Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells282
Missing cells (%)0.6%
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.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3073008

Alerts

공장대표주소(도로명) has 244 (2.4%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:07:17.825079
Analysis finished2024-04-21 02:07:21.550562
Duration3.73 seconds
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%
Mean11801.841
Minimum4
Maximum23635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:07:21.747743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile1231.95
Q15919.25
median11755
Q317686.25
95-th percentile22471.05
Maximum23635
Range23631
Interquartile range (IQR)11767

Descriptive statistics

Standard deviation6807.7411
Coefficient of variation (CV)0.57683721
Kurtosis-1.1990065
Mean11801.841
Median Absolute Deviation (MAD)5880
Skewness0.017528727
Sum1.1801841 × 108
Variance46345339
MonotonicityNot monotonic
2024-04-21T11:07:22.162096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18592 1
 
< 0.1%
19771 1
 
< 0.1%
19436 1
 
< 0.1%
21133 1
 
< 0.1%
17607 1
 
< 0.1%
3652 1
 
< 0.1%
1951 1
 
< 0.1%
18914 1
 
< 0.1%
3924 1
 
< 0.1%
19486 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
18 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
ValueCountFrequency (%)
23635 1
< 0.1%
23629 1
< 0.1%
23627 1
< 0.1%
23626 1
< 0.1%
23625 1
< 0.1%
23623 1
< 0.1%
23621 1
< 0.1%
23616 1
< 0.1%
23612 1
< 0.1%
23606 1
< 0.1%

회사명
Text

Distinct9204
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T11:07:23.273622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length6.7898
Min length1

Characters and Unicode

Total characters67898
Distinct characters770
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

Unique8585 ?
Unique (%)85.9%

Sample

1st row제이케이(주)
2nd row(주)성중
3rd row(주)세호
4th row(주)광명전력
5th row대성세일테크 제2공장
ValueCountFrequency (%)
주식회사 636
 
5.7%
농업회사법인 67
 
0.6%
2공장 37
 
0.3%
제2공장 31
 
0.3%
태양광발전소 19
 
0.2%
임대사업자 15
 
0.1%
tech 13
 
0.1%
영농조합법인 11
 
0.1%
대성산업 10
 
0.1%
1공장 10
 
0.1%
Other values (9323) 10333
92.4%
2024-04-21T11:07:24.836304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5474
 
8.1%
) 4692
 
6.9%
( 4689
 
6.9%
업 1826
 
2.7%
이 1747
 
2.6%
산 1473
 
2.2%
사 1412
 
2.1%
스 1338
 
2.0%
1210
 
1.8%
크 1073
 
1.6%
Other values (760) 42964
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55500
81.7%
Close Punctuation 4692
 
6.9%
Open Punctuation 4689
 
6.9%
Uppercase Letter 1250
 
1.8%
Space Separator 1210
 
1.8%
Decimal Number 274
 
0.4%
Other Punctuation 148
 
0.2%
Lowercase Letter 89
 
0.1%
Other Symbol 31
 
< 0.1%
Dash Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5474
 
9.9%
업 1826
 
3.3%
이 1747
 
3.1%
산 1473
 
2.7%
사 1412
 
2.5%
스 1338
 
2.4%
크 1073
 
1.9%
공 1053
 
1.9%
성 1038
 
1.9%
에 987
 
1.8%
Other values (691) 38079
68.6%
Uppercase Letter
ValueCountFrequency (%)
S 141
11.3%
E 135
10.8%
T 105
 
8.4%
N 104
 
8.3%
C 97
 
7.8%
G 94
 
7.5%
M 83
 
6.6%
H 65
 
5.2%
K 46
 
3.7%
A 44
 
3.5%
Other values (16) 336
26.9%
Lowercase Letter
ValueCountFrequency (%)
e 16
18.0%
s 8
 
9.0%
n 7
 
7.9%
o 6
 
6.7%
t 6
 
6.7%
c 6
 
6.7%
h 5
 
5.6%
a 5
 
5.6%
g 5
 
5.6%
y 4
 
4.5%
Other values (11) 21
23.6%
Decimal Number
ValueCountFrequency (%)
2 145
52.9%
1 61
22.3%
3 39
 
14.2%
4 14
 
5.1%
6 4
 
1.5%
0 3
 
1.1%
8 3
 
1.1%
5 3
 
1.1%
7 1
 
0.4%
9 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 97
65.5%
& 39
26.4%
, 5
 
3.4%
/ 4
 
2.7%
" 2
 
1.4%
· 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 4692
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4689
100.0%
Space Separator
ValueCountFrequency (%)
1210
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55529
81.8%
Common 11028
 
16.2%
Latin 1339
 
2.0%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5474
 
9.9%
업 1826
 
3.3%
이 1747
 
3.1%
산 1473
 
2.7%
사 1412
 
2.5%
스 1338
 
2.4%
크 1073
 
1.9%
공 1053
 
1.9%
성 1038
 
1.9%
에 987
 
1.8%
Other values (690) 38108
68.6%
Latin
ValueCountFrequency (%)
S 141
 
10.5%
E 135
 
10.1%
T 105
 
7.8%
N 104
 
7.8%
C 97
 
7.2%
G 94
 
7.0%
M 83
 
6.2%
H 65
 
4.9%
K 46
 
3.4%
A 44
 
3.3%
Other values (37) 425
31.7%
Common
ValueCountFrequency (%)
) 4692
42.5%
( 4689
42.5%
1210
 
11.0%
2 145
 
1.3%
. 97
 
0.9%
1 61
 
0.6%
& 39
 
0.4%
3 39
 
0.4%
4 14
 
0.1%
- 14
 
0.1%
Other values (11) 28
 
0.3%
Han
ValueCountFrequency (%)
瞳 1
50.0%
暎 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55496
81.7%
ASCII 12366
 
18.2%
None 32
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5474
 
9.9%
업 1826
 
3.3%
이 1747
 
3.1%
산 1473
 
2.7%
사 1412
 
2.5%
스 1338
 
2.4%
크 1073
 
1.9%
공 1053
 
1.9%
성 1038
 
1.9%
에 987
 
1.8%
Other values (687) 38075
68.6%
ASCII
ValueCountFrequency (%)
) 4692
37.9%
( 4689
37.9%
1210
 
9.8%
2 145
 
1.2%
S 141
 
1.1%
E 135
 
1.1%
T 105
 
0.8%
N 104
 
0.8%
C 97
 
0.8%
. 97
 
0.8%
Other values (57) 951
 
7.7%
None
ValueCountFrequency (%)
㈜ 31
96.9%
· 1
 
3.1%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
50.0%
ㅇ 1
50.0%
CJK
ValueCountFrequency (%)
瞳 1
50.0%
暎 1
50.0%

공장대표주소(도로명)
Text

MISSING 

Distinct9251
Distinct (%)94.8%
Missing244
Missing (%)2.4%
Memory size156.2 KiB
2024-04-21T11:07:25.882483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length72
Mean length28.906519
Min length6

Characters and Unicode

Total characters282012
Distinct characters572
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8811 ?
Unique (%)90.3%

Sample

1st row경상남도 거제시 둔덕면 법동어구로 644 외 1필지
2nd row경상남도 김해시 주촌면 서부로1743번길 52
3rd row경상남도 김해시 한림면 안하로116번길 22-20 (총 2 필지)
4th row경상남도 함안군 군북면 함안산단2길 49-20
5th row경상남도 양산시 상북면 충렬로 504
ValueCountFrequency (%)
경상남도 9750
 
16.3%
김해시 3478
 
5.8%
창원시 2212
 
3.7%
외 1475
 
2.5%
양산시 1073
 
1.8%
함안군 963
 
1.6%
성산구 929
 
1.6%
1필지 685
 
1.1%
한림면 676
 
1.1%
의창구 601
 
1.0%
Other values (8595) 38007
63.5%
2024-04-21T11:07:27.225979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50100
 
17.8%
남 10947
 
3.9%
상 10859
 
3.9%
1 10713
 
3.8%
경 9910
 
3.5%
도 9895
 
3.5%
시 7965
 
2.8%
로 6668
 
2.4%
2 6155
 
2.2%
동 6064
 
2.2%
Other values (562) 152736
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 167093
59.3%
Space Separator 50100
 
17.8%
Decimal Number 47180
 
16.7%
Open Punctuation 4737
 
1.7%
Close Punctuation 4735
 
1.7%
Dash Punctuation 3792
 
1.3%
Other Punctuation 2207
 
0.8%
Uppercase Letter 1498
 
0.5%
Lowercase Letter 665
 
0.2%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 10947
 
6.6%
상 10859
 
6.5%
경 9910
 
5.9%
도 9895
 
5.9%
시 7965
 
4.8%
로 6668
 
4.0%
동 6064
 
3.6%
산 5311
 
3.2%
면 5161
 
3.1%
길 5077
 
3.0%
Other values (501) 89236
53.4%
Uppercase Letter
ValueCountFrequency (%)
S 342
22.8%
K 321
21.4%
B 282
18.8%
A 170
11.3%
L 151
10.1%
C 39
 
2.6%
T 28
 
1.9%
G 27
 
1.8%
E 25
 
1.7%
N 22
 
1.5%
Other values (13) 91
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
o 214
32.2%
c 110
16.5%
l 108
16.2%
t 108
16.2%
k 107
16.1%
a 4
 
0.6%
n 4
 
0.6%
e 2
 
0.3%
s 1
 
0.2%
x 1
 
0.2%
Other values (6) 6
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 10713
22.7%
2 6155
13.0%
3 5172
11.0%
4 4607
9.8%
5 4178
 
8.9%
6 3611
 
7.7%
0 3595
 
7.6%
7 3090
 
6.5%
9 3031
 
6.4%
8 3028
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 2169
98.3%
. 20
 
0.9%
& 8
 
0.4%
/ 4
 
0.2%
· 4
 
0.2%
: 2
 
0.1%
Space Separator
ValueCountFrequency (%)
50100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4737
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4735
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3792
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 167096
59.3%
Common 112753
40.0%
Latin 2163
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 10947
 
6.6%
상 10859
 
6.5%
경 9910
 
5.9%
도 9895
 
5.9%
시 7965
 
4.8%
로 6668
 
4.0%
동 6064
 
3.6%
산 5311
 
3.2%
면 5161
 
3.1%
길 5077
 
3.0%
Other values (502) 89239
53.4%
Latin
ValueCountFrequency (%)
S 342
15.8%
K 321
14.8%
B 282
13.0%
o 214
9.9%
A 170
7.9%
L 151
7.0%
c 110
 
5.1%
l 108
 
5.0%
t 108
 
5.0%
k 107
 
4.9%
Other values (29) 250
11.6%
Common
ValueCountFrequency (%)
50100
44.4%
1 10713
 
9.5%
2 6155
 
5.5%
3 5172
 
4.6%
( 4737
 
4.2%
) 4735
 
4.2%
4 4607
 
4.1%
5 4178
 
3.7%
- 3792
 
3.4%
6 3611
 
3.2%
Other values (11) 14953
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 167089
59.2%
ASCII 114912
40.7%
None 7
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50100
43.6%
1 10713
 
9.3%
2 6155
 
5.4%
3 5172
 
4.5%
( 4737
 
4.1%
) 4735
 
4.1%
4 4607
 
4.0%
5 4178
 
3.6%
- 3792
 
3.3%
6 3611
 
3.1%
Other values (49) 17112
 
14.9%
Hangul
ValueCountFrequency (%)
남 10947
 
6.6%
상 10859
 
6.5%
경 9910
 
5.9%
도 9895
 
5.9%
시 7965
 
4.8%
로 6668
 
4.0%
동 6064
 
3.6%
산 5311
 
3.2%
면 5161
 
3.1%
길 5077
 
3.0%
Other values (497) 89232
53.4%
None
ValueCountFrequency (%)
· 4
57.1%
㈜ 3
42.9%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
25.0%
ㅗ 1
25.0%
ㄱ 1
25.0%
ㄴ 1
25.0%

생산품
Text

Distinct7145
Distinct (%)71.6%
Missing27
Missing (%)0.3%
Memory size156.2 KiB
2024-04-21T11:07:28.248532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length70
Mean length8.4271533
Min length1

Characters and Unicode

Total characters84044
Distinct characters856
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6417 ?
Unique (%)64.3%

Sample

1st row선박용 철가공
2nd row용기
3rd row폴리에스테르우레탄수지
4th row철제케이스 및 구조용 금속제품
5th row호스 닙플
ValueCountFrequency (%)
및 552
 
3.2%
자동차부품 426
 
2.5%
부품 374
 
2.2%
등 320
 
1.9%
자동차 191
 
1.1%
외 158
 
0.9%
철구조물 145
 
0.8%
산업기계 132
 
0.8%
선박부품 114
 
0.7%
기계부품 113
 
0.7%
Other values (7816) 14565
85.2%
2024-04-21T11:07:29.532971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7245
 
8.6%
, 3530
 
4.2%
품 3456
 
4.1%
기 3371
 
4.0%
부 2604
 
3.1%
자 1813
 
2.2%
동 1460
 
1.7%
제 1247
 
1.5%
차 1226
 
1.5%
공 1224
 
1.5%
Other values (846) 56868
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67931
80.8%
Space Separator 7245
 
8.6%
Other Punctuation 3715
 
4.4%
Uppercase Letter 2934
 
3.5%
Lowercase Letter 1079
 
1.3%
Open Punctuation 491
 
0.6%
Close Punctuation 489
 
0.6%
Decimal Number 111
 
0.1%
Dash Punctuation 38
 
< 0.1%
Control 4
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 3456
 
5.1%
기 3371
 
5.0%
부 2604
 
3.8%
자 1813
 
2.7%
동 1460
 
2.1%
제 1247
 
1.8%
차 1226
 
1.8%
공 1224
 
1.8%
조 1221
 
1.8%
계 1185
 
1.7%
Other values (766) 49124
72.3%
Uppercase Letter
ValueCountFrequency (%)
E 276
 
9.4%
C 273
 
9.3%
P 251
 
8.6%
S 207
 
7.1%
L 188
 
6.4%
A 174
 
5.9%
T 174
 
5.9%
R 171
 
5.8%
D 163
 
5.6%
O 152
 
5.2%
Other values (16) 905
30.8%
Lowercase Letter
ValueCountFrequency (%)
e 134
12.4%
r 96
 
8.9%
o 88
 
8.2%
a 82
 
7.6%
t 80
 
7.4%
l 71
 
6.6%
s 67
 
6.2%
c 64
 
5.9%
p 62
 
5.7%
i 62
 
5.7%
Other values (14) 273
25.3%
Decimal Number
ValueCountFrequency (%)
1 24
21.6%
0 21
18.9%
3 17
15.3%
2 17
15.3%
5 9
 
8.1%
6 8
 
7.2%
8 5
 
4.5%
7 4
 
3.6%
4 4
 
3.6%
9 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 3530
95.0%
. 93
 
2.5%
/ 63
 
1.7%
' 15
 
0.4%
& 9
 
0.2%
# 2
 
0.1%
: 1
 
< 0.1%
% 1
 
< 0.1%
· 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 1
33.3%
> 1
33.3%
~ 1
33.3%
Control
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
75.0%
˙ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
7245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 491
100.0%
Close Punctuation
ValueCountFrequency (%)
) 489
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67928
80.8%
Common 12100
 
14.4%
Latin 4013
 
4.8%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 3456
 
5.1%
기 3371
 
5.0%
부 2604
 
3.8%
자 1813
 
2.7%
동 1460
 
2.1%
제 1247
 
1.8%
차 1226
 
1.8%
공 1224
 
1.8%
조 1221
 
1.8%
계 1185
 
1.7%
Other values (763) 49121
72.3%
Latin
ValueCountFrequency (%)
E 276
 
6.9%
C 273
 
6.8%
P 251
 
6.3%
S 207
 
5.2%
L 188
 
4.7%
A 174
 
4.3%
T 174
 
4.3%
R 171
 
4.3%
D 163
 
4.1%
O 152
 
3.8%
Other values (40) 1984
49.4%
Common
ValueCountFrequency (%)
7245
59.9%
, 3530
29.2%
( 491
 
4.1%
) 489
 
4.0%
. 93
 
0.8%
/ 63
 
0.5%
- 38
 
0.3%
1 24
 
0.2%
0 21
 
0.2%
3 17
 
0.1%
Other values (20) 89
 
0.7%
Han
ValueCountFrequency (%)
棺 1
33.3%
葬 1
33.3%
火 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67926
80.8%
ASCII 16111
 
19.2%
CJK 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Modifier Letters 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7245
45.0%
, 3530
21.9%
( 491
 
3.0%
) 489
 
3.0%
E 276
 
1.7%
C 273
 
1.7%
P 251
 
1.6%
S 207
 
1.3%
L 188
 
1.2%
A 174
 
1.1%
Other values (68) 2987
18.5%
Hangul
ValueCountFrequency (%)
품 3456
 
5.1%
기 3371
 
5.0%
부 2604
 
3.8%
자 1813
 
2.7%
동 1460
 
2.1%
제 1247
 
1.8%
차 1226
 
1.8%
공 1224
 
1.8%
조 1221
 
1.8%
계 1185
 
1.7%
Other values (761) 49119
72.3%
CJK
ValueCountFrequency (%)
棺 1
33.3%
葬 1
33.3%
火 1
33.3%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
50.0%
ㅓ 1
50.0%

업종명
Text

Distinct1487
Distinct (%)14.9%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2024-04-21T11:07:30.622962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length16.89999
Min length3

Characters and Unicode

Total characters168814
Distinct characters374
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

Unique687 ?
Unique (%)6.9%

Sample

1st row선박 구성 부분품 제조업
2nd row포장용 플라스틱 성형용기 제조업
3rd row폴리스티렌 발포 성형제품 제조업 외 1 종
4th row기타 구조용 금속제품 제조업
5th row강관 제조업 외 1 종
ValueCountFrequency (%)
제조업 7972
 
14.5%
외 5467
 
10.0%
종 3861
 
7.0%
및 3837
 
7.0%
기타 2492
 
4.5%
1 2095
 
3.8%
그 1603
 
2.9%
금속 1167
 
2.1%
부품 743
 
1.4%
신품 711
 
1.3%
Other values (847) 24884
45.4%
2024-04-21T11:07:31.970232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44853
26.6%
업 10464
 
6.2%
제 10086
 
6.0%
조 9682
 
5.7%
기 5706
 
3.4%
외 5565
 
3.3%
종 3919
 
2.3%
및 3839
 
2.3%
품 3778
 
2.2%
용 2932
 
1.7%
Other values (364) 67990
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118789
70.4%
Space Separator 44853
 
26.6%
Decimal Number 4104
 
2.4%
Other Punctuation 908
 
0.5%
Close Punctuation 80
 
< 0.1%
Open Punctuation 80
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 10464
 
8.8%
제 10086
 
8.5%
조 9682
 
8.2%
기 5706
 
4.8%
외 5565
 
4.7%
종 3919
 
3.3%
및 3839
 
3.2%
품 3778
 
3.2%
용 2932
 
2.5%
타 2541
 
2.1%
Other values (349) 60277
50.7%
Decimal Number
ValueCountFrequency (%)
1 2301
56.1%
2 634
 
15.4%
3 604
 
14.7%
4 228
 
5.6%
5 115
 
2.8%
6 82
 
2.0%
7 46
 
1.1%
8 36
 
0.9%
9 31
 
0.8%
0 27
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 869
95.7%
. 39
 
4.3%
Space Separator
ValueCountFrequency (%)
44853
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118789
70.4%
Common 50025
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 10464
 
8.8%
제 10086
 
8.5%
조 9682
 
8.2%
기 5706
 
4.8%
외 5565
 
4.7%
종 3919
 
3.3%
및 3839
 
3.2%
품 3778
 
3.2%
용 2932
 
2.5%
타 2541
 
2.1%
Other values (349) 60277
50.7%
Common
ValueCountFrequency (%)
44853
89.7%
1 2301
 
4.6%
, 869
 
1.7%
2 634
 
1.3%
3 604
 
1.2%
4 228
 
0.5%
5 115
 
0.2%
6 82
 
0.2%
) 80
 
0.2%
( 80
 
0.2%
Other values (5) 179
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118722
70.3%
ASCII 50025
29.6%
Compat Jamo 67
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44853
89.7%
1 2301
 
4.6%
, 869
 
1.7%
2 634
 
1.3%
3 604
 
1.2%
4 228
 
0.5%
5 115
 
0.2%
6 82
 
0.2%
) 80
 
0.2%
( 80
 
0.2%
Other values (5) 179
 
0.4%
Hangul
ValueCountFrequency (%)
업 10464
 
8.8%
제 10086
 
8.5%
조 9682
 
8.2%
기 5706
 
4.8%
외 5565
 
4.7%
종 3919
 
3.3%
및 3839
 
3.2%
품 3778
 
3.2%
용 2932
 
2.5%
타 2541
 
2.1%
Other values (348) 60210
50.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 67
100.0%

Interactions

2024-04-21T11:07:20.483380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-21T11:07:20.804113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:07:21.130639image/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.
2024-04-21T11:07:21.418953image/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
1859118592제이케이(주)경상남도 거제시 둔덕면 법동어구로 644 외 1필지선박용 철가공선박 구성 부분품 제조업
31913192(주)성중경상남도 김해시 주촌면 서부로1743번길 52용기포장용 플라스틱 성형용기 제조업
34353436(주)세호경상남도 김해시 한림면 안하로116번길 22-20 (총 2 필지)폴리에스테르우레탄수지폴리스티렌 발포 성형제품 제조업 외 1 종
446447(주)광명전력경상남도 함안군 군북면 함안산단2길 49-20철제케이스 및 구조용 금속제품기타 구조용 금속제품 제조업
1025210253대성세일테크 제2공장경상남도 양산시 상북면 충렬로 504호스 닙플강관 제조업 외 1 종
1726417265운포도예경상남도 합천군 가야면 매화2길 6-9장식용도자기가정용 및 장식용 도자기 제조업
34513452(주)셀트리랩경상남도 양산시 상북면 좌삼길 73양이온계면활성제계면활성제 제조업
1564115642씨제이대한통운주식회사<NA>운송업일반 화물자동차 운송업
1830718308재헌공업경상남도 진주시 돗골로70번길 7 (상평동)농기계부품농업 및 임업용 기계 제조업
2220322204하이콘경상남도 함안군 칠원읍 갈티길 87자동차 냉온 컵홀더알루미늄 압연, 압출 및 연신제품 제조업
순번회사명공장대표주소(도로명)생산품업종명
1576915770아이티알인더스트리즈(주) 2공장경상남도 진주시 사봉면 사군로303번길 28중장비 부품기어 및 동력전달장치 제조업
73397340(주)함안중공업경상남도 함안군 법수면 장백로 809-1제철설비육상 금속 골조 구조재 제조업 외 1 종
1685916860와이비엔지니어링(주)경상남도 양산시 상북면 어곡터널로 208선박구성부품, 약품투입기선박 구성 부분품 제조업 외 5 종
2065020651진테크경상남도 창원시 의창구 죽전로68번길 7 (팔용동, (주)광진기업)금형부품주형 및 금형 제조업
1726817269울하공업사경상남도 김해시 진영읍 본산리 366-3번지자동차부품자동차 차체용 신품 부품 제조업 외 1 종
54555456(주)인터뱅크경상남도 창원시 성산구 남면로 219, 1동 1층 2호 (대원동) 1동 1층 2호원자력 및 수화력발전제어반, 제어장치 등배전반 및 전기 자동제어반 제조업 외 1 종
79757976TNF Inexa Korea(주)경상남도 양산시 어곡공단5길 18 (어곡동)구조용 금속판기타 구조용 금속제품 제조업
1725817259욱일금속경상남도 김해시 주촌면 서부로1499번길 68-22주물선철주물 주조업
1812118122일영산업경상남도 진주시 도동로87번길 17 (상평동)씽크재료및가구제조기타 목재가구 제조업
2320823209협성화학(주)경상남도 김해시 삼안로 23 (안동)스치로폴폴리스티렌 발포 성형제품 제조업 외 1 종