Overview

Dataset statistics

Number of variables6
Number of observations278
Missing cells10
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Text5

Dataset

Description대구광역시_동구_공장등록 정보_20200515
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3075346&dataSetDetailId=30753461c51b9a59fbae&provdMethod=FILE

Alerts

전화번호 has 10 (3.6%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 18:22:12.992534
Analysis finished2023-12-10 18:22:14.424193
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct278
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.5
Minimum1
Maximum278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T03:22:14.539798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.85
Q170.25
median139.5
Q3208.75
95-th percentile264.15
Maximum278
Range277
Interquartile range (IQR)138.5

Descriptive statistics

Standard deviation80.395895
Coefficient of variation (CV)0.57631466
Kurtosis-1.2
Mean139.5
Median Absolute Deviation (MAD)69.5
Skewness0
Sum38781
Variance6463.5
MonotonicityStrictly increasing
2023-12-11T03:22:14.778670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
185 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
189 1
 
0.4%
188 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
184 1
 
0.4%
176 1
 
0.4%
Other values (268) 268
96.4%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
278 1
0.4%
277 1
0.4%
276 1
0.4%
275 1
0.4%
274 1
0.4%
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%

회사명
Text

Distinct275
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T03:22:15.046990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length6.9820144
Min length2

Characters and Unicode

Total characters1941
Distinct characters283
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

Unique272 ?
Unique (%)97.8%

Sample

1st row(사)중증장애인맞춤형일자리제공지원협회(동대구지사)
2nd row(사)한국척수장애인협회디지털사업단
3rd row(주)E.O.S
4th row(주)경민광학
5th row(주)경북 캐터링
ValueCountFrequency (%)
주식회사 5
 
1.6%
농업회사법인 3
 
1.0%
주)호엠코리아 2
 
0.7%
주)에이치엠지 2
 
0.7%
대구공장 2
 
0.7%
주)디케이 2
 
0.7%
주)유니월드 2
 
0.7%
서도산업(주 1
 
0.3%
산들정보통신(주 1
 
0.3%
삼성금속공업사 1
 
0.3%
Other values (283) 283
93.1%
2023-12-11T03:22:15.507769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 155
 
8.0%
( 148
 
7.6%
) 148
 
7.6%
이 50
 
2.6%
업 44
 
2.3%
산 41
 
2.1%
대 37
 
1.9%
사 34
 
1.8%
스 32
 
1.6%
공 31
 
1.6%
Other values (273) 1221
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1583
81.6%
Open Punctuation 148
 
7.6%
Close Punctuation 148
 
7.6%
Space Separator 27
 
1.4%
Uppercase Letter 26
 
1.3%
Other Punctuation 8
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 155
 
9.8%
이 50
 
3.2%
업 44
 
2.8%
산 41
 
2.6%
대 37
 
2.3%
사 34
 
2.1%
스 32
 
2.0%
공 31
 
2.0%
에 31
 
2.0%
한 26
 
1.6%
Other values (255) 1102
69.6%
Uppercase Letter
ValueCountFrequency (%)
E 5
19.2%
N 4
15.4%
D 3
11.5%
G 3
11.5%
O 2
 
7.7%
I 2
 
7.7%
P 2
 
7.7%
A 1
 
3.8%
C 1
 
3.8%
T 1
 
3.8%
Other values (2) 2
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
& 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%
Close Punctuation
ValueCountFrequency (%)
) 148
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1583
81.6%
Common 332
 
17.1%
Latin 26
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 155
 
9.8%
이 50
 
3.2%
업 44
 
2.8%
산 41
 
2.6%
대 37
 
2.3%
사 34
 
2.1%
스 32
 
2.0%
공 31
 
2.0%
에 31
 
2.0%
한 26
 
1.6%
Other values (255) 1102
69.6%
Latin
ValueCountFrequency (%)
E 5
19.2%
N 4
15.4%
D 3
11.5%
G 3
11.5%
O 2
 
7.7%
I 2
 
7.7%
P 2
 
7.7%
A 1
 
3.8%
C 1
 
3.8%
T 1
 
3.8%
Other values (2) 2
 
7.7%
Common
ValueCountFrequency (%)
( 148
44.6%
) 148
44.6%
27
 
8.1%
. 7
 
2.1%
1 1
 
0.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1583
81.6%
ASCII 358
 
18.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 155
 
9.8%
이 50
 
3.2%
업 44
 
2.8%
산 41
 
2.6%
대 37
 
2.3%
사 34
 
2.1%
스 32
 
2.0%
공 31
 
2.0%
에 31
 
2.0%
한 26
 
1.6%
Other values (255) 1102
69.6%
ASCII
ValueCountFrequency (%)
( 148
41.3%
) 148
41.3%
27
 
7.5%
. 7
 
2.0%
E 5
 
1.4%
N 4
 
1.1%
D 3
 
0.8%
G 3
 
0.8%
O 2
 
0.6%
I 2
 
0.6%
Other values (8) 9
 
2.5%

공장대표주소
Text

Distinct269
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T03:22:15.933069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length43
Mean length25.964029
Min length17

Characters and Unicode

Total characters7218
Distinct characters155
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

Unique260 ?
Unique (%)93.5%

Sample

1st row대구광역시 동구 동호로9길 67, 401호 (신서동)
2nd row대구광역시 동구 첨단로 30, 113호, 114호 (신서동)
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 278
 
18.5%
동구 278
 
18.5%
신평동 31
 
2.1%
동호동 31
 
2.1%
각산동 26
 
1.7%
신서동 22
 
1.5%
용계동 19
 
1.3%
율암동 17
 
1.1%
불로동 17
 
1.1%
신천동 17
 
1.1%
Other values (365) 765
51.0%
2023-12-11T03:22:16.676902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1231
17.1%
동 626
 
8.7%
구 561
 
7.8%
대 292
 
4.0%
로 289
 
4.0%
) 287
 
4.0%
( 287
 
4.0%
역 279
 
3.9%
시 279
 
3.9%
광 278
 
3.9%
Other values (145) 2809
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4077
56.5%
Space Separator 1231
 
17.1%
Decimal Number 1161
 
16.1%
Close Punctuation 287
 
4.0%
Open Punctuation 287
 
4.0%
Dash Punctuation 93
 
1.3%
Other Punctuation 77
 
1.1%
Uppercase Letter 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 626
15.4%
구 561
13.8%
대 292
 
7.2%
로 289
 
7.1%
역 279
 
6.8%
시 279
 
6.8%
광 278
 
6.8%
길 173
 
4.2%
신 127
 
3.1%
안 55
 
1.3%
Other values (127) 1118
27.4%
Decimal Number
ValueCountFrequency (%)
1 259
22.3%
2 174
15.0%
5 123
10.6%
3 123
10.6%
6 105
9.0%
4 94
 
8.1%
0 90
 
7.8%
9 78
 
6.7%
7 71
 
6.1%
8 44
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
B 2
50.0%
Space Separator
ValueCountFrequency (%)
1231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Other Punctuation
ValueCountFrequency (%)
, 77
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4077
56.5%
Common 3136
43.4%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 626
15.4%
구 561
13.8%
대 292
 
7.2%
로 289
 
7.1%
역 279
 
6.8%
시 279
 
6.8%
광 278
 
6.8%
길 173
 
4.2%
신 127
 
3.1%
안 55
 
1.3%
Other values (127) 1118
27.4%
Common
ValueCountFrequency (%)
1231
39.3%
) 287
 
9.2%
( 287
 
9.2%
1 259
 
8.3%
2 174
 
5.5%
5 123
 
3.9%
3 123
 
3.9%
6 105
 
3.3%
4 94
 
3.0%
- 93
 
3.0%
Other values (5) 360
 
11.5%
Latin
ValueCountFrequency (%)
A 2
40.0%
B 2
40.0%
e 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4077
56.5%
ASCII 3141
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1231
39.2%
) 287
 
9.1%
( 287
 
9.1%
1 259
 
8.2%
2 174
 
5.5%
5 123
 
3.9%
3 123
 
3.9%
6 105
 
3.3%
4 94
 
3.0%
- 93
 
3.0%
Other values (8) 365
 
11.6%
Hangul
ValueCountFrequency (%)
동 626
15.4%
구 561
13.8%
대 292
 
7.2%
로 289
 
7.1%
역 279
 
6.8%
시 279
 
6.8%
광 278
 
6.8%
길 173
 
4.2%
신 127
 
3.1%
안 55
 
1.3%
Other values (127) 1118
27.4%

전화번호
Text

MISSING 

Distinct259
Distinct (%)96.6%
Missing10
Missing (%)3.6%
Memory size2.3 KiB
2023-12-11T03:22:17.123143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.988806
Min length9

Characters and Unicode

Total characters3213
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

Unique253 ?
Unique (%)94.4%

Sample

1st row053-621-2853
2nd row053-965-7277
3rd row053-962-7842
4th row053-983-6461
5th row053-963-0006
ValueCountFrequency (%)
053-985-3881 5
 
1.9%
053-354-3311 2
 
0.7%
053-964-6600 2
 
0.7%
053-856-6700 2
 
0.7%
053-964-0475 2
 
0.7%
053-963-2233 2
 
0.7%
053-941-0337 1
 
0.4%
053-984-8060 1
 
0.4%
053-965-6005 1
 
0.4%
053-326-1640 1
 
0.4%
Other values (249) 249
92.9%
2023-12-11T03:22:17.828118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 534
16.6%
5 453
14.1%
0 445
13.8%
3 437
13.6%
9 273
8.5%
6 228
7.1%
8 205
 
6.4%
1 194
 
6.0%
2 168
 
5.2%
4 151
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2679
83.4%
Dash Punctuation 534
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 453
16.9%
0 445
16.6%
3 437
16.3%
9 273
10.2%
6 228
8.5%
8 205
7.7%
1 194
7.2%
2 168
 
6.3%
4 151
 
5.6%
7 125
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 534
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3213
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 534
16.6%
5 453
14.1%
0 445
13.8%
3 437
13.6%
9 273
8.5%
6 228
7.1%
8 205
 
6.4%
1 194
 
6.0%
2 168
 
5.2%
4 151
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 534
16.6%
5 453
14.1%
0 445
13.8%
3 437
13.6%
9 273
8.5%
6 228
7.1%
8 205
 
6.4%
1 194
 
6.0%
2 168
 
5.2%
4 151
 
4.7%

생산품
Text

Distinct251
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T03:22:18.256618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length6.6906475
Min length1

Characters and Unicode

Total characters1860
Distinct characters361
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

Unique234 ?
Unique (%)84.2%

Sample

1st row도서
2nd row인쇄물
3rd row콘텍트렌즈
4th row안경테
5th row도시락
ValueCountFrequency (%)
및 11
 
2.9%
창호 8
 
2.1%
인쇄물 7
 
1.8%
외 5
 
1.3%
배전반 4
 
1.0%
등 4
 
1.0%
사무용가구 3
 
0.8%
영상감시장치 3
 
0.8%
우산,양산 3
 
0.8%
광고물 3
 
0.8%
Other values (310) 331
86.6%
2023-12-11T03:22:18.891551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
5.6%
, 86
 
4.6%
기 62
 
3.3%
장 37
 
2.0%
용 35
 
1.9%
스 32
 
1.7%
제 31
 
1.7%
가 28
 
1.5%
품 26
 
1.4%
물 26
 
1.4%
Other values (351) 1392
74.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1583
85.1%
Space Separator 105
 
5.6%
Other Punctuation 86
 
4.6%
Uppercase Letter 44
 
2.4%
Lowercase Letter 19
 
1.0%
Close Punctuation 10
 
0.5%
Open Punctuation 10
 
0.5%
Dash Punctuation 2
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 62
 
3.9%
장 37
 
2.3%
용 35
 
2.2%
스 32
 
2.0%
제 31
 
2.0%
가 28
 
1.8%
품 26
 
1.6%
물 26
 
1.6%
자 24
 
1.5%
조 24
 
1.5%
Other values (319) 1258
79.5%
Uppercase Letter
ValueCountFrequency (%)
C 7
15.9%
T 6
13.6%
D 5
11.4%
V 4
9.1%
A 3
 
6.8%
E 3
 
6.8%
R 2
 
4.5%
L 2
 
4.5%
I 2
 
4.5%
M 2
 
4.5%
Other values (8) 8
18.2%
Lowercase Letter
ValueCountFrequency (%)
c 6
31.6%
p 4
21.1%
v 3
15.8%
u 2
 
10.5%
a 1
 
5.3%
h 1
 
5.3%
s 1
 
5.3%
t 1
 
5.3%
Space Separator
ValueCountFrequency (%)
105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1583
85.1%
Common 214
 
11.5%
Latin 63
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 62
 
3.9%
장 37
 
2.3%
용 35
 
2.2%
스 32
 
2.0%
제 31
 
2.0%
가 28
 
1.8%
품 26
 
1.6%
물 26
 
1.6%
자 24
 
1.5%
조 24
 
1.5%
Other values (319) 1258
79.5%
Latin
ValueCountFrequency (%)
C 7
 
11.1%
T 6
 
9.5%
c 6
 
9.5%
D 5
 
7.9%
p 4
 
6.3%
V 4
 
6.3%
A 3
 
4.8%
v 3
 
4.8%
E 3
 
4.8%
R 2
 
3.2%
Other values (16) 20
31.7%
Common
ValueCountFrequency (%)
105
49.1%
, 86
40.2%
) 10
 
4.7%
( 10
 
4.7%
- 2
 
0.9%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1583
85.1%
ASCII 277
 
14.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
37.9%
, 86
31.0%
) 10
 
3.6%
( 10
 
3.6%
C 7
 
2.5%
T 6
 
2.2%
c 6
 
2.2%
D 5
 
1.8%
p 4
 
1.4%
V 4
 
1.4%
Other values (22) 34
 
12.3%
Hangul
ValueCountFrequency (%)
기 62
 
3.9%
장 37
 
2.3%
용 35
 
2.2%
스 32
 
2.0%
제 31
 
2.0%
가 28
 
1.8%
품 26
 
1.6%
물 26
 
1.6%
자 24
 
1.5%
조 24
 
1.5%
Other values (319) 1258
79.5%

공장홈페이지
Text

Distinct60
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T03:22:19.338019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length1
Mean length4.2697842
Min length1

Characters and Unicode

Total characters1187
Distinct characters43
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)21.2%

Sample

1st row
2nd row
3rd row
4th row
5th rowwww.food0006.com
ValueCountFrequency (%)
www.food0006.com 1
 
1.7%
http://thermatec.koreasme.com 1
 
1.7%
www.union21c.co.kr 1
 
1.7%
www.daegutakju.co.kr 1
 
1.7%
www.daedong24co.kr 1
 
1.7%
www.dl.co.kr 1
 
1.7%
www.dongoeng.co.kr 1
 
1.7%
www.dooyoung.or.kr 1
 
1.7%
www.webizen.co.kr/letom 1
 
1.7%
www.etzone.co.kr 1
 
1.7%
Other values (49) 49
83.1%
2023-12-11T03:22:20.020241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
18.4%
w 165
13.9%
. 147
12.4%
o 90
 
7.6%
c 66
 
5.6%
r 50
 
4.2%
k 49
 
4.1%
n 42
 
3.5%
e 42
 
3.5%
a 33
 
2.8%
Other values (33) 284
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 786
66.2%
Space Separator 219
 
18.4%
Other Punctuation 152
 
12.8%
Decimal Number 23
 
1.9%
Other Letter 4
 
0.3%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 165
21.0%
o 90
11.5%
c 66
 
8.4%
r 50
 
6.4%
k 49
 
6.2%
n 42
 
5.3%
e 42
 
5.3%
a 33
 
4.2%
m 31
 
3.9%
i 28
 
3.6%
Other values (15) 190
24.2%
Decimal Number
ValueCountFrequency (%)
0 6
26.1%
2 5
21.7%
1 5
21.7%
4 2
 
8.7%
3 2
 
8.7%
5 1
 
4.3%
6 1
 
4.3%
9 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 147
96.7%
/ 3
 
2.0%
@ 1
 
0.7%
: 1
 
0.7%
Other Letter
ValueCountFrequency (%)
두 1
25.0%
부 1
25.0%
기 1
25.0%
계 1
25.0%
Space Separator
ValueCountFrequency (%)
219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 786
66.2%
Common 397
33.4%
Hangul 4
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 165
21.0%
o 90
11.5%
c 66
 
8.4%
r 50
 
6.4%
k 49
 
6.2%
n 42
 
5.3%
e 42
 
5.3%
a 33
 
4.2%
m 31
 
3.9%
i 28
 
3.6%
Other values (15) 190
24.2%
Common
ValueCountFrequency (%)
219
55.2%
. 147
37.0%
0 6
 
1.5%
2 5
 
1.3%
1 5
 
1.3%
/ 3
 
0.8%
- 3
 
0.8%
4 2
 
0.5%
3 2
 
0.5%
5 1
 
0.3%
Other values (4) 4
 
1.0%
Hangul
ValueCountFrequency (%)
두 1
25.0%
부 1
25.0%
기 1
25.0%
계 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1183
99.7%
Hangul 4
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
18.5%
w 165
13.9%
. 147
12.4%
o 90
 
7.6%
c 66
 
5.6%
r 50
 
4.2%
k 49
 
4.1%
n 42
 
3.6%
e 42
 
3.6%
a 33
 
2.8%
Other values (29) 280
23.7%
Hangul
ValueCountFrequency (%)
두 1
25.0%
부 1
25.0%
기 1
25.0%
계 1
25.0%

Interactions

2023-12-11T03:22:13.885526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T03:22:20.184717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번공장홈페이지
순번1.0000.085
공장홈페이지0.0851.000

Missing values

2023-12-11T03:22:14.150060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:22:14.341617image/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

순번회사명공장대표주소전화번호생산품공장홈페이지
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12(사)한국척수장애인협회디지털사업단대구광역시 동구 첨단로 30, 113호, 114호 (신서동)053-965-7277인쇄물
23(주)E.O.S대구광역시 동구 안심로53길 58 (동호동) (총 2 필지) (총 2 필지)053-962-7842콘텍트렌즈
34(주)경민광학대구광역시 동구 화랑로 509 (용계동)053-983-6461안경테
45(주)경북 캐터링대구광역시 동구 반야월북로2길 10 (율암동)053-963-0006도시락www.food0006.com
56(주)경오전자대구광역시 동구 안심로73길 5 (신서동)053-963-0751DMB ANT
67(주)고려과학대구광역시 동구 동촌로45길 42 (방촌동)053-985-4131염색실험기기
78(주)구남공조ENG대구광역시 동구 팔공로29길 38 (불로동)053-981-4835닥트
89(주)글로벌엔지니어링대구광역시 동구 화랑로 533 (용계동)053-985-9046방산부품및반도체장비www.globaleng.co.kr
910(주)금강금속대구광역시 동구 신덕로 120 (신평동)053-983-6269보강심www.vdlife.co.kr
순번회사명공장대표주소전화번호생산품공장홈페이지
268269한미합자 제일화학(주)대구광역시 동구 대림로2길 54-11 (대림동)053-962-3108농약
269270한샘DECO대구광역시 동구 신평동 52-13번지<NA>주방가구 및 일반가구
270271한세정보통신(주)대구광역시 동구 신평로 140 (용계동)053-985-7601영상감시장치
271272한영종합인쇄대구광역시 동구 첨단로 30, 404호 (신서동)053-962-3200인쇄물www.hyprint.co.kr
272273한일시멘트(주)대구공장대구광역시 동구 반야월로 266 (동호동) (총 3 필지)053-962-5711레미콘hanilcement.co.kr
273274한창침장대구광역시 동구 신평로16길 57-20 (신평동)<NA>침구류 외
274275현대밤바대구광역시 동구 반야월북로11길 21-8 (각산동)053-965-7784밤바
275276현대이엔지대구광역시 동구 안심로53길 32 (동호동)053-423-4553냉동장비
276277화성R.P산업대구광역시 동구 안심로53길 54 (동호동)053-965-2070자동차부품(고무)
277278효성양산대구광역시 동구 해동로 157-3 (검사동)053-983-0829우산,양산