Overview

Dataset statistics

Number of variables7
Number of observations108
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory58.2 B

Variable types

Numeric1
Text6

Dataset

Description대구 지역 여성기업 생산품 현황(2012년)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15051508&dataSetDetailId=1505150829802758da858_201705310937&provdMethod=FILE

Alerts

팩스 has 2 (1.9%) missing valuesMissing
연번 has unique valuesUnique
회사명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 18:32:53.301879
Analysis finished2023-12-10 18:32:54.496552
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.490741
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:32:54.665094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.35
Q127.75
median55.5
Q383.25
95-th percentile104.65
Maximum110
Range109
Interquartile range (IQR)55.5

Descriptive statistics

Standard deviation32.190291
Coefficient of variation (CV)0.58010203
Kurtosis-1.2332016
Mean55.490741
Median Absolute Deviation (MAD)28
Skewness0.0008654318
Sum5993
Variance1036.2149
MonotonicityStrictly increasing
2023-12-11T03:32:54.947347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
72 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%

회사명
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T03:32:55.440669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.5833333
Min length3

Characters and Unicode

Total characters603
Distinct characters216
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)100.0%

Sample

1st row세림화학공업사
2nd row㈜유신섬유
3rd row대구중앙청과㈜
4th row명진화섬
5th row㈜신영도시개발
ValueCountFrequency (%)
세림화학공업사 1
 
0.9%
세보미명가 1
 
0.9%
중앙자수 1
 
0.9%
혜성어패럴 1
 
0.9%
사)미망인모자복지회 1
 
0.9%
㈜화선 1
 
0.9%
나나피엔씨 1
 
0.9%
㈜기남상사 1
 
0.9%
㈜마이하우스 1
 
0.9%
영일엔지니어링㈜ 1
 
0.9%
Other values (102) 102
91.1%
2023-12-11T03:32:56.173168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 53
 
8.8%
사 16
 
2.7%
이 12
 
2.0%
인 11
 
1.8%
영 10
 
1.7%
한 9
 
1.5%
디 9
 
1.5%
동 8
 
1.3%
업 8
 
1.3%
일 7
 
1.2%
Other values (206) 460
76.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
87.4%
Other Symbol 53
 
8.8%
Uppercase Letter 10
 
1.7%
Other Punctuation 5
 
0.8%
Space Separator 4
 
0.7%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 16
 
3.0%
이 12
 
2.3%
인 11
 
2.1%
영 10
 
1.9%
한 9
 
1.7%
디 9
 
1.7%
동 8
 
1.5%
업 8
 
1.5%
일 7
 
1.3%
진 7
 
1.3%
Other values (190) 430
81.6%
Uppercase Letter
ValueCountFrequency (%)
J 2
20.0%
T 1
10.0%
F 1
10.0%
M 1
10.0%
S 1
10.0%
A 1
10.0%
C 1
10.0%
N 1
10.0%
E 1
10.0%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
. 2
40.0%
, 1
20.0%
Other Symbol
ValueCountFrequency (%)
㈜ 53
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 580
96.2%
Common 13
 
2.2%
Latin 10
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 53
 
9.1%
사 16
 
2.8%
이 12
 
2.1%
인 11
 
1.9%
영 10
 
1.7%
한 9
 
1.6%
디 9
 
1.6%
동 8
 
1.4%
업 8
 
1.4%
일 7
 
1.2%
Other values (191) 437
75.3%
Latin
ValueCountFrequency (%)
J 2
20.0%
T 1
10.0%
F 1
10.0%
M 1
10.0%
S 1
10.0%
A 1
10.0%
C 1
10.0%
N 1
10.0%
E 1
10.0%
Common
ValueCountFrequency (%)
4
30.8%
) 2
15.4%
& 2
15.4%
. 2
15.4%
( 2
15.4%
, 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
87.4%
None 53
 
8.8%
ASCII 23
 
3.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 53
100.0%
Hangul
ValueCountFrequency (%)
사 16
 
3.0%
이 12
 
2.3%
인 11
 
2.1%
영 10
 
1.9%
한 9
 
1.7%
디 9
 
1.7%
동 8
 
1.5%
업 8
 
1.5%
일 7
 
1.3%
진 7
 
1.3%
Other values (190) 430
81.6%
ASCII
ValueCountFrequency (%)
4
17.4%
) 2
 
8.7%
& 2
 
8.7%
. 2
 
8.7%
J 2
 
8.7%
( 2
 
8.7%
T 1
 
4.3%
F 1
 
4.3%
M 1
 
4.3%
S 1
 
4.3%
Other values (5) 5
21.7%

주생산품
Text

Distinct103
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T03:32:56.561444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length19
Mean length11.462963
Min length2

Characters and Unicode

Total characters1238
Distinct characters242
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)90.7%

Sample

1st row스치로폴
2nd row섬유, 벨벳
3rd row청과물, 농산물
4th row폴리에스텔 나염,염색,가공
5th row일반건설(토목공사, 토건공사, 건축공사)전문건설(포장, 철근콘크리트, 상하수도, 토공사)
ValueCountFrequency (%)
및 6
 
2.5%
정보통신공사 4
 
1.7%
커튼 4
 
1.7%
자동차부품 4
 
1.7%
임대 3
 
1.3%
판매 3
 
1.3%
침구 3
 
1.3%
실내건축공사 3
 
1.3%
의류 3
 
1.3%
직물 3
 
1.3%
Other values (190) 203
84.9%
2023-12-11T03:32:57.247370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
10.8%
, 109
 
8.8%
공 33
 
2.7%
기 31
 
2.5%
사 26
 
2.1%
자 21
 
1.7%
물 19
 
1.5%
품 19
 
1.5%
건 16
 
1.3%
용 16
 
1.3%
Other values (232) 814
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 953
77.0%
Space Separator 134
 
10.8%
Other Punctuation 119
 
9.6%
Uppercase Letter 14
 
1.1%
Open Punctuation 8
 
0.6%
Close Punctuation 8
 
0.6%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 33
 
3.5%
기 31
 
3.3%
사 26
 
2.7%
자 21
 
2.2%
물 19
 
2.0%
품 19
 
2.0%
건 16
 
1.7%
용 16
 
1.7%
구 14
 
1.5%
조 14
 
1.5%
Other values (216) 744
78.1%
Uppercase Letter
ValueCountFrequency (%)
L 3
21.4%
W 2
14.3%
S 2
14.3%
D 2
14.3%
E 2
14.3%
A 1
 
7.1%
V 1
 
7.1%
T 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 109
91.6%
/ 5
 
4.2%
· 3
 
2.5%
. 2
 
1.7%
Space Separator
ValueCountFrequency (%)
134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 953
77.0%
Common 271
 
21.9%
Latin 14
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 33
 
3.5%
기 31
 
3.3%
사 26
 
2.7%
자 21
 
2.2%
물 19
 
2.0%
품 19
 
2.0%
건 16
 
1.7%
용 16
 
1.7%
구 14
 
1.5%
조 14
 
1.5%
Other values (216) 744
78.1%
Common
ValueCountFrequency (%)
134
49.4%
, 109
40.2%
( 8
 
3.0%
) 8
 
3.0%
/ 5
 
1.8%
· 3
 
1.1%
- 2
 
0.7%
. 2
 
0.7%
Latin
ValueCountFrequency (%)
L 3
21.4%
W 2
14.3%
S 2
14.3%
D 2
14.3%
E 2
14.3%
A 1
 
7.1%
V 1
 
7.1%
T 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 953
77.0%
ASCII 282
 
22.8%
None 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
47.5%
, 109
38.7%
( 8
 
2.8%
) 8
 
2.8%
/ 5
 
1.8%
L 3
 
1.1%
W 2
 
0.7%
- 2
 
0.7%
S 2
 
0.7%
. 2
 
0.7%
Other values (5) 7
 
2.5%
Hangul
ValueCountFrequency (%)
공 33
 
3.5%
기 31
 
3.3%
사 26
 
2.7%
자 21
 
2.2%
물 19
 
2.0%
품 19
 
2.0%
건 16
 
1.7%
용 16
 
1.7%
구 14
 
1.5%
조 14
 
1.5%
Other values (216) 744
78.1%
None
ValueCountFrequency (%)
· 3
100.0%

성명
Text

Distinct106
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T03:32:57.815734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9907407
Min length2

Characters and Unicode

Total characters323
Distinct characters95
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)96.3%

Sample

1st row고종규
2nd row손희정
3rd row정명금
4th row석정달
5th row김순덕
ValueCountFrequency (%)
이유진 2
 
1.9%
김명화 2
 
1.9%
전점숙 1
 
0.9%
이재숙 1
 
0.9%
이윤경 1
 
0.9%
장순희 1
 
0.9%
이화선 1
 
0.9%
이호숙 1
 
0.9%
이혜경 1
 
0.9%
이채은 1
 
0.9%
Other values (96) 96
88.9%
2023-12-11T03:32:58.613713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 24
 
7.4%
김 18
 
5.6%
희 13
 
4.0%
순 13
 
4.0%
정 13
 
4.0%
숙 13
 
4.0%
박 11
 
3.4%
자 11
 
3.4%
영 11
 
3.4%
옥 9
 
2.8%
Other values (85) 187
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 24
 
7.4%
김 18
 
5.6%
희 13
 
4.0%
순 13
 
4.0%
정 13
 
4.0%
숙 13
 
4.0%
박 11
 
3.4%
자 11
 
3.4%
영 11
 
3.4%
옥 9
 
2.8%
Other values (85) 187
57.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 24
 
7.4%
김 18
 
5.6%
희 13
 
4.0%
순 13
 
4.0%
정 13
 
4.0%
숙 13
 
4.0%
박 11
 
3.4%
자 11
 
3.4%
영 11
 
3.4%
옥 9
 
2.8%
Other values (85) 187
57.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 24
 
7.4%
김 18
 
5.6%
희 13
 
4.0%
순 13
 
4.0%
정 13
 
4.0%
숙 13
 
4.0%
박 11
 
3.4%
자 11
 
3.4%
영 11
 
3.4%
옥 9
 
2.8%
Other values (85) 187
57.9%

연락처
Text

Distinct107
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T03:32:59.024434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.981481
Min length9

Characters and Unicode

Total characters1294
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

Unique106 ?
Unique (%)98.1%

Sample

1st row053-742-1381
2nd row053-615-8999
3rd row053-312-9115
4th row053-584-0411
5th row053-527-8821
ValueCountFrequency (%)
053-592-7722 2
 
1.9%
053-357-8558 1
 
0.9%
053-567-9019 1
 
0.9%
053-313-4288 1
 
0.9%
053-582-6771 1
 
0.9%
053-255-1114 1
 
0.9%
1566-1065 1
 
0.9%
053-588-1741 1
 
0.9%
053-744-0838 1
 
0.9%
053-427-1423 1
 
0.9%
Other values (97) 97
89.8%
2023-12-11T03:33:00.247738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 215
16.6%
- 215
16.6%
3 178
13.8%
0 173
13.4%
2 89
6.9%
7 85
 
6.6%
1 82
 
6.3%
8 76
 
5.9%
4 69
 
5.3%
6 59
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1079
83.4%
Dash Punctuation 215
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 215
19.9%
3 178
16.5%
0 173
16.0%
2 89
8.2%
7 85
 
7.9%
1 82
 
7.6%
8 76
 
7.0%
4 69
 
6.4%
6 59
 
5.5%
9 53
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 215
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1294
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 215
16.6%
- 215
16.6%
3 178
13.8%
0 173
13.4%
2 89
6.9%
7 85
 
6.6%
1 82
 
6.3%
8 76
 
5.9%
4 69
 
5.3%
6 59
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 215
16.6%
- 215
16.6%
3 178
13.8%
0 173
13.4%
2 89
6.9%
7 85
 
6.6%
1 82
 
6.3%
8 76
 
5.9%
4 69
 
5.3%
6 59
 
4.6%

팩스
Text

MISSING 

Distinct106
Distinct (%)100.0%
Missing2
Missing (%)1.9%
Memory size996.0 B
2023-12-11T03:33:00.735197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1272
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

Unique106 ?
Unique (%)100.0%

Sample

1st row053-742-2271
2nd row053-631-8216
3rd row053-312-9116
4th row053-356-1315
5th row053-527-8820
ValueCountFrequency (%)
053-256-6327 1
 
0.9%
053-616-5005 1
 
0.9%
053-746-8088 1
 
0.9%
053-312-8053 1
 
0.9%
053-582-6774 1
 
0.9%
053-252-8677 1
 
0.9%
053-424-1065 1
 
0.9%
053-588-1743 1
 
0.9%
053-744-7857 1
 
0.9%
053-427-1424 1
 
0.9%
Other values (96) 96
90.6%
2023-12-11T03:33:01.696328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 215
16.9%
- 212
16.7%
3 173
13.6%
0 163
12.8%
2 90
7.1%
7 85
 
6.7%
6 84
 
6.6%
8 71
 
5.6%
4 67
 
5.3%
1 57
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1060
83.3%
Dash Punctuation 212
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 215
20.3%
3 173
16.3%
0 163
15.4%
2 90
8.5%
7 85
 
8.0%
6 84
 
7.9%
8 71
 
6.7%
4 67
 
6.3%
1 57
 
5.4%
9 55
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1272
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 215
16.9%
- 212
16.7%
3 173
13.6%
0 163
12.8%
2 90
7.1%
7 85
 
6.7%
6 84
 
6.6%
8 71
 
5.6%
4 67
 
5.3%
1 57
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 215
16.9%
- 212
16.7%
3 173
13.6%
0 163
12.8%
2 90
7.1%
7 85
 
6.7%
6 84
 
6.6%
8 71
 
5.6%
4 67
 
5.3%
1 57
 
4.5%

주소
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T03:33:02.319079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length32
Mean length20.407407
Min length15

Characters and Unicode

Total characters2204
Distinct characters141
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

Unique108 ?
Unique (%)100.0%

Sample

1st row 대구시 수성구 수성4가 1090-8
2nd row 대구시 달성군 논공읍 본리리 103-11
3rd row 대구시 북구 매천동 527-3
4th row 대구시 달서구 대천동 736
5th row 대구시 달서구 본동 1138
ValueCountFrequency (%)
대구시 100
 
20.9%
달서구 23
 
4.8%
수성구 22
 
4.6%
북구 18
 
3.8%
중구 16
 
3.3%
서구 11
 
2.3%
대구 8
 
1.7%
동구 7
 
1.5%
달성군 6
 
1.3%
검단동 4
 
0.8%
Other values (212) 264
55.1%
2023-12-11T03:33:03.080225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
481
21.8%
구 215
 
9.8%
1 142
 
6.4%
대 124
 
5.6%
동 105
 
4.8%
시 100
 
4.5%
- 84
 
3.8%
3 67
 
3.0%
2 64
 
2.9%
0 52
 
2.4%
Other values (131) 770
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1101
50.0%
Decimal Number 526
23.9%
Space Separator 481
21.8%
Dash Punctuation 84
 
3.8%
Uppercase Letter 6
 
0.3%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 215
19.5%
대 124
 
11.3%
동 105
 
9.5%
시 100
 
9.1%
서 38
 
3.5%
성 34
 
3.1%
달 31
 
2.8%
수 25
 
2.3%
중 23
 
2.1%
산 21
 
1.9%
Other values (111) 385
35.0%
Decimal Number
ValueCountFrequency (%)
1 142
27.0%
3 67
12.7%
2 64
12.2%
0 52
 
9.9%
5 41
 
7.8%
7 38
 
7.2%
8 35
 
6.7%
9 34
 
6.5%
4 28
 
5.3%
6 25
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
F 1
 
16.7%
T 1
 
16.7%
C 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
481
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1101
50.0%
Common 1097
49.8%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 215
19.5%
대 124
 
11.3%
동 105
 
9.5%
시 100
 
9.1%
서 38
 
3.5%
성 34
 
3.1%
달 31
 
2.8%
수 25
 
2.3%
중 23
 
2.1%
산 21
 
1.9%
Other values (111) 385
35.0%
Common
ValueCountFrequency (%)
481
43.8%
1 142
 
12.9%
- 84
 
7.7%
3 67
 
6.1%
2 64
 
5.8%
0 52
 
4.7%
5 41
 
3.7%
7 38
 
3.5%
8 35
 
3.2%
9 34
 
3.1%
Other values (6) 59
 
5.4%
Latin
ValueCountFrequency (%)
B 3
50.0%
F 1
 
16.7%
T 1
 
16.7%
C 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1103
50.0%
Hangul 1101
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
481
43.6%
1 142
 
12.9%
- 84
 
7.6%
3 67
 
6.1%
2 64
 
5.8%
0 52
 
4.7%
5 41
 
3.7%
7 38
 
3.4%
8 35
 
3.2%
9 34
 
3.1%
Other values (10) 65
 
5.9%
Hangul
ValueCountFrequency (%)
구 215
19.5%
대 124
 
11.3%
동 105
 
9.5%
시 100
 
9.1%
서 38
 
3.5%
성 34
 
3.1%
달 31
 
2.8%
수 25
 
2.3%
중 23
 
2.1%
산 21
 
1.9%
Other values (111) 385
35.0%

Interactions

2023-12-11T03:32:53.999263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T03:32:54.220615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:32:54.422164image/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

연번회사명주생산품성명연락처팩스주소
01세림화학공업사스치로폴고종규053-742-1381053-742-2271대구시 수성구 수성4가 1090-8
12㈜유신섬유섬유, 벨벳손희정053-615-8999053-631-8216대구시 달성군 논공읍 본리리 103-11
23대구중앙청과㈜청과물, 농산물정명금053-312-9115053-312-9116대구시 북구 매천동 527-3
34명진화섬폴리에스텔 나염,염색,가공석정달053-584-0411053-356-1315대구시 달서구 대천동 736
45㈜신영도시개발일반건설(토목공사, 토건공사, 건축공사)전문건설(포장, 철근콘크리트, 상하수도, 토공사)김순덕053-527-8821053-527-8820대구시 달서구 본동 1138
56㈜유림물산고감성면직물, 고직물생산 및 싸이징이진주053-588-8933053-588-8937대구시 달서구 월암동 1-61
67서호이노베이션㈜오피씨드럼/LED용 AL기판/환경디자인이인현053-382-3648053-382-9090대구시 북구 산격동 1763번지
78경북광유㈜석유류외(타이어, 운송. 컴퓨터)박윤경053-430-5109053-422-0056대구시 중구 동인2가 25
89㈜멀티애드메이저상업인쇄, 광고대행, 전광판광고, 옥상간판박진향053-751-5005053-751-1633대구시 수성구 만촌1동 1341-5번지 301호
910㈜수정기업무대기계장치, 도장방수공사, 실내건축공사손영옥053-354-5609053-354-5610대구시 북구 침산동 458-8번지
연번회사명주생산품성명연락처팩스주소
98101㈜우성배관테크상하수도자재박은애053-474-0729053-472-0731대구시 북구 검단동 838-112
99102㈜곰두리푸드웰졸음퇴치용캔디이금053-249-3512053-357-3512대구시 북구 노원3가 1057번지 중소기업사무소 206호
100103㈜리서치코리아시장조사, 여론조사, 컨설팅, 학술연구용역조미옥053-422-5004053-421-0306대구시 동구 신천동 645-1 4F
101104백현주 한복 연구소한복백현주053-942-6029053-784-9077대구 수성 만촌동 인터불고호텔
102105대상기업전기공사김상미053-792-5553053-794-6663대구시 수성구 매호동 1085-9
103106부림영농조합법인김치, 배추절임기공황금자053-961-8889053-961-6668대구시 동구 신서동 621-4
104107스타일리쉬 쥬얼리 비옹웨딩 주얼리, 보석 장신구 외윤정미053-255-0717053-255-0717대구 중구 대봉동 117-17
105108보그너&커터앤벅의류, 골프웨어이난심053-587-0064053-587-0064대구시 달서구 달서대로 463번지 B동 1.2호
106109고문당인쇄㈜인쇄장선윤053-583-4878053-352-9955대구시 달서구 대천동 593-7
107110하나테크도금, 자동차부품, 화공약품전영미053-551-5516053-551-5552대구시 서구 중리동 1022-8