Overview

Dataset statistics

Number of variables8
Number of observations310
Missing cells9
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.8 KiB
Average record size in memory65.4 B

Variable types

Numeric1
Text6
Categorical1

Dataset

Description2016년 6월 현재 대구동구 공장등록현황
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3075346&dataSetDetailId=30753461a3ed987c0abc_201809191838&provdMethod=FILE

Alerts

단지명 is highly imbalanced (53.7%)Imbalance
전화번호 has 9 (2.9%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-04-18 07:05:33.697295
Analysis finished2024-04-18 07:05:34.411806
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct310
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.5
Minimum1
Maximum310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-18T16:05:34.474478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.45
Q178.25
median155.5
Q3232.75
95-th percentile294.55
Maximum310
Range309
Interquartile range (IQR)154.5

Descriptive statistics

Standard deviation89.633513
Coefficient of variation (CV)0.57642131
Kurtosis-1.2
Mean155.5
Median Absolute Deviation (MAD)77.5
Skewness0
Sum48205
Variance8034.1667
MonotonicityStrictly increasing
2024-04-18T16:05:34.606741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
206 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
205 1
 
0.3%
Other values (300) 300
96.8%
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 (%)
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%
301 1
0.3%

회사명
Text

Distinct306
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-18T16:05:34.836144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length15
Mean length6.6580645
Min length2

Characters and Unicode

Total characters2064
Distinct characters292
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

Unique302 ?
Unique (%)97.4%

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)동화인더스트리 2
 
0.6%
주)유니월드 2
 
0.6%
주)씨엠테크 2
 
0.6%
주)우창엔지니어링 2
 
0.6%
선일기전(주 1
 
0.3%
성진에너지 1
 
0.3%
성일디젤 1
 
0.3%
성원상사 1
 
0.3%
성신식품 1
 
0.3%
성신사 1
 
0.3%
Other values (310) 310
95.7%
2024-04-18T16:05:35.195952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 174
 
8.4%
( 172
 
8.3%
) 172
 
8.3%
이 53
 
2.6%
업 47
 
2.3%
산 40
 
1.9%
대 38
 
1.8%
스 38
 
1.8%
사 31
 
1.5%
공 30
 
1.5%
Other values (282) 1269
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1671
81.0%
Open Punctuation 172
 
8.3%
Close Punctuation 172
 
8.3%
Uppercase Letter 28
 
1.4%
Space Separator 14
 
0.7%
Other Punctuation 6
 
0.3%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 174
 
10.4%
이 53
 
3.2%
업 47
 
2.8%
산 40
 
2.4%
대 38
 
2.3%
스 38
 
2.3%
사 31
 
1.9%
공 30
 
1.8%
에 30
 
1.8%
한 29
 
1.7%
Other values (263) 1161
69.5%
Uppercase Letter
ValueCountFrequency (%)
T 5
17.9%
E 4
14.3%
N 4
14.3%
I 3
10.7%
G 3
10.7%
D 2
 
7.1%
K 1
 
3.6%
C 1
 
3.6%
M 1
 
3.6%
A 1
 
3.6%
Other values (3) 3
10.7%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
& 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1671
81.0%
Common 365
 
17.7%
Latin 28
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 174
 
10.4%
이 53
 
3.2%
업 47
 
2.8%
산 40
 
2.4%
대 38
 
2.3%
스 38
 
2.3%
사 31
 
1.9%
공 30
 
1.8%
에 30
 
1.8%
한 29
 
1.7%
Other values (263) 1161
69.5%
Latin
ValueCountFrequency (%)
T 5
17.9%
E 4
14.3%
N 4
14.3%
I 3
10.7%
G 3
10.7%
D 2
 
7.1%
K 1
 
3.6%
C 1
 
3.6%
M 1
 
3.6%
A 1
 
3.6%
Other values (3) 3
10.7%
Common
ValueCountFrequency (%)
( 172
47.1%
) 172
47.1%
14
 
3.8%
. 5
 
1.4%
1 1
 
0.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1671
81.0%
ASCII 393
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 174
 
10.4%
이 53
 
3.2%
업 47
 
2.8%
산 40
 
2.4%
대 38
 
2.3%
스 38
 
2.3%
사 31
 
1.9%
공 30
 
1.8%
에 30
 
1.8%
한 29
 
1.7%
Other values (263) 1161
69.5%
ASCII
ValueCountFrequency (%)
( 172
43.8%
) 172
43.8%
14
 
3.6%
. 5
 
1.3%
T 5
 
1.3%
E 4
 
1.0%
N 4
 
1.0%
I 3
 
0.8%
G 3
 
0.8%
D 2
 
0.5%
Other values (9) 9
 
2.3%

단지명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
250 
대구이시아폴리스일반산업단지
43 
대구연구개발특구
 
11
대구테크노폴리스지방산업단지
 
6

Length

Max length14
Median length1
Mean length3.3032258
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
250
80.6%
대구이시아폴리스일반산업단지 43
 
13.9%
대구연구개발특구 11
 
3.5%
대구테크노폴리스지방산업단지 6
 
1.9%

Length

2024-04-18T16:05:35.318182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:05:35.412228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구이시아폴리스일반산업단지 43
71.7%
대구연구개발특구 11
 
18.3%
대구테크노폴리스지방산업단지 6
 
10.0%

대표자명
Text

Distinct300
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-18T16:05:35.712873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1258065
Min length3

Characters and Unicode

Total characters969
Distinct characters155
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

Unique290 ?
Unique (%)93.5%

Sample

1st row이재근
2nd row김기현
3rd row류길락
4th row최국목
5th row윤병우
ValueCountFrequency (%)
이영우 2
 
0.6%
한재권 2
 
0.6%
정원석 2
 
0.6%
이문희 2
 
0.6%
김영옥 2
 
0.6%
안장홍 2
 
0.6%
민흥식 2
 
0.6%
김성은 2
 
0.6%
최장희 2
 
0.6%
임성용 2
 
0.6%
Other values (294) 294
93.6%
2024-04-18T16:05:36.142450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 67
 
6.9%
이 46
 
4.7%
박 31
 
3.2%
정 30
 
3.1%
재 26
 
2.7%
영 25
 
2.6%
수 25
 
2.6%
진 18
 
1.9%
최 18
 
1.9%
종 17
 
1.8%
Other values (145) 666
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 954
98.5%
Other Punctuation 7
 
0.7%
Space Separator 4
 
0.4%
Decimal Number 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 67
 
7.0%
이 46
 
4.8%
박 31
 
3.2%
정 30
 
3.1%
재 26
 
2.7%
영 25
 
2.6%
수 25
 
2.6%
진 18
 
1.9%
최 18
 
1.9%
종 17
 
1.8%
Other values (140) 651
68.2%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
9 1
25.0%
6 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 954
98.5%
Common 15
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 67
 
7.0%
이 46
 
4.8%
박 31
 
3.2%
정 30
 
3.1%
재 26
 
2.7%
영 25
 
2.6%
수 25
 
2.6%
진 18
 
1.9%
최 18
 
1.9%
종 17
 
1.8%
Other values (140) 651
68.2%
Common
ValueCountFrequency (%)
, 7
46.7%
4
26.7%
1 2
 
13.3%
9 1
 
6.7%
6 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 954
98.5%
ASCII 15
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 67
 
7.0%
이 46
 
4.8%
박 31
 
3.2%
정 30
 
3.1%
재 26
 
2.7%
영 25
 
2.6%
수 25
 
2.6%
진 18
 
1.9%
최 18
 
1.9%
종 17
 
1.8%
Other values (140) 651
68.2%
ASCII
ValueCountFrequency (%)
, 7
46.7%
4
26.7%
1 2
 
13.3%
9 1
 
6.7%
6 1
 
6.7%

공장대표주소
Text

Distinct293
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-18T16:05:36.369489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length41
Mean length25.445161
Min length17

Characters and Unicode

Total characters7888
Distinct characters159
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

Unique280 ?
Unique (%)90.3%

Sample

1st row대구광역시 동구 각산동 1147번지 305호
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 310
 
18.9%
동구 310
 
18.9%
봉무동 43
 
2.6%
동호동 31
 
1.9%
각산동 30
 
1.8%
율암동 29
 
1.8%
신평동 19
 
1.2%
신서동 16
 
1.0%
용계동 16
 
1.0%
불로동 16
 
1.0%
Other values (380) 817
49.9%
2024-04-18T16:05:36.727887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1338
17.0%
동 687
 
8.7%
구 633
 
8.0%
대 320
 
4.1%
( 316
 
4.0%
) 316
 
4.0%
광 311
 
3.9%
역 311
 
3.9%
시 311
 
3.9%
로 311
 
3.9%
Other values (149) 3034
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4515
57.2%
Space Separator 1338
 
17.0%
Decimal Number 1247
 
15.8%
Open Punctuation 316
 
4.0%
Close Punctuation 316
 
4.0%
Dash Punctuation 102
 
1.3%
Other Punctuation 47
 
0.6%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 687
15.2%
구 633
14.0%
대 320
 
7.1%
광 311
 
6.9%
역 311
 
6.9%
시 311
 
6.9%
로 311
 
6.9%
길 196
 
4.3%
신 95
 
2.1%
공 60
 
1.3%
Other values (129) 1280
28.3%
Decimal Number
ValueCountFrequency (%)
1 274
22.0%
2 178
14.3%
3 158
12.7%
5 157
12.6%
4 108
 
8.7%
6 105
 
8.4%
9 80
 
6.4%
0 75
 
6.0%
7 69
 
5.5%
8 43
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
D 2
28.6%
R 2
28.6%
B 2
28.6%
L 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 45
95.7%
& 2
 
4.3%
Space Separator
ValueCountFrequency (%)
1338
100.0%
Open Punctuation
ValueCountFrequency (%)
( 316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4515
57.2%
Common 3366
42.7%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 687
15.2%
구 633
14.0%
대 320
 
7.1%
광 311
 
6.9%
역 311
 
6.9%
시 311
 
6.9%
로 311
 
6.9%
길 196
 
4.3%
신 95
 
2.1%
공 60
 
1.3%
Other values (129) 1280
28.3%
Common
ValueCountFrequency (%)
1338
39.8%
( 316
 
9.4%
) 316
 
9.4%
1 274
 
8.1%
2 178
 
5.3%
3 158
 
4.7%
5 157
 
4.7%
4 108
 
3.2%
6 105
 
3.1%
- 102
 
3.0%
Other values (6) 314
 
9.3%
Latin
ValueCountFrequency (%)
D 2
28.6%
R 2
28.6%
B 2
28.6%
L 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4515
57.2%
ASCII 3373
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1338
39.7%
( 316
 
9.4%
) 316
 
9.4%
1 274
 
8.1%
2 178
 
5.3%
3 158
 
4.7%
5 157
 
4.7%
4 108
 
3.2%
6 105
 
3.1%
- 102
 
3.0%
Other values (10) 321
 
9.5%
Hangul
ValueCountFrequency (%)
동 687
15.2%
구 633
14.0%
대 320
 
7.1%
광 311
 
6.9%
역 311
 
6.9%
시 311
 
6.9%
로 311
 
6.9%
길 196
 
4.3%
신 95
 
2.1%
공 60
 
1.3%
Other values (129) 1280
28.3%

전화번호
Text

MISSING 

Distinct292
Distinct (%)97.0%
Missing9
Missing (%)2.9%
Memory size2.6 KiB
2024-04-18T16:05:36.940966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.996678
Min length9

Characters and Unicode

Total characters3611
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

Unique285 ?
Unique (%)94.7%

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 4
 
1.3%
053-981-0241 2
 
0.7%
053-963-4535 2
 
0.7%
053-986-8555 2
 
0.7%
053-768-4887 2
 
0.7%
053-963-2233 2
 
0.7%
053-582-2209 2
 
0.7%
053-941-0337 1
 
0.3%
053-984-3862 1
 
0.3%
053-986-1031 1
 
0.3%
Other values (282) 282
93.7%
2024-04-18T16:05:37.309273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 599
16.6%
0 521
14.4%
3 510
14.1%
5 508
14.1%
9 281
7.8%
6 243
6.7%
8 238
 
6.6%
2 230
 
6.4%
1 182
 
5.0%
4 166
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3012
83.4%
Dash Punctuation 599
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 521
17.3%
3 510
16.9%
5 508
16.9%
9 281
9.3%
6 243
8.1%
8 238
7.9%
2 230
7.6%
1 182
 
6.0%
4 166
 
5.5%
7 133
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 599
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3611
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 599
16.6%
0 521
14.4%
3 510
14.1%
5 508
14.1%
9 281
7.8%
6 243
6.7%
8 238
 
6.6%
2 230
 
6.4%
1 182
 
5.0%
4 166
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 599
16.6%
0 521
14.4%
3 510
14.1%
5 508
14.1%
9 281
7.8%
6 243
6.7%
8 238
 
6.6%
2 230
 
6.4%
1 182
 
5.0%
4 166
 
4.6%

생산품
Text

Distinct282
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-18T16:05:37.541375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length21
Mean length7.2967742
Min length1

Characters and Unicode

Total characters2262
Distinct characters376
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

Unique267 ?
Unique (%)86.1%

Sample

1st row도서,인쇄물
2nd row도어형자연환기시스템,세대현관문,실외기문,대피방화문,유리방화문
3rd row콘텍트렌즈
4th row안경테
5th row도시락
ValueCountFrequency (%)
광고물 11
 
2.5%
의료용 10
 
2.3%
및 9
 
2.1%
외 6
 
1.4%
창호 6
 
1.4%
계측기기 5
 
1.1%
등 5
 
1.1%
목공예품 4
 
0.9%
간판 3
 
0.7%
도시락 3
 
0.7%
Other values (349) 377
85.9%
2024-04-18T16:05:37.902047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
 
5.7%
, 119
 
5.3%
기 88
 
3.9%
용 53
 
2.3%
장 45
 
2.0%
자 34
 
1.5%
제 33
 
1.5%
스 32
 
1.4%
조 29
 
1.3%
품 28
 
1.2%
Other values (366) 1671
73.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1900
84.0%
Space Separator 130
 
5.7%
Other Punctuation 121
 
5.3%
Uppercase Letter 66
 
2.9%
Lowercase Letter 19
 
0.8%
Close Punctuation 10
 
0.4%
Open Punctuation 10
 
0.4%
Dash Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 88
 
4.6%
용 53
 
2.8%
장 45
 
2.4%
자 34
 
1.8%
제 33
 
1.7%
스 32
 
1.7%
조 29
 
1.5%
품 28
 
1.5%
계 27
 
1.4%
의 26
 
1.4%
Other values (331) 1505
79.2%
Uppercase Letter
ValueCountFrequency (%)
C 9
13.6%
D 7
10.6%
E 7
10.6%
T 7
10.6%
L 5
7.6%
V 5
7.6%
M 4
 
6.1%
A 4
 
6.1%
R 4
 
6.1%
P 3
 
4.5%
Other values (8) 11
16.7%
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 (%)
, 119
98.3%
/ 1
 
0.8%
. 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
0 1
33.3%
Space Separator
ValueCountFrequency (%)
130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1900
84.0%
Common 277
 
12.2%
Latin 85
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 88
 
4.6%
용 53
 
2.8%
장 45
 
2.4%
자 34
 
1.8%
제 33
 
1.7%
스 32
 
1.7%
조 29
 
1.5%
품 28
 
1.5%
계 27
 
1.4%
의 26
 
1.4%
Other values (331) 1505
79.2%
Latin
ValueCountFrequency (%)
C 9
 
10.6%
D 7
 
8.2%
E 7
 
8.2%
T 7
 
8.2%
c 6
 
7.1%
L 5
 
5.9%
V 5
 
5.9%
M 4
 
4.7%
A 4
 
4.7%
R 4
 
4.7%
Other values (16) 27
31.8%
Common
ValueCountFrequency (%)
130
46.9%
, 119
43.0%
) 10
 
3.6%
( 10
 
3.6%
- 3
 
1.1%
1 2
 
0.7%
/ 1
 
0.4%
. 1
 
0.4%
0 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1900
84.0%
ASCII 362
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
35.9%
, 119
32.9%
) 10
 
2.8%
( 10
 
2.8%
C 9
 
2.5%
D 7
 
1.9%
E 7
 
1.9%
T 7
 
1.9%
c 6
 
1.7%
L 5
 
1.4%
Other values (25) 52
 
14.4%
Hangul
ValueCountFrequency (%)
기 88
 
4.6%
용 53
 
2.8%
장 45
 
2.4%
자 34
 
1.8%
제 33
 
1.7%
스 32
 
1.7%
조 29
 
1.5%
품 28
 
1.5%
계 27
 
1.4%
의 26
 
1.4%
Other values (331) 1505
79.2%

공장홈페이지
Text

Distinct69
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-18T16:05:38.143096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length1
Mean length4.3290323
Min length1

Characters and Unicode

Total characters1342
Distinct characters52
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 (%)21.9%

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%
2024-04-18T16:05:38.503632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
18.0%
w 188
14.0%
. 167
12.4%
o 100
 
7.5%
c 76
 
5.7%
r 57
 
4.2%
k 55
 
4.1%
n 49
 
3.7%
e 42
 
3.1%
a 39
 
2.9%
Other values (42) 327
24.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 889
66.2%
Space Separator 242
 
18.0%
Other Punctuation 172
 
12.8%
Decimal Number 20
 
1.5%
Other Letter 8
 
0.6%
Uppercase Letter 7
 
0.5%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 188
21.1%
o 100
11.2%
c 76
 
8.5%
r 57
 
6.4%
k 55
 
6.2%
n 49
 
5.5%
e 42
 
4.7%
a 39
 
4.4%
m 37
 
4.2%
i 32
 
3.6%
Other values (15) 214
24.1%
Other Letter
ValueCountFrequency (%)
두 1
12.5%
부 1
12.5%
기 1
12.5%
계 1
12.5%
칼 1
12.5%
라 1
12.5%
뱅 1
12.5%
크 1
12.5%
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 (%)
. 167
97.1%
/ 3
 
1.7%
: 1
 
0.6%
@ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 896
66.8%
Common 438
32.6%
Hangul 8
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 188
21.0%
o 100
11.2%
c 76
 
8.5%
r 57
 
6.4%
k 55
 
6.1%
n 49
 
5.5%
e 42
 
4.7%
a 39
 
4.4%
m 37
 
4.1%
i 32
 
3.6%
Other values (21) 221
24.7%
Common
ValueCountFrequency (%)
242
55.3%
. 167
38.1%
0 6
 
1.4%
2 5
 
1.1%
- 4
 
0.9%
1 3
 
0.7%
/ 3
 
0.7%
3 2
 
0.5%
4 2
 
0.5%
: 1
 
0.2%
Other values (3) 3
 
0.7%
Hangul
ValueCountFrequency (%)
두 1
12.5%
부 1
12.5%
기 1
12.5%
계 1
12.5%
칼 1
12.5%
라 1
12.5%
뱅 1
12.5%
크 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1334
99.4%
Hangul 8
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
18.1%
w 188
14.1%
. 167
12.5%
o 100
 
7.5%
c 76
 
5.7%
r 57
 
4.3%
k 55
 
4.1%
n 49
 
3.7%
e 42
 
3.1%
a 39
 
2.9%
Other values (34) 319
23.9%
Hangul
ValueCountFrequency (%)
두 1
12.5%
부 1
12.5%
기 1
12.5%
계 1
12.5%
칼 1
12.5%
라 1
12.5%
뱅 1
12.5%
크 1
12.5%

Interactions

2024-04-18T16:05:34.173053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T16:05:38.608076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명공장홈페이지
순번1.0000.2500.084
단지명0.2501.0000.000
공장홈페이지0.0840.0001.000
2024-04-18T16:05:38.689059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명
순번1.0000.150
단지명0.1501.000

Missing values

2024-04-18T16:05:34.269830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T16:05:34.371032image/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 각산동 1147번지 305호053-621-2853도서,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)극동기전황호진대구광역시 동구 신평로 84 (신평동)053-983-2263가스메타기
910(주)글로벌엔지니어링최윤대대구광역시 동구 화랑로 533 (용계동)053-985-9046방산부품및반도체장비www.globaleng.co.kr
순번회사명단지명대표자명공장대표주소전화번호생산품공장홈페이지
300301한일시멘트(주)대구공장허기호, 곽의영대구광역시 동구 반야월로 266 (동호동) (총 3 필지)053-962-5711레미콘hanilcement.co.kr
301302한일피복공업(주)권종중대구광역시 동구 신암남로23길 30, 지하 (신암동)02-463-2885구명복외 봉제의복
302303해원테크이재삼대구광역시 동구 둔산로 240-6 (방촌동)053-583-3307자동차헤드램프류 사출금형
303304해인장애인보호작업장대구이시아폴리스일반산업단지김정일대구광역시 동구 팔공로45길 23, (주)젠텍스 내 (봉무동)053-981-3432자동차 부품
304305현대밤바최영두대구광역시 동구 반야월북로11길 21-8 (각산동)053-965-7784밤바
305306형제스텐현만석대구광역시 동구 해동로 209-2 (검사동)053-981-5040방화창,주방기기
306307화성목공예손세창대구광역시 동구 팔공로27길 27-3 (불로동) (총 2 필지)053-983-9361목공예품
307308화신산업이동희대구광역시 동구 안심로59길 39 (동호동)053-962-6562합사
308309화인시스템(주)권학철대구광역시 동구 화랑로9길 23 (신천동)053-817-8023자동제어반
309310효성양산박실용대구광역시 동구 해동로 157-3 (검사동)053-983-0829우산,양산