Overview

Dataset statistics

Number of variables8
Number of observations320
Missing cells9
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.4 KiB
Average record size in memory65.4 B

Variable types

Numeric1
Text6
Categorical1

Dataset

Description2017년 5월 현재 대구동구 공장등록현황
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3075346&dataSetDetailId=30753462d46a05e38433_201809191838&provdMethod=FILE

Alerts

단지명 is highly imbalanced (58.0%)Imbalance
전화번호 has 9 (2.8%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 13:57:26.267516
Analysis finished2024-04-21 13:57:28.143805
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct320
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.5
Minimum1
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-21T22:57:28.345759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.95
Q180.75
median160.5
Q3240.25
95-th percentile304.05
Maximum320
Range319
Interquartile range (IQR)159.5

Descriptive statistics

Standard deviation92.520268
Coefficient of variation (CV)0.57645027
Kurtosis-1.2
Mean160.5
Median Absolute Deviation (MAD)80
Skewness0
Sum51360
Variance8560
MonotonicityStrictly increasing
2024-04-21T22:57:28.786277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
162 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
Other values (310) 310
96.9%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%

회사명
Text

Distinct316
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-21T22:57:29.515563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length15
Mean length6.775
Min length2

Characters and Unicode

Total characters2168
Distinct characters293
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique312 ?
Unique (%)97.5%

Sample

1st row(사)중증장애인맞춤형일자리제공지원협회(동대구지사)
2nd row(유)에스와이
3rd row(주)E.O.S
4th row(주)경민광학
5th row(주)경북 캐터링
ValueCountFrequency (%)
주)씨엠테크 2
 
0.6%
주)유니월드 2
 
0.6%
주)우창엔지니어링 2
 
0.6%
농업회사법인 2
 
0.6%
주)동화인더스트리 2
 
0.6%
주)금강금속 1
 
0.3%
사인채널협동조합 1
 
0.3%
성광산업 1
 
0.3%
선일기전(주 1
 
0.3%
서도산업(주)신천공장 1
 
0.3%
Other values (320) 320
95.5%
2024-04-21T22:57:30.345026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 189
 
8.7%
( 187
 
8.6%
) 187
 
8.6%
이 56
 
2.6%
업 45
 
2.1%
스 43
 
2.0%
대 39
 
1.8%
산 37
 
1.7%
에 35
 
1.6%
사 31
 
1.4%
Other values (283) 1319
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1747
80.6%
Open Punctuation 187
 
8.6%
Close Punctuation 187
 
8.6%
Uppercase Letter 25
 
1.2%
Space Separator 15
 
0.7%
Other Punctuation 6
 
0.3%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 189
 
10.8%
이 56
 
3.2%
업 45
 
2.6%
스 43
 
2.5%
대 39
 
2.2%
산 37
 
2.1%
에 35
 
2.0%
사 31
 
1.8%
한 30
 
1.7%
동 29
 
1.7%
Other values (265) 1213
69.4%
Uppercase Letter
ValueCountFrequency (%)
E 4
16.0%
N 4
16.0%
I 3
12.0%
G 3
12.0%
T 3
12.0%
D 2
8.0%
A 1
 
4.0%
P 1
 
4.0%
K 1
 
4.0%
C 1
 
4.0%
Other values (2) 2
8.0%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
& 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 187
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1747
80.6%
Common 396
 
18.3%
Latin 25
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 189
 
10.8%
이 56
 
3.2%
업 45
 
2.6%
스 43
 
2.5%
대 39
 
2.2%
산 37
 
2.1%
에 35
 
2.0%
사 31
 
1.8%
한 30
 
1.7%
동 29
 
1.7%
Other values (265) 1213
69.4%
Latin
ValueCountFrequency (%)
E 4
16.0%
N 4
16.0%
I 3
12.0%
G 3
12.0%
T 3
12.0%
D 2
8.0%
A 1
 
4.0%
P 1
 
4.0%
K 1
 
4.0%
C 1
 
4.0%
Other values (2) 2
8.0%
Common
ValueCountFrequency (%)
( 187
47.2%
) 187
47.2%
15
 
3.8%
. 5
 
1.3%
1 1
 
0.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1747
80.6%
ASCII 421
 
19.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 189
 
10.8%
이 56
 
3.2%
업 45
 
2.6%
스 43
 
2.5%
대 39
 
2.2%
산 37
 
2.1%
에 35
 
2.0%
사 31
 
1.8%
한 30
 
1.7%
동 29
 
1.7%
Other values (265) 1213
69.4%
ASCII
ValueCountFrequency (%)
( 187
44.4%
) 187
44.4%
15
 
3.6%
. 5
 
1.2%
E 4
 
1.0%
N 4
 
1.0%
I 3
 
0.7%
G 3
 
0.7%
T 3
 
0.7%
D 2
 
0.5%
Other values (8) 8
 
1.9%

단지명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
255 
대구이시아폴리스일반산업단지
46 
대구연구개발특구
 
12
대구테크노폴리스지방산업단지
 
6
대구경북첨단의료복합단지
 
1

Length

Max length14
Median length1
Mean length3.409375
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row
2nd row대구이시아폴리스일반산업단지
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
255
79.7%
대구이시아폴리스일반산업단지 46
 
14.4%
대구연구개발특구 12
 
3.8%
대구테크노폴리스지방산업단지 6
 
1.9%
대구경북첨단의료복합단지 1
 
0.3%

Length

2024-04-21T22:57:30.572203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:57:30.761015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구이시아폴리스일반산업단지 46
70.8%
대구연구개발특구 12
 
18.5%
대구테크노폴리스지방산업단지 6
 
9.2%
대구경북첨단의료복합단지 1
 
1.5%

대표자명
Text

Distinct311
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-21T22:57:31.861310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.134375
Min length2

Characters and Unicode

Total characters1003
Distinct characters159
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)94.4%

Sample

1st row이재근
2nd row김기현
3rd row류길락
4th row최국목
5th row윤병우
ValueCountFrequency (%)
김영옥 2
 
0.6%
김성은 2
 
0.6%
한재권 2
 
0.6%
임성용 2
 
0.6%
최장희 2
 
0.6%
안장홍 2
 
0.6%
정원석 2
 
0.6%
민흥식 2
 
0.6%
이문희 2
 
0.6%
이안균 1
 
0.3%
Other values (306) 306
94.2%
2024-04-21T22:57:33.219157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 68
 
6.8%
이 46
 
4.6%
박 32
 
3.2%
정 31
 
3.1%
재 26
 
2.6%
수 26
 
2.6%
영 23
 
2.3%
최 20
 
2.0%
종 19
 
1.9%
진 18
 
1.8%
Other values (149) 694
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 986
98.3%
Other Punctuation 8
 
0.8%
Space Separator 5
 
0.5%
Decimal Number 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 68
 
6.9%
이 46
 
4.7%
박 32
 
3.2%
정 31
 
3.1%
재 26
 
2.6%
수 26
 
2.6%
영 23
 
2.3%
최 20
 
2.0%
종 19
 
1.9%
진 18
 
1.8%
Other values (144) 677
68.7%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
6 1
25.0%
9 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 986
98.3%
Common 17
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 68
 
6.9%
이 46
 
4.7%
박 32
 
3.2%
정 31
 
3.1%
재 26
 
2.6%
수 26
 
2.6%
영 23
 
2.3%
최 20
 
2.0%
종 19
 
1.9%
진 18
 
1.8%
Other values (144) 677
68.7%
Common
ValueCountFrequency (%)
, 8
47.1%
5
29.4%
1 2
 
11.8%
6 1
 
5.9%
9 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 986
98.3%
ASCII 17
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 68
 
6.9%
이 46
 
4.7%
박 32
 
3.2%
정 31
 
3.1%
재 26
 
2.6%
수 26
 
2.6%
영 23
 
2.3%
최 20
 
2.0%
종 19
 
1.9%
진 18
 
1.8%
Other values (144) 677
68.7%
ASCII
ValueCountFrequency (%)
, 8
47.1%
5
29.4%
1 2
 
11.8%
6 1
 
5.9%
9 1
 
5.9%

공장대표주소
Text

Distinct304
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-21T22:57:34.054257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length41
Mean length25.4875
Min length17

Characters and Unicode

Total characters8156
Distinct characters164
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)91.2%

Sample

1st row대구광역시 동구 신서동 1147번지
2nd row대구광역시 동구 팔공로45길 38 (봉무동)
3rd row대구광역시 동구 안심로53길 58 (동호동) (총 2 필지) (총 2 필지)
4th row대구광역시 동구 화랑로 509 (용계동)
5th row대구광역시 동구 반야월북로2길 10 (율암동)
ValueCountFrequency (%)
대구광역시 320
 
18.9%
동구 320
 
18.9%
봉무동 45
 
2.7%
동호동 30
 
1.8%
각산동 29
 
1.7%
율암동 28
 
1.7%
신평동 19
 
1.1%
신서동 18
 
1.1%
팔공로45길 17
 
1.0%
용계동 17
 
1.0%
Other values (393) 849
50.2%
2024-04-21T22:57:35.102103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1383
17.0%
동 707
 
8.7%
구 655
 
8.0%
대 333
 
4.1%
) 329
 
4.0%
( 329
 
4.0%
광 321
 
3.9%
역 321
 
3.9%
시 321
 
3.9%
로 320
 
3.9%
Other values (154) 3137
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4675
57.3%
Space Separator 1383
 
17.0%
Decimal Number 1273
 
15.6%
Close Punctuation 329
 
4.0%
Open Punctuation 329
 
4.0%
Dash Punctuation 104
 
1.3%
Other Punctuation 55
 
0.7%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 707
15.1%
구 655
14.0%
대 333
 
7.1%
광 321
 
6.9%
역 321
 
6.9%
시 321
 
6.9%
로 320
 
6.8%
길 198
 
4.2%
신 99
 
2.1%
공 62
 
1.3%
Other values (134) 1338
28.6%
Decimal Number
ValueCountFrequency (%)
1 275
21.6%
2 182
14.3%
3 162
12.7%
5 158
12.4%
4 113
8.9%
6 109
 
8.6%
9 82
 
6.4%
0 74
 
5.8%
7 74
 
5.8%
8 44
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
D 2
25.0%
R 2
25.0%
L 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 53
96.4%
& 2
 
3.6%
Space Separator
ValueCountFrequency (%)
1383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 329
100.0%
Open Punctuation
ValueCountFrequency (%)
( 329
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4675
57.3%
Common 3473
42.6%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 707
15.1%
구 655
14.0%
대 333
 
7.1%
광 321
 
6.9%
역 321
 
6.9%
시 321
 
6.9%
로 320
 
6.8%
길 198
 
4.2%
신 99
 
2.1%
공 62
 
1.3%
Other values (134) 1338
28.6%
Common
ValueCountFrequency (%)
1383
39.8%
) 329
 
9.5%
( 329
 
9.5%
1 275
 
7.9%
2 182
 
5.2%
3 162
 
4.7%
5 158
 
4.5%
4 113
 
3.3%
6 109
 
3.1%
- 104
 
3.0%
Other values (6) 329
 
9.5%
Latin
ValueCountFrequency (%)
B 3
37.5%
D 2
25.0%
R 2
25.0%
L 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4675
57.3%
ASCII 3481
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1383
39.7%
) 329
 
9.5%
( 329
 
9.5%
1 275
 
7.9%
2 182
 
5.2%
3 162
 
4.7%
5 158
 
4.5%
4 113
 
3.2%
6 109
 
3.1%
- 104
 
3.0%
Other values (10) 337
 
9.7%
Hangul
ValueCountFrequency (%)
동 707
15.1%
구 655
14.0%
대 333
 
7.1%
광 321
 
6.9%
역 321
 
6.9%
시 321
 
6.9%
로 320
 
6.8%
길 198
 
4.2%
신 99
 
2.1%
공 62
 
1.3%
Other values (134) 1338
28.6%

전화번호
Text

MISSING 

Distinct301
Distinct (%)96.8%
Missing9
Missing (%)2.8%
Memory size2.6 KiB
2024-04-21T22:57:35.875028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.996785
Min length9

Characters and Unicode

Total characters3731
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

Unique294 ?
Unique (%)94.5%

Sample

1st row053-621-2853
2nd row054-975-4000
3rd row053-962-7842
4th row053-983-6461
5th row053-963-0006
ValueCountFrequency (%)
053-985-3881 5
 
1.6%
053-963-2233 2
 
0.6%
053-981-0241 2
 
0.6%
053-582-2209 2
 
0.6%
053-986-8555 2
 
0.6%
053-768-4887 2
 
0.6%
053-963-4535 2
 
0.6%
053-962-2936 1
 
0.3%
053-962-2277 1
 
0.3%
053-326-1640 1
 
0.3%
Other values (291) 291
93.6%
2024-04-21T22:57:36.913589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 619
16.6%
0 533
14.3%
3 521
14.0%
5 520
13.9%
9 291
7.8%
8 253
6.8%
6 251
6.7%
2 232
 
6.2%
1 188
 
5.0%
4 173
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3112
83.4%
Dash Punctuation 619
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 533
17.1%
3 521
16.7%
5 520
16.7%
9 291
9.4%
8 253
8.1%
6 251
8.1%
2 232
7.5%
1 188
 
6.0%
4 173
 
5.6%
7 150
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 619
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3731
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 619
16.6%
0 533
14.3%
3 521
14.0%
5 520
13.9%
9 291
7.8%
8 253
6.8%
6 251
6.7%
2 232
 
6.2%
1 188
 
5.0%
4 173
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3731
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 619
16.6%
0 533
14.3%
3 521
14.0%
5 520
13.9%
9 291
7.8%
8 253
6.8%
6 251
6.7%
2 232
 
6.2%
1 188
 
5.0%
4 173
 
4.6%

생산품
Text

Distinct289
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-21T22:57:37.660704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length26
Mean length7.259375
Min length1

Characters and Unicode

Total characters2323
Distinct characters372
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

Unique271 ?
Unique (%)84.7%

Sample

1st row도서,인쇄물
2nd row도어형자연환기시스템,세대현관문,실외기문,대피방화문,유리방화문
3rd row콘텍트렌즈
4th row안경테
5th row도시락
ValueCountFrequency (%)
광고물 10
 
2.2%
의료용 10
 
2.2%
및 8
 
1.8%
외 7
 
1.5%
창호 6
 
1.3%
계측기기 5
 
1.1%
등 5
 
1.1%
레미콘 3
 
0.7%
간판 3
 
0.7%
연탄 3
 
0.7%
Other values (360) 395
86.8%
2024-04-21T22:57:38.648383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
5.9%
, 121
 
5.2%
기 92
 
4.0%
용 52
 
2.2%
장 48
 
2.1%
스 35
 
1.5%
자 35
 
1.5%
제 32
 
1.4%
품 29
 
1.2%
계 28
 
1.2%
Other values (362) 1713
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1952
84.0%
Space Separator 138
 
5.9%
Other Punctuation 123
 
5.3%
Uppercase Letter 67
 
2.9%
Lowercase Letter 19
 
0.8%
Close Punctuation 9
 
0.4%
Open Punctuation 9
 
0.4%
Dash Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 92
 
4.7%
용 52
 
2.7%
장 48
 
2.5%
스 35
 
1.8%
자 35
 
1.8%
제 32
 
1.6%
품 29
 
1.5%
계 28
 
1.4%
조 28
 
1.4%
방 27
 
1.4%
Other values (327) 1546
79.2%
Uppercase Letter
ValueCountFrequency (%)
C 11
16.4%
T 8
11.9%
V 6
9.0%
E 6
9.0%
D 6
9.0%
R 4
 
6.0%
L 4
 
6.0%
M 4
 
6.0%
A 4
 
6.0%
P 3
 
4.5%
Other values (8) 11
16.4%
Lowercase Letter
ValueCountFrequency (%)
c 6
31.6%
p 4
21.1%
v 3
15.8%
u 2
 
10.5%
s 1
 
5.3%
h 1
 
5.3%
a 1
 
5.3%
t 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 121
98.4%
/ 1
 
0.8%
. 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
0 1
33.3%
Space Separator
ValueCountFrequency (%)
138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1952
84.0%
Common 285
 
12.3%
Latin 86
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 92
 
4.7%
용 52
 
2.7%
장 48
 
2.5%
스 35
 
1.8%
자 35
 
1.8%
제 32
 
1.6%
품 29
 
1.5%
계 28
 
1.4%
조 28
 
1.4%
방 27
 
1.4%
Other values (327) 1546
79.2%
Latin
ValueCountFrequency (%)
C 11
12.8%
T 8
 
9.3%
V 6
 
7.0%
E 6
 
7.0%
c 6
 
7.0%
D 6
 
7.0%
R 4
 
4.7%
L 4
 
4.7%
p 4
 
4.7%
M 4
 
4.7%
Other values (16) 27
31.4%
Common
ValueCountFrequency (%)
138
48.4%
, 121
42.5%
) 9
 
3.2%
( 9
 
3.2%
- 3
 
1.1%
1 2
 
0.7%
/ 1
 
0.4%
. 1
 
0.4%
0 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1952
84.0%
ASCII 371
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
37.2%
, 121
32.6%
C 11
 
3.0%
) 9
 
2.4%
( 9
 
2.4%
T 8
 
2.2%
V 6
 
1.6%
E 6
 
1.6%
c 6
 
1.6%
D 6
 
1.6%
Other values (25) 51
 
13.7%
Hangul
ValueCountFrequency (%)
기 92
 
4.7%
용 52
 
2.7%
장 48
 
2.5%
스 35
 
1.8%
자 35
 
1.8%
제 32
 
1.6%
품 29
 
1.5%
계 28
 
1.4%
조 28
 
1.4%
방 27
 
1.4%
Other values (327) 1546
79.2%

공장홈페이지
Text

Distinct69
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-21T22:57:39.436497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length1
Mean length4.265625
Min length1

Characters and Unicode

Total characters1365
Distinct characters48
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)21.2%

Sample

1st row
2nd row
3rd row
4th row
5th rowwww.food0006.com
ValueCountFrequency (%)
www.happyhangwa.com 1
 
1.5%
www.daegutakju.co.kr 1
 
1.5%
www.sskb.co.kr 1
 
1.5%
www.isungsin.co.kr 1
 
1.5%
www.tsunil.com 1
 
1.5%
www.sudocorp.co.kr 1
 
1.5%
www.sdinfo.co.kr 1
 
1.5%
www.boohung21.co.kr 1
 
1.5%
www.etzone.co.kr 1
 
1.5%
www.globaleng.co.kr 1
 
1.5%
Other values (58) 58
85.3%
2024-04-21T22:57:40.476403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
18.5%
w 191
14.0%
. 169
12.4%
o 104
 
7.6%
c 76
 
5.6%
r 56
 
4.1%
k 55
 
4.0%
n 50
 
3.7%
e 42
 
3.1%
a 39
 
2.9%
Other values (38) 331
24.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 904
66.2%
Space Separator 252
 
18.5%
Other Punctuation 174
 
12.7%
Decimal Number 20
 
1.5%
Uppercase Letter 7
 
0.5%
Dash Punctuation 4
 
0.3%
Other Letter 4
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 191
21.1%
o 104
11.5%
c 76
 
8.4%
r 56
 
6.2%
k 55
 
6.1%
n 50
 
5.5%
e 42
 
4.6%
a 39
 
4.3%
m 39
 
4.3%
s 33
 
3.7%
Other values (15) 219
24.2%
Decimal Number
ValueCountFrequency (%)
0 6
30.0%
2 5
25.0%
1 3
15.0%
3 2
 
10.0%
4 2
 
10.0%
5 1
 
5.0%
6 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
28.6%
P 1
14.3%
T 1
14.3%
I 1
14.3%
G 1
14.3%
L 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 169
97.1%
/ 3
 
1.7%
: 1
 
0.6%
@ 1
 
0.6%
Other Letter
ValueCountFrequency (%)
기 1
25.0%
부 1
25.0%
두 1
25.0%
계 1
25.0%
Space Separator
ValueCountFrequency (%)
252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 911
66.7%
Common 450
33.0%
Hangul 4
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 191
21.0%
o 104
11.4%
c 76
 
8.3%
r 56
 
6.1%
k 55
 
6.0%
n 50
 
5.5%
e 42
 
4.6%
a 39
 
4.3%
m 39
 
4.3%
s 33
 
3.6%
Other values (21) 226
24.8%
Common
ValueCountFrequency (%)
252
56.0%
. 169
37.6%
0 6
 
1.3%
2 5
 
1.1%
- 4
 
0.9%
1 3
 
0.7%
/ 3
 
0.7%
3 2
 
0.4%
4 2
 
0.4%
: 1
 
0.2%
Other values (3) 3
 
0.7%
Hangul
ValueCountFrequency (%)
기 1
25.0%
부 1
25.0%
두 1
25.0%
계 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1361
99.7%
Hangul 4
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
18.5%
w 191
14.0%
. 169
12.4%
o 104
 
7.6%
c 76
 
5.6%
r 56
 
4.1%
k 55
 
4.0%
n 50
 
3.7%
e 42
 
3.1%
a 39
 
2.9%
Other values (34) 327
24.0%
Hangul
ValueCountFrequency (%)
기 1
25.0%
부 1
25.0%
두 1
25.0%
계 1
25.0%

Interactions

2024-04-21T22:57:27.228626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T22:57:40.634269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명공장홈페이지
순번1.0000.2880.084
단지명0.2881.0000.000
공장홈페이지0.0840.0001.000
2024-04-21T22:57:40.777763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명
순번1.0000.122
단지명0.1221.000

Missing values

2024-04-21T22:57:27.575614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T22:57:27.985334image/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.

Sample

순번회사명단지명대표자명공장대표주소전화번호생산품공장홈페이지
01(사)중증장애인맞춤형일자리제공지원협회(동대구지사)이재근대구광역시 동구 신서동 1147번지053-621-2853도서,인쇄물
12(유)에스와이대구이시아폴리스일반산업단지김기현대구광역시 동구 팔공로45길 38 (봉무동)054-975-4000도어형자연환기시스템,세대현관문,실외기문,대피방화문,유리방화문
23(주)E.O.S류길락대구광역시 동구 안심로53길 58 (동호동) (총 2 필지) (총 2 필지)053-962-7842콘텍트렌즈
34(주)경민광학최국목대구광역시 동구 화랑로 509 (용계동)053-983-6461안경테
45(주)경북 캐터링윤병우대구광역시 동구 반야월북로2길 10 (율암동)053-963-0006도시락www.food0006.com
56(주)경오전자이형섭대구광역시 동구 안심로73길 5 (신서동)053-963-0751DMB ANT
67(주)고려과학임중재대구광역시 동구 동촌로45길 42 (방촌동)053-985-4131염색실험기기
78(주)구남공조ENG김준형대구광역시 동구 팔공로29길 38 (불로동)053-981-4835닥트
89(주)그리니아대구이시아폴리스일반산업단지이윤정대구광역시 동구 팔공로53길 114, (주)대원지에스아이 내 (봉무동)053-981-4616친환경단열문, 복합성능방화문, 자연환기시스템 외
910(주)극동기전황호진대구광역시 동구 신평로 84 (신평동)053-983-2263가스메타기
순번회사명단지명대표자명공장대표주소전화번호생산품공장홈페이지
310311한세정보통신(주)한재성대구광역시 동구 신평로 140 (용계동)053-985-7601영상감시장치
311312한영종합인쇄황명숙대구광역시 동구 첨단로 30, 404호 (신서동)053-962-3200인쇄물www.hyprint.co.kr
312313한일시멘트(주)대구공장허기호, 곽의영대구광역시 동구 반야월로 266 (동호동) (총 3 필지)053-962-5711레미콘hanilcement.co.kr
313314한일피복공업(주)권종중대구광역시 동구 신암남로23길 30, 지하 (신암동)02-463-2885구명복외 봉제의복
314315해원테크이재삼대구광역시 동구 둔산로 240-6 (방촌동)053-583-3307자동차헤드램프류 사출금형
315316해인장애인보호작업장대구이시아폴리스일반산업단지김정일대구광역시 동구 팔공로45길 23, (주)젠텍스 내 (봉무동)053-981-3432자동차 부품
316317현대밤바최영두대구광역시 동구 반야월북로11길 21-8 (각산동)053-965-7784밤바
317318형제스텐현만석대구광역시 동구 해동로 209-2 (검사동)053-981-5040방화창,주방기기
318319화인시스템(주)권학철대구광역시 동구 화랑로9길 23 (신천동)053-817-8023자동제어반
319320효성양산박실용대구광역시 동구 해동로 157-3 (검사동)053-983-0829우산,양산