Overview

Dataset statistics

Number of variables5
Number of observations4577
Missing cells14
Missing cells (%)0.1%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory183.4 KiB
Average record size in memory41.0 B

Variable types

Numeric1
Text4

Dataset

Description경남 창원시 관내(의창구, 성산구, 마산합포구, 마산회원구, 진해구)에 소재하고 있으며 제조업 공장으로 등록된 현황을 제공합니다.(2021년 8월 31일 기준)
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3066436

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-10 22:59:40.060796
Analysis finished2023-12-10 22:59:41.390145
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

Distinct4574
Distinct (%)100.0%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2287.5
Minimum1
Maximum4574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.4 KiB
2023-12-11T07:59:41.458806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile229.65
Q11144.25
median2287.5
Q33430.75
95-th percentile4345.35
Maximum4574
Range4573
Interquartile range (IQR)2286.5

Descriptive statistics

Standard deviation1320.5444
Coefficient of variation (CV)0.57728717
Kurtosis-1.2
Mean2287.5
Median Absolute Deviation (MAD)1143.5
Skewness0
Sum10463025
Variance1743837.5
MonotonicityStrictly increasing
2023-12-11T07:59:41.610363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3049 1
 
< 0.1%
3055 1
 
< 0.1%
3054 1
 
< 0.1%
3053 1
 
< 0.1%
3052 1
 
< 0.1%
3051 1
 
< 0.1%
3050 1
 
< 0.1%
3048 1
 
< 0.1%
3057 1
 
< 0.1%
3047 1
 
< 0.1%
Other values (4564) 4564
99.7%
(Missing) 3
 
0.1%
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 (%)
4574 1
< 0.1%
4573 1
< 0.1%
4572 1
< 0.1%
4571 1
< 0.1%
4570 1
< 0.1%
4569 1
< 0.1%
4568 1
< 0.1%
4567 1
< 0.1%
4566 1
< 0.1%
4565 1
< 0.1%
Distinct4207
Distinct (%)92.0%
Missing2
Missing (%)< 0.1%
Memory size35.9 KiB
2023-12-11T07:59:41.850279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length23
Mean length6.4830601
Min length2

Characters and Unicode

Total characters29660
Distinct characters611
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3911 ?
Unique (%)85.5%

Sample

1st row(사)한국장애인사회복지회사회복지부
2nd row(윈펠)WINPELL
3rd row(유)국제보링1급정비
4th row(유)두루산업사
5th row(유)리앤리테크
ValueCountFrequency (%)
주식회사 258
 
5.1%
창원공장 25
 
0.5%
2공장 24
 
0.5%
1공장 15
 
0.3%
tech 11
 
0.2%
제2공장 10
 
0.2%
9
 
0.2%
유한책임회사 8
 
0.2%
농업회사법인 6
 
0.1%
주)신화eng 5
 
0.1%
Other values (4235) 4712
92.7%
2023-12-11T07:59:42.266950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2259
 
7.6%
( 1980
 
6.7%
) 1980
 
6.7%
838
 
2.8%
721
 
2.4%
695
 
2.3%
625
 
2.1%
593
 
2.0%
523
 
1.8%
519
 
1.7%
Other values (601) 18927
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24031
81.0%
Open Punctuation 1980
 
6.7%
Close Punctuation 1980
 
6.7%
Uppercase Letter 865
 
2.9%
Space Separator 519
 
1.7%
Decimal Number 123
 
0.4%
Lowercase Letter 61
 
0.2%
Other Punctuation 59
 
0.2%
Dash Punctuation 22
 
0.1%
Other Symbol 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2259
 
9.4%
838
 
3.5%
721
 
3.0%
695
 
2.9%
625
 
2.6%
593
 
2.5%
523
 
2.2%
514
 
2.1%
486
 
2.0%
475
 
2.0%
Other values (540) 16302
67.8%
Uppercase Letter
ValueCountFrequency (%)
E 98
11.3%
T 94
10.9%
S 83
 
9.6%
C 73
 
8.4%
N 60
 
6.9%
M 59
 
6.8%
G 54
 
6.2%
H 49
 
5.7%
A 41
 
4.7%
K 31
 
3.6%
Other values (15) 223
25.8%
Lowercase Letter
ValueCountFrequency (%)
e 12
19.7%
n 8
13.1%
c 7
11.5%
h 6
9.8%
i 6
9.8%
s 3
 
4.9%
g 3
 
4.9%
d 3
 
4.9%
t 3
 
4.9%
l 2
 
3.3%
Other values (8) 8
13.1%
Decimal Number
ValueCountFrequency (%)
2 66
53.7%
1 33
26.8%
3 11
 
8.9%
4 6
 
4.9%
8 2
 
1.6%
7 2
 
1.6%
9 2
 
1.6%
5 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 33
55.9%
& 20
33.9%
, 4
 
6.8%
' 1
 
1.7%
/ 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 1980
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1980
100.0%
Space Separator
ValueCountFrequency (%)
519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Symbol
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24041
81.1%
Common 4683
 
15.8%
Latin 926
 
3.1%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2259
 
9.4%
838
 
3.5%
721
 
3.0%
695
 
2.9%
625
 
2.6%
593
 
2.5%
523
 
2.2%
514
 
2.1%
486
 
2.0%
475
 
2.0%
Other values (531) 16312
67.9%
Latin
ValueCountFrequency (%)
E 98
 
10.6%
T 94
 
10.2%
S 83
 
9.0%
C 73
 
7.9%
N 60
 
6.5%
M 59
 
6.4%
G 54
 
5.8%
H 49
 
5.3%
A 41
 
4.4%
K 31
 
3.3%
Other values (33) 284
30.7%
Common
ValueCountFrequency (%)
( 1980
42.3%
) 1980
42.3%
519
 
11.1%
2 66
 
1.4%
1 33
 
0.7%
. 33
 
0.7%
- 22
 
0.5%
& 20
 
0.4%
3 11
 
0.2%
4 6
 
0.1%
Other values (7) 13
 
0.3%
Han
ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24021
81.0%
ASCII 5609
 
18.9%
None 20
 
0.1%
CJK 10
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2259
 
9.4%
838
 
3.5%
721
 
3.0%
695
 
2.9%
625
 
2.6%
593
 
2.5%
523
 
2.2%
514
 
2.1%
486
 
2.0%
475
 
2.0%
Other values (530) 16292
67.8%
ASCII
ValueCountFrequency (%)
( 1980
35.3%
) 1980
35.3%
519
 
9.3%
E 98
 
1.7%
T 94
 
1.7%
S 83
 
1.5%
C 73
 
1.3%
2 66
 
1.2%
N 60
 
1.1%
M 59
 
1.1%
Other values (50) 597
 
10.6%
None
ValueCountFrequency (%)
20
100.0%
CJK
ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Distinct4004
Distinct (%)87.5%
Missing3
Missing (%)0.1%
Memory size35.9 KiB
2023-12-11T07:59:42.597155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length61
Mean length35.434412
Min length17

Characters and Unicode

Total characters162077
Distinct characters454
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

Unique3594 ?
Unique (%)78.6%

Sample

1st row경상남도 창원시 진해구 웅천동로 204 (성내동)
2nd row경상남도 창원시 성산구 연덕로27번길 60 (웅남동)
3rd row경상남도 창원시 마산회원구 내서읍 중리공단로 149 (현대자동차서비스)
4th row경상남도 창원시 마산회원구 봉암공단9길 10 (봉암동, (유)두루산업사)
5th row경상남도 창원시 성산구 반월로 16 (신촌동) 외 2필지
ValueCountFrequency (%)
경상남도 4574
 
13.6%
창원시 4574
 
13.6%
성산구 1753
 
5.2%
의창구 1252
 
3.7%
마산회원구 890
 
2.6%
팔용동 763
 
2.3%
성산동 569
 
1.7%
완암로 567
 
1.7%
50 506
 
1.5%
sk테크노파크 485
 
1.4%
Other values (3319) 17735
52.7%
2023-12-11T07:59:43.136003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29094
 
18.0%
6164
 
3.8%
5804
 
3.6%
5781
 
3.6%
5118
 
3.2%
1 5041
 
3.1%
4696
 
2.9%
4620
 
2.9%
4613
 
2.8%
4597
 
2.8%
Other values (444) 86549
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97171
60.0%
Space Separator 29094
 
18.0%
Decimal Number 22230
 
13.7%
Close Punctuation 4199
 
2.6%
Open Punctuation 4197
 
2.6%
Other Punctuation 2794
 
1.7%
Uppercase Letter 1357
 
0.8%
Dash Punctuation 1009
 
0.6%
Lowercase Letter 22
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6164
 
6.3%
5804
 
6.0%
5781
 
5.9%
5118
 
5.3%
4696
 
4.8%
4620
 
4.8%
4613
 
4.7%
4597
 
4.7%
4587
 
4.7%
4561
 
4.7%
Other values (386) 46630
48.0%
Uppercase Letter
ValueCountFrequency (%)
S 509
37.5%
K 499
36.8%
B 132
 
9.7%
A 37
 
2.7%
C 33
 
2.4%
T 27
 
2.0%
N 17
 
1.3%
G 17
 
1.3%
E 16
 
1.2%
I 11
 
0.8%
Other values (13) 59
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
n 4
18.2%
a 4
18.2%
c 3
13.6%
e 2
9.1%
h 1
 
4.5%
x 1
 
4.5%
t 1
 
4.5%
s 1
 
4.5%
g 1
 
4.5%
i 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
1 5041
22.7%
2 2827
12.7%
3 2508
11.3%
0 2228
10.0%
5 2160
9.7%
4 2018
9.1%
6 1633
 
7.3%
7 1516
 
6.8%
8 1183
 
5.3%
9 1116
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 2758
98.7%
· 22
 
0.8%
. 10
 
0.4%
& 4
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4198
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4196
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
29094
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1009
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97172
60.0%
Common 63525
39.2%
Latin 1379
 
0.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6164
 
6.3%
5804
 
6.0%
5781
 
5.9%
5118
 
5.3%
4696
 
4.8%
4620
 
4.8%
4613
 
4.7%
4597
 
4.7%
4587
 
4.7%
4561
 
4.7%
Other values (386) 46631
48.0%
Latin
ValueCountFrequency (%)
S 509
36.9%
K 499
36.2%
B 132
 
9.6%
A 37
 
2.7%
C 33
 
2.4%
T 27
 
2.0%
N 17
 
1.2%
G 17
 
1.2%
E 16
 
1.2%
I 11
 
0.8%
Other values (26) 81
 
5.9%
Common
ValueCountFrequency (%)
29094
45.8%
1 5041
 
7.9%
) 4198
 
6.6%
( 4196
 
6.6%
2 2827
 
4.5%
, 2758
 
4.3%
3 2508
 
3.9%
0 2228
 
3.5%
5 2160
 
3.4%
4 2018
 
3.2%
Other values (11) 6497
 
10.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97167
60.0%
ASCII 64882
40.0%
None 24
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29094
44.8%
1 5041
 
7.8%
) 4198
 
6.5%
( 4196
 
6.5%
2 2827
 
4.4%
, 2758
 
4.3%
3 2508
 
3.9%
0 2228
 
3.4%
5 2160
 
3.3%
4 2018
 
3.1%
Other values (46) 7854
 
12.1%
Hangul
ValueCountFrequency (%)
6164
 
6.3%
5804
 
6.0%
5781
 
5.9%
5118
 
5.3%
4696
 
4.8%
4620
 
4.8%
4613
 
4.7%
4597
 
4.7%
4587
 
4.7%
4561
 
4.7%
Other values (382) 46626
48.0%
None
ValueCountFrequency (%)
· 22
91.7%
2
 
8.3%
CJK
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct904
Distinct (%)19.8%
Missing3
Missing (%)0.1%
Memory size35.9 KiB
2023-12-11T07:59:43.467012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length16.213599
Min length3

Characters and Unicode

Total characters74161
Distinct characters328
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

Unique478 ?
Unique (%)10.5%

Sample

1st row구조용 금속 판제품 및 공작물 제조업 외 1 종
2nd row전투용 차량 제조업
3rd row자동차 구조 및 장치 변경업 외 1 종
4th row공기 조화장치 제조업 외 2 종
5th row그 외 자동차용 신품 부품 제조업 외 3 종
ValueCountFrequency (%)
제조업 3526
 
14.9%
2294
 
9.7%
2075
 
8.8%
1646
 
7.0%
기타 1075
 
4.5%
1 801
 
3.4%
648
 
2.7%
절삭가공 575
 
2.4%
유사처리업 575
 
2.4%
금속 504
 
2.1%
Other values (614) 9942
42.0%
2023-12-11T07:59:43.951200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19100
25.8%
4759
 
6.4%
4304
 
5.8%
3972
 
5.4%
3213
 
4.3%
2328
 
3.1%
2075
 
2.8%
1652
 
2.2%
1301
 
1.8%
1151
 
1.6%
Other values (318) 30306
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52901
71.3%
Space Separator 19100
 
25.8%
Decimal Number 1806
 
2.4%
Other Punctuation 322
 
0.4%
Close Punctuation 16
 
< 0.1%
Open Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4759
 
9.0%
4304
 
8.1%
3972
 
7.5%
3213
 
6.1%
2328
 
4.4%
2075
 
3.9%
1652
 
3.1%
1301
 
2.5%
1151
 
2.2%
1117
 
2.1%
Other values (303) 27029
51.1%
Decimal Number
ValueCountFrequency (%)
1 943
52.2%
2 293
 
16.2%
3 231
 
12.8%
4 126
 
7.0%
5 72
 
4.0%
7 41
 
2.3%
6 41
 
2.3%
8 31
 
1.7%
0 15
 
0.8%
9 13
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 305
94.7%
. 17
 
5.3%
Space Separator
ValueCountFrequency (%)
19100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52901
71.3%
Common 21260
28.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4759
 
9.0%
4304
 
8.1%
3972
 
7.5%
3213
 
6.1%
2328
 
4.4%
2075
 
3.9%
1652
 
3.1%
1301
 
2.5%
1151
 
2.2%
1117
 
2.1%
Other values (303) 27029
51.1%
Common
ValueCountFrequency (%)
19100
89.8%
1 943
 
4.4%
, 305
 
1.4%
2 293
 
1.4%
3 231
 
1.1%
4 126
 
0.6%
5 72
 
0.3%
7 41
 
0.2%
6 41
 
0.2%
8 31
 
0.1%
Other values (5) 77
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52888
71.3%
ASCII 21260
28.7%
Compat Jamo 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19100
89.8%
1 943
 
4.4%
, 305
 
1.4%
2 293
 
1.4%
3 231
 
1.1%
4 126
 
0.6%
5 72
 
0.3%
7 41
 
0.2%
6 41
 
0.2%
8 31
 
0.1%
Other values (5) 77
 
0.4%
Hangul
ValueCountFrequency (%)
4759
 
9.0%
4304
 
8.1%
3972
 
7.5%
3213
 
6.1%
2328
 
4.4%
2075
 
3.9%
1652
 
3.1%
1301
 
2.5%
1151
 
2.2%
1117
 
2.1%
Other values (302) 27016
51.1%
Compat Jamo
ValueCountFrequency (%)
13
100.0%
Distinct3608
Distinct (%)78.9%
Missing3
Missing (%)0.1%
Memory size35.9 KiB
2023-12-11T07:59:44.254561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length53
Mean length9.9490599
Min length1

Characters and Unicode

Total characters45507
Distinct characters702
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3340 ?
Unique (%)73.0%

Sample

1st row울타리,난간
2nd row차륜형 장갑차 휠(림/디스크)
3rd row자동차정비
4th row생산품 가습기, 차아염소산수 제조장치
5th row자동차부품
ValueCountFrequency (%)
353
 
3.8%
부품 269
 
2.9%
259
 
2.8%
자동차부품 168
 
1.8%
147
 
1.6%
기계부품 143
 
1.5%
공작기계부품 115
 
1.2%
공작기계 96
 
1.0%
금형 92
 
1.0%
자동차 92
 
1.0%
Other values (4102) 7507
81.2%
2023-12-11T07:59:44.686886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4710
 
10.4%
2090
 
4.6%
, 1986
 
4.4%
1982
 
4.4%
1699
 
3.7%
1035
 
2.3%
933
 
2.1%
812
 
1.8%
801
 
1.8%
742
 
1.6%
Other values (692) 28717
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34424
75.6%
Space Separator 4710
 
10.4%
Uppercase Letter 2436
 
5.4%
Other Punctuation 2115
 
4.6%
Lowercase Letter 1133
 
2.5%
Open Punctuation 305
 
0.7%
Close Punctuation 305
 
0.7%
Decimal Number 55
 
0.1%
Dash Punctuation 20
 
< 0.1%
Modifier Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2090
 
6.1%
1982
 
5.8%
1699
 
4.9%
1035
 
3.0%
933
 
2.7%
812
 
2.4%
801
 
2.3%
742
 
2.2%
628
 
1.8%
620
 
1.8%
Other values (621) 23082
67.1%
Uppercase Letter
ValueCountFrequency (%)
C 253
 
10.4%
E 219
 
9.0%
L 171
 
7.0%
S 166
 
6.8%
A 153
 
6.3%
P 144
 
5.9%
D 144
 
5.9%
T 143
 
5.9%
R 140
 
5.7%
O 123
 
5.0%
Other values (15) 780
32.0%
Lowercase Letter
ValueCountFrequency (%)
e 135
11.9%
r 100
 
8.8%
o 95
 
8.4%
a 86
 
7.6%
l 82
 
7.2%
t 82
 
7.2%
s 75
 
6.6%
c 64
 
5.6%
i 63
 
5.6%
n 50
 
4.4%
Other values (14) 301
26.6%
Decimal Number
ValueCountFrequency (%)
3 14
25.5%
1 11
20.0%
5 8
14.5%
2 7
12.7%
4 4
 
7.3%
0 4
 
7.3%
6 2
 
3.6%
8 2
 
3.6%
9 2
 
3.6%
7 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 1986
93.9%
/ 60
 
2.8%
. 34
 
1.6%
' 16
 
0.8%
& 15
 
0.7%
· 3
 
0.1%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4710
100.0%
Open Punctuation
ValueCountFrequency (%)
( 305
100.0%
Close Punctuation
ValueCountFrequency (%)
) 305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34424
75.6%
Common 7514
 
16.5%
Latin 3569
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2090
 
6.1%
1982
 
5.8%
1699
 
4.9%
1035
 
3.0%
933
 
2.7%
812
 
2.4%
801
 
2.3%
742
 
2.2%
628
 
1.8%
620
 
1.8%
Other values (621) 23082
67.1%
Latin
ValueCountFrequency (%)
C 253
 
7.1%
E 219
 
6.1%
L 171
 
4.8%
S 166
 
4.7%
A 153
 
4.3%
P 144
 
4.0%
D 144
 
4.0%
T 143
 
4.0%
R 140
 
3.9%
e 135
 
3.8%
Other values (39) 1901
53.3%
Common
ValueCountFrequency (%)
4710
62.7%
, 1986
26.4%
( 305
 
4.1%
) 305
 
4.1%
/ 60
 
0.8%
. 34
 
0.5%
- 20
 
0.3%
' 16
 
0.2%
& 15
 
0.2%
3 14
 
0.2%
Other values (12) 49
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34423
75.6%
ASCII 11080
 
24.3%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4710
42.5%
, 1986
17.9%
( 305
 
2.8%
) 305
 
2.8%
C 253
 
2.3%
E 219
 
2.0%
L 171
 
1.5%
S 166
 
1.5%
A 153
 
1.4%
P 144
 
1.3%
Other values (60) 2668
24.1%
Hangul
ValueCountFrequency (%)
2090
 
6.1%
1982
 
5.8%
1699
 
4.9%
1035
 
3.0%
933
 
2.7%
812
 
2.4%
801
 
2.3%
742
 
2.2%
628
 
1.8%
620
 
1.8%
Other values (620) 23081
67.1%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

Interactions

2023-12-11T07:59:41.048927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T07:59:41.144005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:59:41.231080image/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.
2023-12-11T07:59:41.321360image/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

순번회사명공장대표주소업종명생산품
01(사)한국장애인사회복지회사회복지부경상남도 창원시 진해구 웅천동로 204 (성내동)구조용 금속 판제품 및 공작물 제조업 외 1 종울타리,난간
12(윈펠)WINPELL경상남도 창원시 성산구 연덕로27번길 60 (웅남동)전투용 차량 제조업차륜형 장갑차 휠(림/디스크)
23(유)국제보링1급정비경상남도 창원시 마산회원구 내서읍 중리공단로 149 (현대자동차서비스)자동차 구조 및 장치 변경업 외 1 종자동차정비
34(유)두루산업사경상남도 창원시 마산회원구 봉암공단9길 10 (봉암동, (유)두루산업사)공기 조화장치 제조업 외 2 종생산품 가습기, 차아염소산수 제조장치
45(유)리앤리테크경상남도 창원시 성산구 반월로 16 (신촌동) 외 2필지그 외 자동차용 신품 부품 제조업 외 3 종자동차부품
56(유)범아산전경상남도 창원시 의창구 태복산로7번길 1 (도계동)배전반 및 전기 자동제어반 제조업전기제어부분품
67(유)삼송 창원공장경상남도 창원시 성산구 정동로62번길 30 (성주동) (총 2 필지) 외 1필지그 외 자동차용 신품 부품 제조업 외 3 종자동차용 안전밸브
78(유)송원산업경상남도 창원시 마산합포구 진북면 망곡리 83-3번지선박 구성 부분품 제조업선박의장부품
89(유)신신1급자동차정비경상남도 창원시 마산회원구 내서읍 중리공단로 165 (신신1급자동차정비)건설 및 채광용 기계장비 제조업운수장비수선(수리업)
910(유)티에스경상남도 창원시 의창구 차룡단지로 75-2 (팔용동)절삭가공 및 유사처리업캠가공 외 항공기 부품
순번회사명공장대표주소업종명생산품
45674565휴바이오텍경상남도 창원시 마산회원구 내서읍 함마대로 2640 마산대학 창업지원관(제9호관) W동 410좌호그 외 기타 의료용 기기 제조업체온계
45684566흥국비엔피경상남도 창원시 마산합포구 산호동2길 54-4, B동 (산호동)산업용 난방보일러 및 방열기 제조업압력용기 및 보일러
45694567흥일제재소경상남도 창원시 의창구 대산면 주남로382번길 49 (총 2 필지) 외 1필지일반 제재업각재 및 판재
45704568흥진테크경상남도 창원시 성산구 웅남로 502 (성산동)절삭가공 및 유사처리업금형부품
45714569흥진항공산업경상남도 창원시 의창구 사화로 222-20 (팔용동, 흥진기계)육상 금속 골조 구조재 제조업 외 3 종항공기기체부품 등
45724570희성테크경상남도 창원시 성산구 월림로67번길 5 (신촌동, 신촌동공장)경 인쇄업 외 1 종라벨류
45734571히트케이(주)경상남도 창원시 마산합포구 3·15대로 298, 504호(서성동, 경남대학교 창업보육관)그 외 기타 전자부품 제조업면상발열체 모듈
45744572히팅플러스경상남도 창원시 성산구 완암로 50, 넥스동 7층 705 (성산동, SK테크노파크)그 외 기타 금속가공업금속 구조물
45754573힐데갈드화장품경상남도 창원시 의창구 차룡로48번길 44 (팔용동) 1동 5층 505호화장품 제조업천연화장품
45764574힘멜테크경상남도 창원시 성산구 완암로 50, 테크동 9층 913 (성산동, SK테크노파크)기타 인쇄업 외 1 종인쇄물

Duplicate rows

Most frequently occurring

순번회사명공장대표주소업종명생산품# duplicates
0<NA><NA><NA><NA><NA>2