Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells254
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Text4

Dataset

Description경상남도의 제조업 공장등록 데이터 현황으로, 회사명, 공장대표주소, 생산품, 업종명 데이터를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3073008/fileData.do

Alerts

공장대표주소(도로명) has 210 (2.1%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:28:28.842398
Analysis finished2023-12-11 23:28:30.676079
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11769.589
Minimum5
Maximum23635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:28:30.743973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile1198.75
Q15925
median11675.5
Q317698.25
95-th percentile22390.1
Maximum23635
Range23630
Interquartile range (IQR)11773.25

Descriptive statistics

Standard deviation6800.4751
Coefficient of variation (CV)0.57780054
Kurtosis-1.1979592
Mean11769.589
Median Absolute Deviation (MAD)5890.5
Skewness0.014418273
Sum1.1769589 × 108
Variance46246461
MonotonicityNot monotonic
2023-12-12T08:28:30.866708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13194 1
 
< 0.1%
3382 1
 
< 0.1%
3297 1
 
< 0.1%
9044 1
 
< 0.1%
15916 1
 
< 0.1%
22458 1
 
< 0.1%
20991 1
 
< 0.1%
23252 1
 
< 0.1%
12592 1
 
< 0.1%
11918 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
5 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
20 1
< 0.1%
23 1
< 0.1%
24 1
< 0.1%
ValueCountFrequency (%)
23635 1
< 0.1%
23633 1
< 0.1%
23632 1
< 0.1%
23631 1
< 0.1%
23629 1
< 0.1%
23627 1
< 0.1%
23625 1
< 0.1%
23622 1
< 0.1%
23618 1
< 0.1%
23617 1
< 0.1%

회사명
Text

Distinct9188
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:28:31.206721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length6.7713
Min length1

Characters and Unicode

Total characters67713
Distinct characters768
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8554 ?
Unique (%)85.5%

Sample

1st row사림통상
2nd row한진콘테이너
3rd row하나테크
4th row진성철강(주)
5th row동양산업(주) 웅남지점
ValueCountFrequency (%)
주식회사 635
 
5.7%
농업회사법인 65
 
0.6%
2공장 50
 
0.4%
제2공장 36
 
0.3%
태양광발전소 18
 
0.2%
임대사업자 17
 
0.2%
1공장 13
 
0.1%
tech 12
 
0.1%
주 10
 
0.1%
유한회사 10
 
0.1%
Other values (9288) 10333
92.3%
2023-12-12T08:28:31.921666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5473
 
8.1%
) 4700
 
6.9%
( 4697
 
6.9%
업 1860
 
2.7%
이 1751
 
2.6%
산 1487
 
2.2%
사 1414
 
2.1%
스 1317
 
1.9%
1229
 
1.8%
공 1124
 
1.7%
Other values (758) 42661
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55310
81.7%
Close Punctuation 4702
 
6.9%
Open Punctuation 4699
 
6.9%
Space Separator 1229
 
1.8%
Uppercase Letter 1151
 
1.7%
Decimal Number 297
 
0.4%
Other Punctuation 144
 
0.2%
Lowercase Letter 135
 
0.2%
Other Symbol 27
 
< 0.1%
Dash Punctuation 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5473
 
9.9%
업 1860
 
3.4%
이 1751
 
3.2%
산 1487
 
2.7%
사 1414
 
2.6%
스 1317
 
2.4%
공 1124
 
2.0%
성 1078
 
1.9%
크 1029
 
1.9%
에 961
 
1.7%
Other values (691) 37816
68.4%
Uppercase Letter
ValueCountFrequency (%)
S 134
11.6%
E 128
11.1%
N 97
 
8.4%
T 93
 
8.1%
G 87
 
7.6%
C 87
 
7.6%
M 72
 
6.3%
H 58
 
5.0%
A 44
 
3.8%
P 38
 
3.3%
Other values (14) 313
27.2%
Lowercase Letter
ValueCountFrequency (%)
e 20
14.8%
o 13
 
9.6%
n 12
 
8.9%
c 11
 
8.1%
s 10
 
7.4%
r 7
 
5.2%
g 7
 
5.2%
d 7
 
5.2%
i 7
 
5.2%
t 7
 
5.2%
Other values (10) 34
25.2%
Decimal Number
ValueCountFrequency (%)
2 172
57.9%
1 64
 
21.5%
3 39
 
13.1%
4 8
 
2.7%
6 4
 
1.3%
5 4
 
1.3%
0 3
 
1.0%
8 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 95
66.0%
& 34
 
23.6%
, 7
 
4.9%
" 4
 
2.8%
: 2
 
1.4%
/ 1
 
0.7%
＆ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 4700
> 99.9%
] 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4697
> 99.9%
[ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1229
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55336
81.7%
Common 11090
 
16.4%
Latin 1286
 
1.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5473
 
9.9%
업 1860
 
3.4%
이 1751
 
3.2%
산 1487
 
2.7%
사 1414
 
2.6%
스 1317
 
2.4%
공 1124
 
2.0%
성 1078
 
1.9%
크 1029
 
1.9%
에 961
 
1.7%
Other values (691) 37842
68.4%
Latin
ValueCountFrequency (%)
S 134
 
10.4%
E 128
 
10.0%
N 97
 
7.5%
T 93
 
7.2%
G 87
 
6.8%
C 87
 
6.8%
M 72
 
5.6%
H 58
 
4.5%
A 44
 
3.4%
P 38
 
3.0%
Other values (34) 448
34.8%
Common
ValueCountFrequency (%)
) 4700
42.4%
( 4697
42.4%
1229
 
11.1%
2 172
 
1.6%
. 95
 
0.9%
1 64
 
0.6%
3 39
 
0.4%
& 34
 
0.3%
- 18
 
0.2%
4 8
 
0.1%
Other values (12) 34
 
0.3%
Han
ValueCountFrequency (%)
林 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55309
81.7%
ASCII 12375
 
18.3%
None 28
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5473
 
9.9%
업 1860
 
3.4%
이 1751
 
3.2%
산 1487
 
2.7%
사 1414
 
2.6%
스 1317
 
2.4%
공 1124
 
2.0%
성 1078
 
1.9%
크 1029
 
1.9%
에 961
 
1.7%
Other values (690) 37815
68.4%
ASCII
ValueCountFrequency (%)
) 4700
38.0%
( 4697
38.0%
1229
 
9.9%
2 172
 
1.4%
S 134
 
1.1%
E 128
 
1.0%
N 97
 
0.8%
. 95
 
0.8%
T 93
 
0.8%
G 87
 
0.7%
Other values (55) 943
 
7.6%
None
ValueCountFrequency (%)
㈜ 27
96.4%
＆ 1
 
3.6%
CJK
ValueCountFrequency (%)
林 1
100.0%

공장대표주소(도로명)
Text

MISSING 

Distinct9281
Distinct (%)94.8%
Missing210
Missing (%)2.1%
Memory size156.2 KiB
2023-12-12T08:28:32.226054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length68
Mean length28.851481
Min length8

Characters and Unicode

Total characters282456
Distinct characters555
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8834 ?
Unique (%)90.2%

Sample

1st row경상남도 양산시 어곡로 156 (어곡동)
2nd row경상남도 함안군 칠서면 삼칠로 719 외 2필지
3rd row경상남도 창원시 의창구 대산면 봉강가술로537번길 50
4th row경상남도 창원시 성산구 공단로166번길 13-22 (신촌동)
5th row경상남도 창원시 성산구 연덕로 39 (웅남동)
ValueCountFrequency (%)
경상남도 9790
 
16.3%
김해시 3453
 
5.8%
창원시 2235
 
3.7%
외 1547
 
2.6%
양산시 1043
 
1.7%
함안군 1006
 
1.7%
성산구 887
 
1.5%
1필지 742
 
1.2%
한림면 704
 
1.2%
의창구 652
 
1.1%
Other values (8567) 37960
63.2%
2023-12-12T08:28:32.748332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50238
 
17.8%
남 10987
 
3.9%
상 10947
 
3.9%
1 10790
 
3.8%
도 9949
 
3.5%
경 9932
 
3.5%
시 8029
 
2.8%
로 6748
 
2.4%
2 6160
 
2.2%
동 6057
 
2.1%
Other values (545) 152619
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 167438
59.3%
Space Separator 50238
 
17.8%
Decimal Number 47294
 
16.7%
Open Punctuation 4852
 
1.7%
Close Punctuation 4849
 
1.7%
Dash Punctuation 3733
 
1.3%
Other Punctuation 2212
 
0.8%
Uppercase Letter 1331
 
0.5%
Lowercase Letter 504
 
0.2%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 10987
 
6.6%
상 10947
 
6.5%
도 9949
 
5.9%
경 9932
 
5.9%
시 8029
 
4.8%
로 6748
 
4.0%
동 6057
 
3.6%
면 5176
 
3.1%
산 5159
 
3.1%
길 5105
 
3.0%
Other values (490) 89349
53.4%
Uppercase Letter
ValueCountFrequency (%)
S 330
24.8%
K 311
23.4%
B 229
17.2%
A 137
10.3%
L 123
 
9.2%
T 34
 
2.6%
C 28
 
2.1%
E 21
 
1.6%
G 20
 
1.5%
M 17
 
1.3%
Other values (13) 81
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 10790
22.8%
2 6160
13.0%
3 5187
11.0%
4 4515
9.5%
5 4162
 
8.8%
6 3662
 
7.7%
0 3628
 
7.7%
7 3243
 
6.9%
9 2975
 
6.3%
8 2972
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
o 166
32.9%
t 84
16.7%
c 84
16.7%
k 83
16.5%
l 83
16.5%
x 1
 
0.2%
s 1
 
0.2%
e 1
 
0.2%
h 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 2168
98.0%
. 20
 
0.9%
& 11
 
0.5%
· 10
 
0.5%
: 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4851
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4848
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
50238
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3733
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 167440
59.3%
Common 113180
40.1%
Latin 1835
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 10987
 
6.6%
상 10947
 
6.5%
도 9949
 
5.9%
경 9932
 
5.9%
시 8029
 
4.8%
로 6748
 
4.0%
동 6057
 
3.6%
면 5176
 
3.1%
산 5159
 
3.1%
길 5105
 
3.0%
Other values (490) 89351
53.4%
Latin
ValueCountFrequency (%)
S 330
18.0%
K 311
16.9%
B 229
12.5%
o 166
9.0%
A 137
7.5%
L 123
 
6.7%
t 84
 
4.6%
c 84
 
4.6%
k 83
 
4.5%
l 83
 
4.5%
Other values (22) 205
11.2%
Common
ValueCountFrequency (%)
50238
44.4%
1 10790
 
9.5%
2 6160
 
5.4%
3 5187
 
4.6%
( 4851
 
4.3%
) 4848
 
4.3%
4 4515
 
4.0%
5 4162
 
3.7%
- 3733
 
3.3%
6 3662
 
3.2%
Other values (12) 15034
 
13.3%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 167433
59.3%
ASCII 115005
40.7%
None 13
 
< 0.1%
Compat Jamo 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50238
43.7%
1 10790
 
9.4%
2 6160
 
5.4%
3 5187
 
4.5%
( 4851
 
4.2%
) 4848
 
4.2%
4 4515
 
3.9%
5 4162
 
3.6%
- 3733
 
3.2%
6 3662
 
3.2%
Other values (43) 16859
 
14.7%
Hangul
ValueCountFrequency (%)
남 10987
 
6.6%
상 10947
 
6.5%
도 9949
 
5.9%
경 9932
 
5.9%
시 8029
 
4.8%
로 6748
 
4.0%
동 6057
 
3.6%
면 5176
 
3.1%
산 5159
 
3.1%
길 5105
 
3.0%
Other values (486) 89344
53.4%
None
ValueCountFrequency (%)
· 10
76.9%
㈜ 3
 
23.1%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
50.0%
ㄱ 1
25.0%
ㅗ 1
25.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

생산품
Text

Distinct7167
Distinct (%)71.9%
Missing32
Missing (%)0.3%
Memory size156.2 KiB
2023-12-12T08:28:33.142134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length70
Mean length8.3853331
Min length1

Characters and Unicode

Total characters83585
Distinct characters838
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6467 ?
Unique (%)64.9%

Sample

1st row밸브류
2nd row철구조물(스틸하우스 등)
3rd row크랭크 외 2종
4th rowMain Shaft
5th row베어링레이스
ValueCountFrequency (%)
및 531
 
3.1%
자동차부품 455
 
2.7%
부품 383
 
2.3%
등 312
 
1.8%
자동차 181
 
1.1%
외 158
 
0.9%
산업기계 149
 
0.9%
철구조물 143
 
0.8%
선박부품 120
 
0.7%
기계부품 115
 
0.7%
Other values (7807) 14424
85.0%
2023-12-12T08:28:33.677085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7089
 
8.5%
품 3538
 
4.2%
, 3505
 
4.2%
기 3301
 
3.9%
부 2717
 
3.3%
자 1841
 
2.2%
동 1510
 
1.8%
차 1307
 
1.6%
제 1243
 
1.5%
계 1225
 
1.5%
Other values (828) 56309
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67787
81.1%
Space Separator 7089
 
8.5%
Other Punctuation 3684
 
4.4%
Uppercase Letter 2960
 
3.5%
Lowercase Letter 915
 
1.1%
Open Punctuation 518
 
0.6%
Close Punctuation 514
 
0.6%
Decimal Number 84
 
0.1%
Dash Punctuation 24
 
< 0.1%
Modifier Symbol 6
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 3538
 
5.2%
기 3301
 
4.9%
부 2717
 
4.0%
자 1841
 
2.7%
동 1510
 
2.2%
차 1307
 
1.9%
제 1243
 
1.8%
계 1225
 
1.8%
공 1218
 
1.8%
조 1200
 
1.8%
Other values (752) 48687
71.8%
Uppercase Letter
ValueCountFrequency (%)
C 289
 
9.8%
E 277
 
9.4%
P 253
 
8.5%
S 209
 
7.1%
L 190
 
6.4%
A 187
 
6.3%
T 177
 
6.0%
R 172
 
5.8%
D 157
 
5.3%
O 155
 
5.2%
Other values (16) 894
30.2%
Lowercase Letter
ValueCountFrequency (%)
e 109
11.9%
o 84
 
9.2%
r 77
 
8.4%
a 71
 
7.8%
s 69
 
7.5%
t 58
 
6.3%
l 55
 
6.0%
c 53
 
5.8%
p 53
 
5.8%
i 45
 
4.9%
Other values (14) 241
26.3%
Decimal Number
ValueCountFrequency (%)
1 21
25.0%
2 17
20.2%
6 10
11.9%
0 10
11.9%
3 10
11.9%
8 4
 
4.8%
4 4
 
4.8%
7 3
 
3.6%
5 3
 
3.6%
9 2
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 3505
95.1%
. 91
 
2.5%
/ 60
 
1.6%
' 10
 
0.3%
& 9
 
0.2%
· 4
 
0.1%
# 2
 
0.1%
: 2
 
0.1%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7089
100.0%
Open Punctuation
ValueCountFrequency (%)
( 518
100.0%
Close Punctuation
ValueCountFrequency (%)
) 514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67786
81.1%
Common 11923
 
14.3%
Latin 3875
 
4.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 3538
 
5.2%
기 3301
 
4.9%
부 2717
 
4.0%
자 1841
 
2.7%
동 1510
 
2.2%
차 1307
 
1.9%
제 1243
 
1.8%
계 1225
 
1.8%
공 1218
 
1.8%
조 1200
 
1.8%
Other values (751) 48686
71.8%
Latin
ValueCountFrequency (%)
C 289
 
7.5%
E 277
 
7.1%
P 253
 
6.5%
S 209
 
5.4%
L 190
 
4.9%
A 187
 
4.8%
T 177
 
4.6%
R 172
 
4.4%
D 157
 
4.1%
O 155
 
4.0%
Other values (40) 1809
46.7%
Common
ValueCountFrequency (%)
7089
59.5%
, 3505
29.4%
( 518
 
4.3%
) 514
 
4.3%
. 91
 
0.8%
/ 60
 
0.5%
- 24
 
0.2%
1 21
 
0.2%
2 17
 
0.1%
6 10
 
0.1%
Other values (16) 74
 
0.6%
Han
ValueCountFrequency (%)
木 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67783
81.1%
ASCII 15794
 
18.9%
None 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7089
44.9%
, 3505
22.2%
( 518
 
3.3%
) 514
 
3.3%
C 289
 
1.8%
E 277
 
1.8%
P 253
 
1.6%
S 209
 
1.3%
L 190
 
1.2%
A 187
 
1.2%
Other values (65) 2763
 
17.5%
Hangul
ValueCountFrequency (%)
품 3538
 
5.2%
기 3301
 
4.9%
부 2717
 
4.0%
자 1841
 
2.7%
동 1510
 
2.2%
차 1307
 
1.9%
제 1243
 
1.8%
계 1225
 
1.8%
공 1218
 
1.8%
조 1200
 
1.8%
Other values (748) 48683
71.8%
None
ValueCountFrequency (%)
· 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
33.3%
ㅊ 1
33.3%
ㅡ 1
33.3%
CJK
ValueCountFrequency (%)
木 1
100.0%

업종명
Text

Distinct1476
Distinct (%)14.8%
Missing12
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T08:28:34.050523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length16.848118
Min length3

Characters and Unicode

Total characters168279
Distinct characters374
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique694 ?
Unique (%)6.9%

Sample

1st row탭, 밸브 및 유사장치 제조업
2nd row기타 구조용 금속제품 제조업
3rd row전자 응용 절삭기계 제조업
4th row절삭가공 및 유사처리업
5th row구름베어링 제조업
ValueCountFrequency (%)
제조업 7946
 
14.5%
외 5397
 
9.9%
및 3921
 
7.2%
종 3814
 
7.0%
기타 2440
 
4.5%
1 2096
 
3.8%
그 1582
 
2.9%
금속 1176
 
2.1%
부품 748
 
1.4%
신품 730
 
1.3%
Other values (856) 24856
45.4%
2023-12-12T08:28:34.604943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44728
26.6%
업 10503
 
6.2%
제 10060
 
6.0%
조 9593
 
5.7%
기 5562
 
3.3%
외 5497
 
3.3%
및 3924
 
2.3%
종 3868
 
2.3%
품 3761
 
2.2%
용 2907
 
1.7%
Other values (364) 67876
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118444
70.4%
Space Separator 44728
 
26.6%
Decimal Number 4052
 
2.4%
Other Punctuation 895
 
0.5%
Open Punctuation 80
 
< 0.1%
Close Punctuation 80
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 10503
 
8.9%
제 10060
 
8.5%
조 9593
 
8.1%
기 5562
 
4.7%
외 5497
 
4.6%
및 3924
 
3.3%
종 3868
 
3.3%
품 3761
 
3.2%
용 2907
 
2.5%
타 2499
 
2.1%
Other values (348) 60270
50.9%
Decimal Number
ValueCountFrequency (%)
1 2296
56.7%
3 618
 
15.3%
2 591
 
14.6%
4 217
 
5.4%
5 111
 
2.7%
6 76
 
1.9%
7 47
 
1.2%
8 38
 
0.9%
0 30
 
0.7%
9 28
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 867
96.9%
. 26
 
2.9%
· 2
 
0.2%
Space Separator
ValueCountFrequency (%)
44728
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118444
70.4%
Common 49835
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 10503
 
8.9%
제 10060
 
8.5%
조 9593
 
8.1%
기 5562
 
4.7%
외 5497
 
4.6%
및 3924
 
3.3%
종 3868
 
3.3%
품 3761
 
3.2%
용 2907
 
2.5%
타 2499
 
2.1%
Other values (348) 60270
50.9%
Common
ValueCountFrequency (%)
44728
89.8%
1 2296
 
4.6%
, 867
 
1.7%
3 618
 
1.2%
2 591
 
1.2%
4 217
 
0.4%
5 111
 
0.2%
( 80
 
0.2%
) 80
 
0.2%
6 76
 
0.2%
Other values (6) 171
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118368
70.3%
ASCII 49833
29.6%
Compat Jamo 76
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44728
89.8%
1 2296
 
4.6%
, 867
 
1.7%
3 618
 
1.2%
2 591
 
1.2%
4 217
 
0.4%
5 111
 
0.2%
( 80
 
0.2%
) 80
 
0.2%
6 76
 
0.2%
Other values (5) 169
 
0.3%
Hangul
ValueCountFrequency (%)
업 10503
 
8.9%
제 10060
 
8.5%
조 9593
 
8.1%
기 5562
 
4.7%
외 5497
 
4.6%
및 3924
 
3.3%
종 3868
 
3.3%
품 3761
 
3.2%
용 2907
 
2.5%
타 2499
 
2.1%
Other values (347) 60194
50.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 76
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

Interactions

2023-12-12T08:28:30.276536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T08:28:30.386957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:28:30.506090image/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.
2023-12-12T08:28:30.616776image/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

순번회사명공장대표주소(도로명)생산품업종명
1319313194사림통상경상남도 양산시 어곡로 156 (어곡동)밸브류탭, 밸브 및 유사장치 제조업
2280622807한진콘테이너경상남도 함안군 칠서면 삼칠로 719 외 2필지철구조물(스틸하우스 등)기타 구조용 금속제품 제조업
2212222123하나테크경상남도 창원시 의창구 대산면 봉강가술로537번길 50크랭크 외 2종전자 응용 절삭기계 제조업
2051020511진성철강(주)경상남도 창원시 성산구 공단로166번길 13-22 (신촌동)Main Shaft절삭가공 및 유사처리업
1142611427동양산업(주) 웅남지점경상남도 창원시 성산구 연덕로 39 (웅남동)베어링레이스구름베어링 제조업
1128011281동성가구경상남도 진주시 동진로335번길 20 (상대동)목재가구제조(가정용가구)그 외 기타 가구 제조업
1118411185동림수산경상남도 거제시 둔덕면 녹산1길 30 동림수산 외 1필지어리굴젓, 양념멍게수산동물 건조 및 염장품 제조업
21922193(주)모텍스경상남도 김해시 분성로 106-7 (외동)체육복외셔츠 및 블라우스 제조업 외 3 종
1245912460미래광고기획경상남도 남해군 남해읍 화전로38번가길 31나무간판, 현수막간판 및 광고물 제조업 외 2 종
2291422915해늘찬치즈경상남도 남해군 남면 남서대로 684-4 외 2필지치즈, 요구르트액상시유 및 기타 낙농제품 제조업
순번회사명공장대표주소(도로명)생산품업종명
1842818429정원식품경상남도 창녕군 계성면 봉산관동2길 55 외 2필지국수면류, 마카로니 및 유사식품 제조업 외 1 종
31963197(주)성진경상남도 함안군 법수면 국우로 215 ((주)성진,(주)SJ하이) (총 7 필지) 외 6필지선박부품,철구조물선박 구성 부분품 제조업 외 3 종
55265527(주)자미에프앤비경상남도 창녕군 이방면 이방로 445-27식초, 고추장, 발효원액식초, 발효 및 화학 조미료 제조업 외 2 종
1177311774두방산업(주)경상남도 사천시 축동면 오리동길 41-3 (두방산업주식회사) 외 3필지항공기, 방산, 자동차 부품무기 및 총포탄 제조업 외 23 종
1015710158대상(주)거창1공장경상남도 거창군 가조면 석강3길 127김치김치류 제조업 외 1 종
1766317664유진MT경상남도 창원시 의창구 죽전로 80 (팔용동)자동차 부품 및 공장자동화기기 부품기타 가공 공작기계 제조업
67156716(주)턴온전자경상남도 김해시 진례면 테크노밸리길 161-43SONAR RADAR 외레이더, 항행용 무선기기 및 측량기구 제조업 외 2 종
1321713218산삼사랑경상남도 함양군 수동면 우명리 1056-5번지기능성쌀기타 곡물 가공품 제조업
81138114가야수산경상남도 창원시 진해구 남문동 882-2번지 외 1필지해태수산식물 가공 및 저장 처리업
2080220803창원정밀경상남도 창원시 성산구 삼동로 100-29, 제3동 (내동)기계부품절삭가공 및 유사처리업