.6%
제 252
 
2.5%
조 209
 
2.1%
장 203
 
2.0%
부 197
 
2.0%
자 194
 
2.0%
동 183
 
1.8%
차 171
 
1.7%
스 168
 
1.7%
Other values (514) 7775
78.3%
Latin
ValueCountFrequency (%)
C 56
 
7.1%
E 47
 
5.9%
D 41
 
5.2%
e 41
 
5.2%
P 39
 
4.9%
L 38
 
4.8%
S 33
 
4.2%
r 30
 
3.8%
F 30
 
3.8%
T 29
 
3.7%
Other values (38) 409
51.6%
Common
ValueCountFrequency (%)
1501
58.4%
, 796
30.9%
( 95
 
3.7%
) 95
 
3.7%
. 21
 
0.8%
- 14
 
0.5%
/ 7
 
0.3%
2 7
 
0.3%
3 7
 
0.3%
4 7
 
0.3%
Other values (9) 22
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9929
74.7%
ASCII 3365
 
25.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1501
44.6%
, 796
23.7%
( 95
 
2.8%
) 95
 
2.8%
C 56
 
1.7%
E 47
 
1.4%
D 41
 
1.2%
e 41
 
1.2%
P 39
 
1.2%
L 38
 
1.1%
Other values (57) 616
18.3%
Hangul
ValueCountFrequency (%)
기 319
 
3.2%
품 258
 
2.6%
제 252
 
2.5%
조 209
 
2.1%
장 203
 
2.0%
부 197
 
2.0%
자 194
 
2.0%
동 183
 
1.8%
차 171
 
1.7%
스 168
 
1.7%
Other values (514) 7775
78.3%

Interactions

2023-12-12T20:51:43.462163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:51:43.186179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:51:43.590513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:51:43.319529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:51:52.445333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명대표업종번호종업원수
단지명1.0000.3960.000
대표업종번호0.3961.0000.000
종업원수0.0000.0001.000
2023-12-12T20:51:52.615306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표업종번호종업원수단지명
대표업종번호1.000-0.0510.180
종업원수-0.0511.0000.000
단지명0.1800.0001.000

Missing values

2023-12-12T20:51:43.772034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:51:43.987967image/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.
2023-12-12T20:51:44.135189image/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

단지명회사명대표자명공장대표주소(도로명)대표업종번호업종명전화번호팩스번호종업원수생산품
0군산국가산업단지(사)한국참여자치장애인총연합회 중전기사업단김대건<NA>28123배전반 및 전기 자동제어반 제조업 외 2 종063-464-8781063-464-878212배전반, 자동제어반, 가로등주
1개별입지(유) 비엔트리니티김진옥전라북도 군산시 대학로 558, 창업보육센터 1114호 (미룡동, 군산대학교)20422치약, 비누 및 기타 세제 제조업 외 1 종063-467-1181063-467-12811샴푸, 비누
2군산국가산업단지(유)가탑엔지니어링최석전라북도 군산시 소룡동 1648-4번지25113육상 금속 골조 구조재 제조업063-223-2341063-224-234112철구조물 가공품
3개별입지(유)경원산업김석주전라북도 군산시 나포면 십자들로 81025113육상 금속 골조 구조재 제조업 외 6 종063-453-1851063-453-185211콘베어및이송기계
4개별입지(유)경인이경로전라북도 군산시 임피면 미산길 32-10 ((유)경인)10301김치류 제조업 외 2 종063-453-1122063-453-757715김치
5개별입지(유)경진산업손순덕전라북도 군산시 양촌1길 30-9 (조촌동, 우림포장산업)16231목재 깔판류 및 기타 적재판 제조업 외 2 종070-4253-2134063-445-21348목재깔판류 및 기타 적재판
6군산2국가산업단지(유)광명중전기문영광전라북도 군산시 산단동서로 80-11 (오식도동)24290기타 1차 비철금속 제조업 외 2 종063-463-6670063-463-33239전동기, 기계부품, 전기자재 등
7개별입지(유)광진전업사김상기전라북도 군산시 회현면 서기길 3-2728123배전반 및 전기 자동제어반 제조업063-466-6087063-466-83303전기배전판
8개별입지(유)군산수산물센타신동호전라북도 군산시 임사길 10 (산북동, (주)삼우더엔에스)10219기타 수산동물 가공 및 저장 처리업063-442-4123063-445-68821도미, 조기, 꽃게
9개별입지(유)군산식품노영복전라북도 군산시 옥구읍 옥구로 104-1110794두부 및 유사식품 제조업063-471-4766063-471-476610두부류
단지명회사명대표자명공장대표주소(도로명)대표업종번호업종명전화번호팩스번호종업원수생산품
1251군산2국가산업단지호평중공업(주)조강식전라북도 군산시 자유무역로 140 (오식도동)25111금속 문, 창, 셔터 및 관련제품 제조업 외 8 종063-546-3091063-546-309383수문, 제진기, 펌프 등
1252개별입지홍익송윤자전라북도 군산시 개사동 678-2번지33910간판 및 광고물 제조업063-471-2700063-471-45239광고물 전반
1253개별입지화우당김손빈전라북도 군산시 내항2길 312, 연구가공동 3층 301 (해망동) 연구가공동 3층 301호10219기타 수산동물 가공 및 저장 처리업063-443-6112063-443-61133꽃무늬 세절갑오징어 외
1254군산2국가산업단지화인(주)나홍수전라북도 군산시 산단동서로 80-16 (오식도동)26323컴퓨터 프린터 제조업 외 1 종063-467-2587063-468-25898프린터, 컨테이너사무실, 철재 구조물
1255군산2국가산업단지화인플러스 주식회사나홍수전라북도 군산시 외항로 973, 871-5 (오식도동)25119기타 구조용 금속제품 제조업<NA><NA>8건물용 컨테이너 제조, 이동식 조립건물 제조
1256개별입지황토코리아배정수전라북도 군산시 임피면 보석리 418-1 번지32029기타 목재가구 제조업063-453-0045063-453-22563황토돌침대
1257개별입지황토코리아협동조합배종문전라북도 군산시 임피면 미원리 286-123919기타 석제품 제조업<NA><NA>5흙침대
1258개별입지회현농협미곡종합처리장김기동전라북도 군산시 회현면 회미로 453 (회현농협미곡종합) (총 3 필지)10611곡물 도정업063-466-8323063-466-83249쌀(옥토진미)
1259개별입지효경물산이영식전라북도 군산시 해망로 340 (총 2 필지) 외 1필지10213수산동물 냉동품 제조업063-445-4703063-445-427310오징어가공
1260개별입지효송식품김랑주전라북도 군산시 옥산면 회현로 19 (궁전꽃게장)10211수산동물 훈제, 조리 및 유사 조제식품 제조업<NA><NA>3젓갈류