Overview

Dataset statistics

Number of variables8
Number of observations4051
Missing cells673
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory257.3 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Text7

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

전화번호 has 221 (5.5%) missing valuesMissing
팩스번호 has 452 (11.2%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:59:13.426611
Analysis finished2023-12-10 22:59:15.359659
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct4051
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2026
Minimum1
Maximum4051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.7 KiB
2023-12-11T07:59:15.441541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile203.5
Q11013.5
median2026
Q33038.5
95-th percentile3848.5
Maximum4051
Range4050
Interquartile range (IQR)2025

Descriptive statistics

Standard deviation1169.5673
Coefficient of variation (CV)0.57727902
Kurtosis-1.2
Mean2026
Median Absolute Deviation (MAD)1013
Skewness0
Sum8207326
Variance1367887.7
MonotonicityStrictly increasing
2023-12-11T07:59:15.598501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2708 1
 
< 0.1%
2695 1
 
< 0.1%
2696 1
 
< 0.1%
2697 1
 
< 0.1%
2698 1
 
< 0.1%
2699 1
 
< 0.1%
2700 1
 
< 0.1%
2701 1
 
< 0.1%
2702 1
 
< 0.1%
Other values (4041) 4041
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 (%)
4051 1
< 0.1%
4050 1
< 0.1%
4049 1
< 0.1%
4048 1
< 0.1%
4047 1
< 0.1%
4046 1
< 0.1%
4045 1
< 0.1%
4044 1
< 0.1%
4043 1
< 0.1%
4042 1
< 0.1%

회사명
Text

Distinct3746
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
2023-12-11T07:59:15.867254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length6.17255
Min length2

Characters and Unicode

Total characters25005
Distinct characters547
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

Unique3490 ?
Unique (%)86.2%

Sample

1st row 신진에스엠
2nd row 세종NC
3rd row(사)한국장애인고용안정협회
4th row(유)국제보링1급정비
5th row(유)녹색성장기업 다일리사이클링
ValueCountFrequency (%)
주식회사 36
 
0.8%
창원공장 13
 
0.3%
2공장 12
 
0.3%
주 12
 
0.3%
제2공장 11
 
0.3%
tech 11
 
0.3%
1공장 8
 
0.2%
성진정밀 6
 
0.1%
영진정밀 6
 
0.1%
주)신화eng 4
 
0.1%
Other values (3779) 4141
97.2%
2023-12-11T07:59:16.279192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1861
 
7.4%
) 1802
 
7.2%
( 1799
 
7.2%
정 603
 
2.4%
크 582
 
2.3%
이 577
 
2.3%
업 562
 
2.2%
테 554
 
2.2%
성 524
 
2.1%
공 520
 
2.1%
Other values (537) 15621
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20065
80.2%
Close Punctuation 1802
 
7.2%
Open Punctuation 1799
 
7.2%
Uppercase Letter 877
 
3.5%
Space Separator 220
 
0.9%
Decimal Number 92
 
0.4%
Other Punctuation 77
 
0.3%
Lowercase Letter 40
 
0.2%
Dash Punctuation 33
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1861
 
9.3%
정 603
 
3.0%
크 582
 
2.9%
이 577
 
2.9%
업 562
 
2.8%
테 554
 
2.8%
성 524
 
2.6%
공 520
 
2.6%
기 459
 
2.3%
산 426
 
2.1%
Other values (483) 13397
66.8%
Uppercase Letter
ValueCountFrequency (%)
E 120
13.7%
T 101
11.5%
S 90
10.3%
C 90
10.3%
N 62
 
7.1%
H 54
 
6.2%
G 54
 
6.2%
M 45
 
5.1%
A 36
 
4.1%
O 25
 
2.9%
Other values (15) 200
22.8%
Lowercase Letter
ValueCountFrequency (%)
e 8
20.0%
c 5
12.5%
h 4
10.0%
s 4
10.0%
i 3
 
7.5%
n 3
 
7.5%
t 2
 
5.0%
u 2
 
5.0%
g 1
 
2.5%
d 1
 
2.5%
Other values (7) 7
17.5%
Other Punctuation
ValueCountFrequency (%)
. 47
61.0%
& 26
33.8%
, 3
 
3.9%
/ 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
2 46
50.0%
1 30
32.6%
3 13
 
14.1%
4 3
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 1802
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1799
100.0%
Space Separator
ValueCountFrequency (%)
220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20065
80.2%
Common 4023
 
16.1%
Latin 917
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1861
 
9.3%
정 603
 
3.0%
크 582
 
2.9%
이 577
 
2.9%
업 562
 
2.8%
테 554
 
2.8%
성 524
 
2.6%
공 520
 
2.6%
기 459
 
2.3%
산 426
 
2.1%
Other values (483) 13397
66.8%
Latin
ValueCountFrequency (%)
E 120
13.1%
T 101
11.0%
S 90
 
9.8%
C 90
 
9.8%
N 62
 
6.8%
H 54
 
5.9%
G 54
 
5.9%
M 45
 
4.9%
A 36
 
3.9%
O 25
 
2.7%
Other values (32) 240
26.2%
Common
ValueCountFrequency (%)
) 1802
44.8%
( 1799
44.7%
220
 
5.5%
. 47
 
1.2%
2 46
 
1.1%
- 33
 
0.8%
1 30
 
0.7%
& 26
 
0.6%
3 13
 
0.3%
4 3
 
0.1%
Other values (2) 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20065
80.2%
ASCII 4940
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1861
 
9.3%
정 603
 
3.0%
크 582
 
2.9%
이 577
 
2.9%
업 562
 
2.8%
테 554
 
2.8%
성 524
 
2.6%
공 520
 
2.6%
기 459
 
2.3%
산 426
 
2.1%
Other values (483) 13397
66.8%
ASCII
ValueCountFrequency (%)
) 1802
36.5%
( 1799
36.4%
220
 
4.5%
E 120
 
2.4%
T 101
 
2.0%
S 90
 
1.8%
C 90
 
1.8%
N 62
 
1.3%
H 54
 
1.1%
G 54
 
1.1%
Other values (44) 548
 
11.1%

공장대표주소
Text

Distinct3342
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
2023-12-11T07:59:16.500242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length53
Mean length32.254752
Min length16

Characters and Unicode

Total characters130664
Distinct characters475
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

Unique2866 ?
Unique (%)70.7%

Sample

1st row 창원시 마산회원구 봉암동 471-10 번지
2nd row 창원시 의창구 사화로 222-10 (팔용동, 세종NC)
3rd row 창원시 마산합포구 진북면 농공단지로 22 (영신금속)
4th row 창원시 마산회원구 내서읍 중리공단로 149 (현대자동차서비스)
5th row 창원시 의창구 대산면 대산북로 877
ValueCountFrequency (%)
창원시 4052
 
15.6%
성산구 1465
 
5.6%
의창구 1108
 
4.3%
마산회원구 835
 
3.2%
팔용동 663
 
2.6%
성산동 547
 
2.1%
완암로 526
 
2.0%
50 471
 
1.8%
봉암동 454
 
1.7%
sk테크노파크 449
 
1.7%
Other values (3400) 15376
59.3%
2023-12-11T07:59:16.891267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26133
 
20.0%
창 5493
 
4.2%
원 5218
 
4.0%
동 4347
 
3.3%
구 4087
 
3.1%
시 4085
 
3.1%
) 4038
 
3.1%
( 4037
 
3.1%
산 4018
 
3.1%
1 3747
 
2.9%
Other values (465) 65461
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73028
55.9%
Space Separator 26133
 
20.0%
Decimal Number 18136
 
13.9%
Close Punctuation 4038
 
3.1%
Open Punctuation 4037
 
3.1%
Other Punctuation 3010
 
2.3%
Uppercase Letter 1321
 
1.0%
Dash Punctuation 917
 
0.7%
Lowercase Letter 37
 
< 0.1%
Other Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 5493
 
7.5%
원 5218
 
7.1%
동 4347
 
6.0%
구 4087
 
5.6%
시 4085
 
5.6%
산 4018
 
5.5%
로 3164
 
4.3%
성 2472
 
3.4%
길 2013
 
2.8%
번 1638
 
2.2%
Other values (406) 36493
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 485
36.7%
K 468
35.4%
B 73
 
5.5%
C 38
 
2.9%
T 37
 
2.8%
N 32
 
2.4%
E 30
 
2.3%
A 30
 
2.3%
G 22
 
1.7%
M 21
 
1.6%
Other values (14) 85
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 9
24.3%
e 5
13.5%
n 4
10.8%
c 4
10.8%
h 2
 
5.4%
t 2
 
5.4%
x 2
 
5.4%
l 2
 
5.4%
w 1
 
2.7%
s 1
 
2.7%
Other values (5) 5
13.5%
Decimal Number
ValueCountFrequency (%)
1 3747
20.7%
2 2470
13.6%
3 2136
11.8%
5 1946
10.7%
0 1749
9.6%
4 1604
8.8%
6 1307
 
7.2%
7 1246
 
6.9%
8 982
 
5.4%
9 949
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 2959
98.3%
. 23
 
0.8%
· 21
 
0.7%
& 7
 
0.2%
Space Separator
ValueCountFrequency (%)
26133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4038
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4037
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 917
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73034
55.9%
Common 56272
43.1%
Latin 1358
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 5493
 
7.5%
원 5218
 
7.1%
동 4347
 
6.0%
구 4087
 
5.6%
시 4085
 
5.6%
산 4018
 
5.5%
로 3164
 
4.3%
성 2472
 
3.4%
길 2013
 
2.8%
번 1638
 
2.2%
Other values (407) 36499
50.0%
Latin
ValueCountFrequency (%)
S 485
35.7%
K 468
34.5%
B 73
 
5.4%
C 38
 
2.8%
T 37
 
2.7%
N 32
 
2.4%
E 30
 
2.2%
A 30
 
2.2%
G 22
 
1.6%
M 21
 
1.5%
Other values (29) 122
 
9.0%
Common
ValueCountFrequency (%)
26133
46.4%
) 4038
 
7.2%
( 4037
 
7.2%
1 3747
 
6.7%
, 2959
 
5.3%
2 2470
 
4.4%
3 2136
 
3.8%
5 1946
 
3.5%
0 1749
 
3.1%
4 1604
 
2.9%
Other values (9) 5453
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73024
55.9%
ASCII 57609
44.1%
None 27
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26133
45.4%
) 4038
 
7.0%
( 4037
 
7.0%
1 3747
 
6.5%
, 2959
 
5.1%
2 2470
 
4.3%
3 2136
 
3.7%
5 1946
 
3.4%
0 1749
 
3.0%
4 1604
 
2.8%
Other values (47) 6790
 
11.8%
Hangul
ValueCountFrequency (%)
창 5493
 
7.5%
원 5218
 
7.1%
동 4347
 
6.0%
구 4087
 
5.6%
시 4085
 
5.6%
산 4018
 
5.5%
로 3164
 
4.3%
성 2472
 
3.4%
길 2013
 
2.8%
번 1638
 
2.2%
Other values (403) 36489
50.0%
None
ValueCountFrequency (%)
· 21
77.8%
㈜ 6
 
22.2%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
50.0%
ㄷ 1
25.0%
ㄴ 1
25.0%

공장대표주소(지번)
Text

Distinct3511
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
2023-12-11T07:59:17.166976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length55
Mean length26.341397
Min length15

Characters and Unicode

Total characters106709
Distinct characters285
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

Unique3127 ?
Unique (%)77.2%

Sample

1st row 창원시 마산회원구 봉암동 471-10 번지
2nd row 창원시 의창구 팔용동 41-5번지
3rd row 창원시 마산합포구 진북면 신촌리 430-9번지
4th row 창원시 마산회원구 내서읍 중리 1123-15번지
5th row 창원시 의창구 대산면 북부리 394번지
ValueCountFrequency (%)
창원시 4050
 
18.7%
성산구 1463
 
6.7%
의창구 1108
 
5.1%
마산회원구 834
 
3.8%
팔용동 649
 
3.0%
번지 580
 
2.7%
성산동 528
 
2.4%
봉암동 454
 
2.1%
마산합포구 355
 
1.6%
신촌동 353
 
1.6%
Other values (3329) 11308
52.2%
2023-12-11T07:59:17.573110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21700
20.3%
창 5257
 
4.9%
원 5051
 
4.7%
1 4491
 
4.2%
지 4406
 
4.1%
동 4111
 
3.9%
구 4075
 
3.8%
시 4061
 
3.8%
번 3976
 
3.7%
산 3576
 
3.4%
Other values (275) 46005
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60206
56.4%
Space Separator 21700
 
20.3%
Decimal Number 19235
 
18.0%
Dash Punctuation 3559
 
3.3%
Uppercase Letter 1036
 
1.0%
Close Punctuation 410
 
0.4%
Open Punctuation 409
 
0.4%
Other Punctuation 144
 
0.1%
Lowercase Letter 9
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 5257
 
8.7%
원 5051
 
8.4%
지 4406
 
7.3%
동 4111
 
6.8%
구 4075
 
6.8%
시 4061
 
6.7%
번 3976
 
6.6%
산 3576
 
5.9%
성 2171
 
3.6%
마 1215
 
2.0%
Other values (234) 22307
37.1%
Uppercase Letter
ValueCountFrequency (%)
S 445
43.0%
K 441
42.6%
B 68
 
6.6%
T 15
 
1.4%
A 14
 
1.4%
C 13
 
1.3%
L 8
 
0.8%
N 6
 
0.6%
O 5
 
0.5%
E 5
 
0.5%
Other values (8) 16
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 4491
23.3%
6 2322
12.1%
2 2248
11.7%
7 1976
10.3%
4 1779
 
9.2%
3 1679
 
8.7%
0 1675
 
8.7%
5 1355
 
7.0%
9 888
 
4.6%
8 822
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 5
55.6%
w 1
 
11.1%
x 1
 
11.1%
e 1
 
11.1%
l 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 141
97.9%
. 2
 
1.4%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
21700
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3559
100.0%
Close Punctuation
ValueCountFrequency (%)
) 410
100.0%
Open Punctuation
ValueCountFrequency (%)
( 409
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60206
56.4%
Common 45458
42.6%
Latin 1045
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 5257
 
8.7%
원 5051
 
8.4%
지 4406
 
7.3%
동 4111
 
6.8%
구 4075
 
6.8%
시 4061
 
6.7%
번 3976
 
6.6%
산 3576
 
5.9%
성 2171
 
3.6%
마 1215
 
2.0%
Other values (234) 22307
37.1%
Latin
ValueCountFrequency (%)
S 445
42.6%
K 441
42.2%
B 68
 
6.5%
T 15
 
1.4%
A 14
 
1.3%
C 13
 
1.2%
L 8
 
0.8%
N 6
 
0.6%
a 5
 
0.5%
O 5
 
0.5%
Other values (13) 25
 
2.4%
Common
ValueCountFrequency (%)
21700
47.7%
1 4491
 
9.9%
- 3559
 
7.8%
6 2322
 
5.1%
2 2248
 
4.9%
7 1976
 
4.3%
4 1779
 
3.9%
3 1679
 
3.7%
0 1675
 
3.7%
5 1355
 
3.0%
Other values (8) 2674
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60202
56.4%
ASCII 46503
43.6%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21700
46.7%
1 4491
 
9.7%
- 3559
 
7.7%
6 2322
 
5.0%
2 2248
 
4.8%
7 1976
 
4.2%
4 1779
 
3.8%
3 1679
 
3.6%
0 1675
 
3.6%
5 1355
 
2.9%
Other values (31) 3719
 
8.0%
Hangul
ValueCountFrequency (%)
창 5257
 
8.7%
원 5051
 
8.4%
지 4406
 
7.3%
동 4111
 
6.8%
구 4075
 
6.8%
시 4061
 
6.7%
번 3976
 
6.6%
산 3576
 
5.9%
성 2171
 
3.6%
마 1215
 
2.0%
Other values (231) 22303
37.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
50.0%
ㄴ 1
25.0%
ㄷ 1
25.0%

업종명
Text

Distinct698
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
2023-12-11T07:59:17.874823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length14.678351
Min length1

Characters and Unicode

Total characters59462
Distinct characters305
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique350 ?
Unique (%)8.6%

Sample

1st row그외 기타 1차 철강 제조업
2nd row주형 및 금형 제조업
3rd row기타 1차 비철금속 제조업
4th row기타 비철금속 주조업
5th row금속캔 및 기타 포장용기 제조업
ValueCountFrequency (%)
제조업 3176
18.4%
및 1800
 
10.4%
기타 1062
 
6.1%
종 800
 
4.6%
외 800
 
4.6%
그외 561
 
3.2%
절삭가공 464
 
2.7%
유사처리업 464
 
2.7%
1 430
 
2.5%
금속 340
 
2.0%
Other values (551) 7399
42.8%
2023-12-11T07:59:18.308193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13251
22.3%
업 4189
 
7.0%
제 3850
 
6.5%
조 3593
 
6.0%
기 2952
 
5.0%
및 1803
 
3.0%
외 1371
 
2.3%
공 1095
 
1.8%
타 1077
 
1.8%
금 965
 
1.6%
Other values (295) 25316
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45009
75.7%
Space Separator 13251
 
22.3%
Decimal Number 892
 
1.5%
Other Punctuation 310
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 4189
 
9.3%
제 3850
 
8.6%
조 3593
 
8.0%
기 2952
 
6.6%
및 1803
 
4.0%
외 1371
 
3.0%
공 1095
 
2.4%
타 1077
 
2.4%
금 965
 
2.1%
품 871
 
1.9%
Other values (282) 23243
51.6%
Decimal Number
ValueCountFrequency (%)
1 524
58.7%
2 150
 
16.8%
3 68
 
7.6%
4 51
 
5.7%
6 29
 
3.3%
5 23
 
2.6%
7 17
 
1.9%
8 11
 
1.2%
9 10
 
1.1%
0 9
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 298
96.1%
· 12
 
3.9%
Space Separator
ValueCountFrequency (%)
13251
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45009
75.7%
Common 14453
 
24.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 4189
 
9.3%
제 3850
 
8.6%
조 3593
 
8.0%
기 2952
 
6.6%
및 1803
 
4.0%
외 1371
 
3.0%
공 1095
 
2.4%
타 1077
 
2.4%
금 965
 
2.1%
품 871
 
1.9%
Other values (282) 23243
51.6%
Common
ValueCountFrequency (%)
13251
91.7%
1 524
 
3.6%
, 298
 
2.1%
2 150
 
1.0%
3 68
 
0.5%
4 51
 
0.4%
6 29
 
0.2%
5 23
 
0.2%
7 17
 
0.1%
· 12
 
0.1%
Other values (3) 30
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45009
75.7%
ASCII 14441
 
24.3%
None 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13251
91.8%
1 524
 
3.6%
, 298
 
2.1%
2 150
 
1.0%
3 68
 
0.5%
4 51
 
0.4%
6 29
 
0.2%
5 23
 
0.2%
7 17
 
0.1%
8 11
 
0.1%
Other values (2) 19
 
0.1%
Hangul
ValueCountFrequency (%)
업 4189
 
9.3%
제 3850
 
8.6%
조 3593
 
8.0%
기 2952
 
6.6%
및 1803
 
4.0%
외 1371
 
3.0%
공 1095
 
2.4%
타 1077
 
2.4%
금 965
 
2.1%
품 871
 
1.9%
Other values (282) 23243
51.6%
None
ValueCountFrequency (%)
· 12
100.0%

생산품
Text

Distinct3192
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size31.8 KiB
2023-12-11T07:59:18.609558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44
Mean length9.2619106
Min length1

Characters and Unicode

Total characters37520
Distinct characters678
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

Unique2956 ?
Unique (%)73.0%

Sample

1st rowL-브라켓, 블럭 등 규격소재
2nd row금형
3rd row구리
4th row자동차정비
5th row금속상자 및 금속통
ValueCountFrequency (%)
및 232
 
3.1%
부품 196
 
2.6%
자동차부품 183
 
2.4%
외 166
 
2.2%
등 144
 
1.9%
기계부품 124
 
1.6%
금형 100
 
1.3%
공작기계부품 94
 
1.2%
가공 80
 
1.1%
공작기계 72
 
1.0%
Other values (3622) 6151
81.6%
2023-12-11T07:59:19.073388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3509
 
9.4%
품 1726
 
4.6%
기 1720
 
4.6%
부 1519
 
4.0%
, 1507
 
4.0%
공 864
 
2.3%
자 847
 
2.3%
동 713
 
1.9%
계 699
 
1.9%
전 551
 
1.5%
Other values (668) 23865
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28293
75.4%
Space Separator 3509
 
9.4%
Uppercase Letter 2408
 
6.4%
Other Punctuation 1639
 
4.4%
Lowercase Letter 1182
 
3.2%
Close Punctuation 216
 
0.6%
Open Punctuation 216
 
0.6%
Decimal Number 34
 
0.1%
Dash Punctuation 22
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 1726
 
6.1%
기 1720
 
6.1%
부 1519
 
5.4%
공 864
 
3.1%
자 847
 
3.0%
동 713
 
2.5%
계 699
 
2.5%
전 551
 
1.9%
차 531
 
1.9%
제 497
 
1.8%
Other values (598) 18626
65.8%
Uppercase Letter
ValueCountFrequency (%)
C 226
 
9.4%
E 195
 
8.1%
L 172
 
7.1%
S 170
 
7.1%
A 169
 
7.0%
R 150
 
6.2%
O 147
 
6.1%
T 140
 
5.8%
P 139
 
5.8%
D 133
 
5.5%
Other values (15) 767
31.9%
Lowercase Letter
ValueCountFrequency (%)
e 149
12.6%
l 97
 
8.2%
a 94
 
8.0%
r 91
 
7.7%
o 80
 
6.8%
t 80
 
6.8%
n 76
 
6.4%
i 76
 
6.4%
s 69
 
5.8%
c 67
 
5.7%
Other values (14) 303
25.6%
Decimal Number
ValueCountFrequency (%)
1 8
23.5%
5 5
14.7%
2 5
14.7%
3 5
14.7%
4 3
 
8.8%
6 3
 
8.8%
8 2
 
5.9%
0 2
 
5.9%
7 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 1507
91.9%
/ 53
 
3.2%
. 50
 
3.1%
' 20
 
1.2%
& 7
 
0.4%
; 1
 
0.1%
＆ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3509
100.0%
Close Punctuation
ValueCountFrequency (%)
) 216
100.0%
Open Punctuation
ValueCountFrequency (%)
( 216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28293
75.4%
Common 5637
 
15.0%
Latin 3590
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 1726
 
6.1%
기 1720
 
6.1%
부 1519
 
5.4%
공 864
 
3.1%
자 847
 
3.0%
동 713
 
2.5%
계 699
 
2.5%
전 551
 
1.9%
차 531
 
1.9%
제 497
 
1.8%
Other values (598) 18626
65.8%
Latin
ValueCountFrequency (%)
C 226
 
6.3%
E 195
 
5.4%
L 172
 
4.8%
S 170
 
4.7%
A 169
 
4.7%
R 150
 
4.2%
e 149
 
4.2%
O 147
 
4.1%
T 140
 
3.9%
P 139
 
3.9%
Other values (39) 1933
53.8%
Common
ValueCountFrequency (%)
3509
62.2%
, 1507
26.7%
) 216
 
3.8%
( 216
 
3.8%
/ 53
 
0.9%
. 50
 
0.9%
- 22
 
0.4%
' 20
 
0.4%
1 8
 
0.1%
& 7
 
0.1%
Other values (11) 29
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28293
75.4%
ASCII 9226
 
24.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3509
38.0%
, 1507
16.3%
C 226
 
2.4%
) 216
 
2.3%
( 216
 
2.3%
E 195
 
2.1%
L 172
 
1.9%
S 170
 
1.8%
A 169
 
1.8%
R 150
 
1.6%
Other values (59) 2696
29.2%
Hangul
ValueCountFrequency (%)
품 1726
 
6.1%
기 1720
 
6.1%
부 1519
 
5.4%
공 864
 
3.1%
자 847
 
3.0%
동 713
 
2.5%
계 699
 
2.5%
전 551
 
1.9%
차 531
 
1.9%
제 497
 
1.8%
Other values (598) 18626
65.8%
None
ValueCountFrequency (%)
＆ 1
100.0%

전화번호
Text

MISSING 

Distinct3521
Distinct (%)91.9%
Missing221
Missing (%)5.5%
Memory size31.8 KiB
2023-12-11T07:59:19.325064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.989817
Min length7

Characters and Unicode

Total characters45921
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

Unique3260 ?
Unique (%)85.1%

Sample

1st row055-293-1913
2nd row055-294-7470
3rd row055-271-8290
4th row055-232-4442
5th row055-283-3330
ValueCountFrequency (%)
055--55 8
 
0.2%
055-271-1980 8
 
0.2%
055-275-7930 5
 
0.1%
055-255-3003 5
 
0.1%
055-268-8000 4
 
0.1%
055-295-4401 4
 
0.1%
055-250-0311 4
 
0.1%
055-286-9801 4
 
0.1%
055-299-4158 3
 
0.1%
055-271-1891 3
 
0.1%
Other values (3511) 3782
98.7%
2023-12-11T07:59:19.714198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 10229
22.3%
- 7660
16.7%
0 6273
13.7%
2 5413
11.8%
6 2607
 
5.7%
1 2590
 
5.6%
7 2466
 
5.4%
8 2363
 
5.1%
9 2351
 
5.1%
3 2148
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38261
83.3%
Dash Punctuation 7660
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 10229
26.7%
0 6273
16.4%
2 5413
14.1%
6 2607
 
6.8%
1 2590
 
6.8%
7 2466
 
6.4%
8 2363
 
6.2%
9 2351
 
6.1%
3 2148
 
5.6%
4 1821
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 7660
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45921
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 10229
22.3%
- 7660
16.7%
0 6273
13.7%
2 5413
11.8%
6 2607
 
5.7%
1 2590
 
5.6%
7 2466
 
5.4%
8 2363
 
5.1%
9 2351
 
5.1%
3 2148
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45921
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 10229
22.3%
- 7660
16.7%
0 6273
13.7%
2 5413
11.8%
6 2607
 
5.7%
1 2590
 
5.6%
7 2466
 
5.4%
8 2363
 
5.1%
9 2351
 
5.1%
3 2148
 
4.7%

팩스번호
Text

MISSING 

Distinct3159
Distinct (%)87.8%
Missing452
Missing (%)11.2%
Memory size31.8 KiB
2023-12-11T07:59:19.912867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.999722
Min length11

Characters and Unicode

Total characters43187
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2881 ?
Unique (%)80.1%

Sample

1st row055-294-1914
2nd row055-294-7476
3rd row055-271-8290
4th row055-232-3663
5th row055-284-9421
ValueCountFrequency (%)
055 131
 
3.6%
055-271-1982 6
 
0.2%
055-264-2275 5
 
0.1%
055-255-3006 5
 
0.1%
055-296-6149 4
 
0.1%
055-275-7931 4
 
0.1%
055-299-4159 4
 
0.1%
055-256-9167 4
 
0.1%
055-281-0014 4
 
0.1%
055-250-0310 4
 
0.1%
Other values (3149) 3428
95.2%
2023-12-11T07:59:20.262344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 9681
22.4%
- 7198
16.7%
0 5302
12.3%
2 5019
11.6%
6 2490
 
5.8%
9 2408
 
5.6%
8 2170
 
5.0%
7 2127
 
4.9%
3 2035
 
4.7%
1 2003
 
4.6%
Other values (2) 2754
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35067
81.2%
Dash Punctuation 7198
 
16.7%
Connector Punctuation 922
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9681
27.6%
0 5302
15.1%
2 5019
14.3%
6 2490
 
7.1%
9 2408
 
6.9%
8 2170
 
6.2%
7 2127
 
6.1%
3 2035
 
5.8%
1 2003
 
5.7%
4 1832
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 7198
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 922
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 9681
22.4%
- 7198
16.7%
0 5302
12.3%
2 5019
11.6%
6 2490
 
5.8%
9 2408
 
5.6%
8 2170
 
5.0%
7 2127
 
4.9%
3 2035
 
4.7%
1 2003
 
4.6%
Other values (2) 2754
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 9681
22.4%
- 7198
16.7%
0 5302
12.3%
2 5019
11.6%
6 2490
 
5.8%
9 2408
 
5.6%
8 2170
 
5.0%
7 2127
 
4.9%
3 2035
 
4.7%
1 2003
 
4.6%
Other values (2) 2754
 
6.4%

Interactions

2023-12-11T07:59:14.920008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T07:59:15.065187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:59:15.202311image/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.
2023-12-11T07:59:15.302719image/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

순번회사명공장대표주소공장대표주소(지번)업종명생산품전화번호팩스번호
01신진에스엠창원시 마산회원구 봉암동 471-10 번지창원시 마산회원구 봉암동 471-10 번지그외 기타 1차 철강 제조업L-브라켓, 블럭 등 규격소재055-293-1913055-294-1914
12세종NC창원시 의창구 사화로 222-10 (팔용동, 세종NC)창원시 의창구 팔용동 41-5번지주형 및 금형 제조업금형055-294-7470055-294-7476
23(사)한국장애인고용안정협회창원시 마산합포구 진북면 농공단지로 22 (영신금속)창원시 마산합포구 진북면 신촌리 430-9번지기타 1차 비철금속 제조업구리055-271-8290055-271-8290
34(유)국제보링1급정비창원시 마산회원구 내서읍 중리공단로 149 (현대자동차서비스)창원시 마산회원구 내서읍 중리 1123-15번지기타 비철금속 주조업자동차정비055-232-4442055-232-3663
45(유)녹색성장기업 다일리사이클링창원시 의창구 대산면 대산북로 877창원시 의창구 대산면 북부리 394번지금속캔 및 기타 포장용기 제조업금속상자 및 금속통055-283-3330055-284-9421
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