Overview

Dataset statistics

Number of variables7
Number of observations4574
Missing cells1059
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory254.7 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Text6

Dataset

Description경남 창원시 관내(의창구, 성산구, 마산합포구, 마산회원구, 진해구)에 소재하고 있으며 제조업 공장으로 등록된 현황을 제공합니다.(2021년 8월 31일 기준)
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15088895/fileData.do

Alerts

전화번호 has 449 (9.8%) missing valuesMissing
팩스번호 has 610 (13.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:57:19.989585
Analysis finished2023-12-12 16:57:21.396118
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct4574
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2287.5
Minimum1
Maximum4574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.3 KiB
2023-12-13T01:57:21.490221image/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
2023-12-13T01:57:21.681552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
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%
Other values (4564) 4564
99.8%
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%

회사명
Text

Distinct4206
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
2023-12-13T01:57:21.959885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length6.4733275
Min length2

Characters and Unicode

Total characters29609
Distinct characters601
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3910 ?
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%
주 9
 
0.2%
유한책임회사 8
 
0.2%
농업회사법인 6
 
0.1%
명진테크 5
 
0.1%
Other values (4228) 4705
92.7%
2023-12-13T01:57:22.382011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2257
 
7.6%
) 1978
 
6.7%
( 1977
 
6.7%
이 838
 
2.8%
크 721
 
2.4%
테 695
 
2.3%
스 625
 
2.1%
정 593
 
2.0%
성 521
 
1.8%
513
 
1.7%
Other values (591) 18891
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23996
81.0%
Close Punctuation 1978
 
6.7%
Open Punctuation 1977
 
6.7%
Uppercase Letter 865
 
2.9%
Space Separator 513
 
1.7%
Decimal Number 119
 
0.4%
Lowercase Letter 61
 
0.2%
Other Punctuation 58
 
0.2%
Dash Punctuation 22
 
0.1%
Other Symbol 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2257
 
9.4%
이 838
 
3.5%
크 721
 
3.0%
테 695
 
2.9%
스 625
 
2.6%
정 593
 
2.5%
성 521
 
2.2%
업 513
 
2.1%
사 486
 
2.0%
공 474
 
2.0%
Other values (530) 16273
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%
i 6
9.8%
h 6
9.8%
d 3
 
4.9%
g 3
 
4.9%
t 3
 
4.9%
s 3
 
4.9%
l 2
 
3.3%
Other values (8) 8
13.1%
Decimal Number
ValueCountFrequency (%)
2 65
54.6%
1 33
27.7%
3 11
 
9.2%
4 5
 
4.2%
8 2
 
1.7%
7 1
 
0.8%
5 1
 
0.8%
9 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 33
56.9%
& 20
34.5%
, 3
 
5.2%
' 1
 
1.7%
/ 1
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 1978
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1977
100.0%
Space Separator
ValueCountFrequency (%)
513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24016
81.1%
Common 4667
 
15.8%
Latin 926
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2257
 
9.4%
이 838
 
3.5%
크 721
 
3.0%
테 695
 
2.9%
스 625
 
2.6%
정 593
 
2.5%
성 521
 
2.2%
업 513
 
2.1%
사 486
 
2.0%
공 474
 
2.0%
Other values (531) 16293
67.8%
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 (%)
) 1978
42.4%
( 1977
42.4%
513
 
11.0%
2 65
 
1.4%
1 33
 
0.7%
. 33
 
0.7%
- 22
 
0.5%
& 20
 
0.4%
3 11
 
0.2%
4 5
 
0.1%
Other values (7) 10
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23996
81.0%
ASCII 5593
 
18.9%
None 20
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2257
 
9.4%
이 838
 
3.5%
크 721
 
3.0%
테 695
 
2.9%
스 625
 
2.6%
정 593
 
2.5%
성 521
 
2.2%
업 513
 
2.1%
사 486
 
2.0%
공 474
 
2.0%
Other values (530) 16273
67.8%
ASCII
ValueCountFrequency (%)
) 1978
35.4%
( 1977
35.3%
513
 
9.2%
E 98
 
1.8%
T 94
 
1.7%
S 83
 
1.5%
C 73
 
1.3%
2 65
 
1.2%
N 60
 
1.1%
M 59
 
1.1%
Other values (50) 593
 
10.6%
None
ValueCountFrequency (%)
㈜ 20
100.0%

공장대표주소
Text

Distinct4004
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
2023-12-13T01:57:22.842849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length61
Mean length35.43944
Min length21

Characters and Unicode

Total characters162100
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 4575
 
13.6%
창원시 4575
 
13.6%
성산구 1754
 
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 (3316) 17733
52.7%
2023-12-13T01:57:23.533687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29095
 
17.9%
창 6165
 
3.8%
원 5805
 
3.6%
남 5783
 
3.6%
동 5119
 
3.2%
1 5041
 
3.1%
경 4697
 
2.9%
상 4621
 
2.9%
구 4614
 
2.8%
시 4598
 
2.8%
Other values (444) 86562
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97185
60.0%
Space Separator 29095
 
17.9%
Decimal Number 22233
 
13.7%
Close Punctuation 4201
 
2.6%
Open Punctuation 4199
 
2.6%
Other Punctuation 2795
 
1.7%
Uppercase Letter 1357
 
0.8%
Dash Punctuation 1009
 
0.6%
Lowercase Letter 22
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 6165
 
6.3%
원 5805
 
6.0%
남 5783
 
6.0%
동 5119
 
5.3%
경 4697
 
4.8%
상 4621
 
4.8%
구 4614
 
4.7%
시 4598
 
4.7%
도 4588
 
4.7%
산 4563
 
4.7%
Other values (386) 46632
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%
G 17
 
1.3%
N 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%
s 1
 
4.5%
t 1
 
4.5%
x 1
 
4.5%
r 1
 
4.5%
g 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 2019
9.1%
6 1633
 
7.3%
7 1517
 
6.8%
8 1183
 
5.3%
9 1117
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 2759
98.7%
· 22
 
0.8%
. 10
 
0.4%
& 4
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4200
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4198
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
29095
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1009
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97186
60.0%
Common 63534
39.2%
Latin 1379
 
0.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 6165
 
6.3%
원 5805
 
6.0%
남 5783
 
6.0%
동 5119
 
5.3%
경 4697
 
4.8%
상 4621
 
4.8%
구 4614
 
4.7%
시 4598
 
4.7%
도 4588
 
4.7%
산 4563
 
4.7%
Other values (386) 46633
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%
G 17
 
1.2%
N 17
 
1.2%
E 16
 
1.2%
I 11
 
0.8%
Other values (26) 81
 
5.9%
Common
ValueCountFrequency (%)
29095
45.8%
1 5041
 
7.9%
) 4200
 
6.6%
( 4198
 
6.6%
2 2827
 
4.4%
, 2759
 
4.3%
3 2508
 
3.9%
0 2228
 
3.5%
5 2160
 
3.4%
4 2019
 
3.2%
Other values (11) 6499
 
10.2%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97181
60.0%
ASCII 64891
40.0%
None 24
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29095
44.8%
1 5041
 
7.8%
) 4200
 
6.5%
( 4198
 
6.5%
2 2827
 
4.4%
, 2759
 
4.3%
3 2508
 
3.9%
0 2228
 
3.4%
5 2160
 
3.3%
4 2019
 
3.1%
Other values (46) 7856
 
12.1%
Hangul
ValueCountFrequency (%)
창 6165
 
6.3%
원 5805
 
6.0%
남 5783
 
6.0%
동 5119
 
5.3%
경 4697
 
4.8%
상 4621
 
4.8%
구 4614
 
4.7%
시 4598
 
4.7%
도 4588
 
4.7%
산 4563
 
4.7%
Other values (382) 46628
48.0%
None
ValueCountFrequency (%)
· 22
91.7%
㈜ 2
 
8.3%
CJK
ValueCountFrequency (%)
內 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
33.3%
ㄱ 1
33.3%
ㄴ 1
33.3%

업종명
Text

Distinct903
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
2023-12-13T01:57:23.910117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length16.216659
Min length3

Characters and Unicode

Total characters74175
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

Unique476 ?
Unique (%)10.4%

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 3527
 
14.9%
외 2295
 
9.7%
및 2075
 
8.8%
종 1647
 
7.0%
기타 1075
 
4.5%
1 801
 
3.4%
그 648
 
2.7%
절삭가공 575
 
2.4%
유사처리업 575
 
2.4%
금속 505
 
2.1%
Other values (613) 9943
42.0%
2023-12-13T01:57:24.692946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19105
25.8%
업 4760
 
6.4%
제 4306
 
5.8%
조 3973
 
5.4%
기 3213
 
4.3%
외 2329
 
3.1%
및 2075
 
2.8%
종 1653
 
2.2%
공 1301
 
1.8%
품 1151
 
1.6%
Other values (318) 30309
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52909
71.3%
Space Separator 19105
 
25.8%
Decimal Number 1807
 
2.4%
Other Punctuation 322
 
0.4%
Open Punctuation 16
 
< 0.1%
Close Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 4760
 
9.0%
제 4306
 
8.1%
조 3973
 
7.5%
기 3213
 
6.1%
외 2329
 
4.4%
및 2075
 
3.9%
종 1653
 
3.1%
공 1301
 
2.5%
품 1151
 
2.2%
용 1117
 
2.1%
Other values (303) 27031
51.1%
Decimal Number
ValueCountFrequency (%)
1 943
52.2%
2 294
 
16.3%
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 (%)
19105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52909
71.3%
Common 21266
28.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 4760
 
9.0%
제 4306
 
8.1%
조 3973
 
7.5%
기 3213
 
6.1%
외 2329
 
4.4%
및 2075
 
3.9%
종 1653
 
3.1%
공 1301
 
2.5%
품 1151
 
2.2%
용 1117
 
2.1%
Other values (303) 27031
51.1%
Common
ValueCountFrequency (%)
19105
89.8%
1 943
 
4.4%
, 305
 
1.4%
2 294
 
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 52896
71.3%
ASCII 21266
28.7%
Compat Jamo 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19105
89.8%
1 943
 
4.4%
, 305
 
1.4%
2 294
 
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 (%)
업 4760
 
9.0%
제 4306
 
8.1%
조 3973
 
7.5%
기 3213
 
6.1%
외 2329
 
4.4%
및 2075
 
3.9%
종 1653
 
3.1%
공 1301
 
2.5%
품 1151
 
2.2%
용 1117
 
2.1%
Other values (302) 27018
51.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
100.0%

생산품
Text

Distinct3607
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size35.9 KiB
2023-12-13T01:57:25.052109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length53
Mean length9.9453432
Min length1

Characters and Unicode

Total characters45490
Distinct characters703
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

Unique3338 ?
Unique (%)73.0%

Sample

1st row울타리,난간
2nd row차륜형 장갑차 휠(림/디스크)
3rd row자동차정비
4th row생산품 가습기, 차아염소산수 제조장치
5th row자동차부품
ValueCountFrequency (%)
및 353
 
3.8%
부품 269
 
2.9%
등 259
 
2.8%
자동차부품 168
 
1.8%
외 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 (4100) 7506
81.2%
2023-12-13T01:57:25.509706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4709
 
10.4%
기 2089
 
4.6%
, 1985
 
4.4%
품 1982
 
4.4%
부 1699
 
3.7%
공 1035
 
2.3%
자 933
 
2.1%
동 812
 
1.8%
계 801
 
1.8%
전 742
 
1.6%
Other values (693) 28703
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34422
75.7%
Space Separator 4709
 
10.4%
Uppercase Letter 2436
 
5.4%
Other Punctuation 2114
 
4.6%
Lowercase Letter 1133
 
2.5%
Close Punctuation 304
 
0.7%
Open Punctuation 304
 
0.7%
Decimal Number 45
 
0.1%
Dash Punctuation 18
 
< 0.1%
Modifier Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2089
 
6.1%
품 1982
 
5.8%
부 1699
 
4.9%
공 1035
 
3.0%
자 933
 
2.7%
동 812
 
2.4%
계 801
 
2.3%
전 742
 
2.2%
제 628
 
1.8%
장 620
 
1.8%
Other values (621) 23081
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%
D 144
 
5.9%
P 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 12
26.7%
1 10
22.2%
2 6
13.3%
5 5
11.1%
4 4
 
8.9%
6 2
 
4.4%
8 2
 
4.4%
0 2
 
4.4%
9 1
 
2.2%
7 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 1985
93.9%
/ 60
 
2.8%
. 34
 
1.6%
' 16
 
0.8%
& 15
 
0.7%
· 3
 
0.1%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4709
100.0%
Close Punctuation
ValueCountFrequency (%)
) 304
100.0%
Open Punctuation
ValueCountFrequency (%)
( 304
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34422
75.7%
Common 7499
 
16.5%
Latin 3569
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2089
 
6.1%
품 1982
 
5.8%
부 1699
 
4.9%
공 1035
 
3.0%
자 933
 
2.7%
동 812
 
2.4%
계 801
 
2.3%
전 742
 
2.2%
제 628
 
1.8%
장 620
 
1.8%
Other values (621) 23081
67.1%
Latin
ValueCountFrequency (%)
C 253
 
7.1%
E 219
 
6.1%
L 171
 
4.8%
S 166
 
4.7%
A 153
 
4.3%
D 144
 
4.0%
P 144
 
4.0%
T 143
 
4.0%
R 140
 
3.9%
e 135
 
3.8%
Other values (39) 1901
53.3%
Common
ValueCountFrequency (%)
4709
62.8%
, 1985
26.5%
) 304
 
4.1%
( 304
 
4.1%
/ 60
 
0.8%
. 34
 
0.5%
- 18
 
0.2%
' 16
 
0.2%
& 15
 
0.2%
3 12
 
0.2%
Other values (13) 42
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34421
75.7%
ASCII 11065
 
24.3%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4709
42.6%
, 1985
17.9%
) 304
 
2.7%
( 304
 
2.7%
C 253
 
2.3%
E 219
 
2.0%
L 171
 
1.5%
S 166
 
1.5%
A 153
 
1.4%
D 144
 
1.3%
Other values (61) 2657
24.0%
Hangul
ValueCountFrequency (%)
기 2089
 
6.1%
품 1982
 
5.8%
부 1699
 
4.9%
공 1035
 
3.0%
자 933
 
2.7%
동 812
 
2.4%
계 801
 
2.3%
전 742
 
2.2%
제 628
 
1.8%
장 620
 
1.8%
Other values (620) 23080
67.1%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅏ 1
100.0%

전화번호
Text

MISSING 

Distinct3716
Distinct (%)90.1%
Missing449
Missing (%)9.8%
Memory size35.9 KiB
2023-12-13T01:57:25.708308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.025212
Min length8

Characters and Unicode

Total characters49604
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

Unique3378 ?
Unique (%)81.9%

Sample

1st row055-547-1438
2nd row055-271-7772
3rd row055-232-4442
4th row055-251-3040
5th row055-603-3106
ValueCountFrequency (%)
055-271-1980 8
 
0.2%
055-555-5555 5
 
0.1%
055-275-7930 5
 
0.1%
055-256-2671 4
 
0.1%
055-551-8081 4
 
0.1%
055-551-6601 4
 
0.1%
055-288-4558 4
 
0.1%
055-296-1011 4
 
0.1%
055-251-8834 4
 
0.1%
055-231-4455 4
 
0.1%
Other values (3706) 4079
98.9%
2023-12-13T01:57:26.004482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 10910
22.0%
- 8242
16.6%
0 6883
13.9%
2 5732
11.6%
6 2864
 
5.8%
7 2816
 
5.7%
1 2777
 
5.6%
8 2529
 
5.1%
9 2502
 
5.0%
3 2362
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41362
83.4%
Dash Punctuation 8242
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 10910
26.4%
0 6883
16.6%
2 5732
13.9%
6 2864
 
6.9%
7 2816
 
6.8%
1 2777
 
6.7%
8 2529
 
6.1%
9 2502
 
6.0%
3 2362
 
5.7%
4 1987
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 8242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49604
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 10910
22.0%
- 8242
16.6%
0 6883
13.9%
2 5732
11.6%
6 2864
 
5.8%
7 2816
 
5.7%
1 2777
 
5.6%
8 2529
 
5.1%
9 2502
 
5.0%
3 2362
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 10910
22.0%
- 8242
16.6%
0 6883
13.9%
2 5732
11.6%
6 2864
 
5.8%
7 2816
 
5.7%
1 2777
 
5.6%
8 2529
 
5.1%
9 2502
 
5.0%
3 2362
 
4.8%

팩스번호
Text

MISSING 

Distinct3535
Distinct (%)89.2%
Missing610
Missing (%)13.3%
Memory size35.9 KiB
2023-12-13T01:57:26.219270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.016145
Min length5

Characters and Unicode

Total characters47632
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

Unique3171 ?
Unique (%)80.0%

Sample

1st row30331301438
2nd row055-261-7774
3rd row055-232-3663
4th row055-251-4619
5th row055-603-3114
ValueCountFrequency (%)
055-275-7931 6
 
0.2%
055-251-6071 5
 
0.1%
055-271-1982 5
 
0.1%
055-286-7768 4
 
0.1%
055-265-3667 4
 
0.1%
055-231-3090 4
 
0.1%
055-551-6604 4
 
0.1%
055-288-4559 4
 
0.1%
055-264-2275 3
 
0.1%
055-286-9322 3
 
0.1%
Other values (3525) 3922
98.9%
2023-12-13T01:57:26.513722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 10497
22.0%
- 7886
16.6%
0 6146
12.9%
2 5611
11.8%
6 2851
 
6.0%
9 2637
 
5.5%
7 2578
 
5.4%
8 2472
 
5.2%
3 2448
 
5.1%
1 2362
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39746
83.4%
Dash Punctuation 7886
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 10497
26.4%
0 6146
15.5%
2 5611
14.1%
6 2851
 
7.2%
9 2637
 
6.6%
7 2578
 
6.5%
8 2472
 
6.2%
3 2448
 
6.2%
1 2362
 
5.9%
4 2144
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 7886
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47632
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 10497
22.0%
- 7886
16.6%
0 6146
12.9%
2 5611
11.8%
6 2851
 
6.0%
9 2637
 
5.5%
7 2578
 
5.4%
8 2472
 
5.2%
3 2448
 
5.1%
1 2362
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47632
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 10497
22.0%
- 7886
16.6%
0 6146
12.9%
2 5611
11.8%
6 2851
 
6.0%
9 2637
 
5.5%
7 2578
 
5.4%
8 2472
 
5.2%
3 2448
 
5.1%
1 2362
 
5.0%

Interactions

2023-12-13T01:57:20.974167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T01:57:21.079845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:57:21.243070image/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.
2023-12-13T01:57:21.343253image/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

연번회사명공장대표주소업종명생산품전화번호팩스번호
01(사)한국장애인사회복지회사회복지부경상남도 창원시 진해구 웅천동로 204 (성내동)구조용 금속 판제품 및 공작물 제조업 외 1 종울타리,난간055-547-143830331301438
12(윈펠)WINPELL경상남도 창원시 성산구 연덕로27번길 60 (웅남동)전투용 차량 제조업차륜형 장갑차 휠(림/디스크)055-271-7772055-261-7774
23(유)국제보링1급정비경상남도 창원시 마산회원구 내서읍 중리공단로 149 (현대자동차서비스)자동차 구조 및 장치 변경업 외 1 종자동차정비055-232-4442055-232-3663
34(유)두루산업사경상남도 창원시 마산회원구 봉암공단9길 10 (봉암동, (유)두루산업사)공기 조화장치 제조업 외 2 종생산품 가습기, 차아염소산수 제조장치055-251-3040055-251-4619
45(유)리앤리테크경상남도 창원시 성산구 반월로 16 (신촌동) 외 2필지그 외 자동차용 신품 부품 제조업 외 3 종자동차부품055-603-3106055-603-3114
56(유)범아산전경상남도 창원시 의창구 태복산로7번길 1 (도계동)배전반 및 전기 자동제어반 제조업전기제어부분품055-277-0061055-277-0062
67(유)삼송 창원공장경상남도 창원시 성산구 정동로62번길 30 (성주동) (총 2 필지) 외 1필지그 외 자동차용 신품 부품 제조업 외 3 종자동차용 안전밸브055-284-8661055-284-8660
78(유)송원산업경상남도 창원시 마산합포구 진북면 망곡리 83-3번지선박 구성 부분품 제조업선박의장부품055-271-8791<NA>
89(유)신신1급자동차정비경상남도 창원시 마산회원구 내서읍 중리공단로 165 (신신1급자동차정비)건설 및 채광용 기계장비 제조업운수장비수선(수리업)055-231-5800055-231-6812
910(유)티에스경상남도 창원시 의창구 차룡단지로 75-2 (팔용동)절삭가공 및 유사처리업캠가공 외 항공기 부품055-276-9281055-288-9281
연번회사명공장대표주소업종명생산품전화번호팩스번호
45644565휴바이오텍경상남도 창원시 마산회원구 내서읍 함마대로 2640 마산대학 창업지원관(제9호관) W동 410좌호그 외 기타 의료용 기기 제조업체온계<NA>055-713-7101
45654566흥국비엔피경상남도 창원시 마산합포구 산호동2길 54-4, B동 (산호동)산업용 난방보일러 및 방열기 제조업압력용기 및 보일러055-255-7501055-255-7551
45664567흥일제재소경상남도 창원시 의창구 대산면 주남로382번길 49 (총 2 필지) 외 1필지일반 제재업각재 및 판재<NA><NA>
45674568흥진테크경상남도 창원시 성산구 웅남로 502 (성산동)절삭가공 및 유사처리업금형부품055-267-5642055-261-5642
45684569흥진항공산업경상남도 창원시 의창구 사화로 222-20 (팔용동, 흥진기계)육상 금속 골조 구조재 제조업 외 3 종항공기기체부품 등055-255-9827055-255-9828
45694570희성테크경상남도 창원시 성산구 월림로67번길 5 (신촌동, 신촌동공장)경 인쇄업 외 1 종라벨류055-286-8450055-286-8453
45704571히트케이(주)경상남도 창원시 마산합포구 3·15대로 298, 504호(서성동, 경남대학교 창업보육관)그 외 기타 전자부품 제조업면상발열체 모듈<NA><NA>
45714572히팅플러스경상남도 창원시 성산구 완암로 50, 넥스동 7층 705 (성산동, SK테크노파크)그 외 기타 금속가공업금속 구조물<NA><NA>
45724573힐데갈드화장품경상남도 창원시 의창구 차룡로48번길 44 (팔용동) 1동 5층 505호화장품 제조업천연화장품055-822-8080<NA>
45734574힘멜테크경상남도 창원시 성산구 완암로 50, 테크동 9층 913 (성산동, SK테크노파크)기타 인쇄업 외 1 종인쇄물055-276-5764055-901-0260