Overview

Dataset statistics

Number of variables8
Number of observations93
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory65.4 B

Variable types

Text8

Dataset

Description2015년 1월 기준 택시업체 현황
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15045174&dataSetDetailId=150451742aed408f2bd56&provdMethod=FILE

Alerts

업체 일람표 has unique valuesUnique
Unnamed: 1 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:53:22.628758
Analysis finished2024-04-21 02:53:25.938548
Duration3.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체 일람표
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T11:53:26.839103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.9032258
Min length1

Characters and Unicode

Total characters177
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row연번
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
연번 1
 
1.1%
48 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
Other values (83) 83
89.2%
2024-04-21T11:53:28.061127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 20
11.3%
1 20
11.3%
4 19
10.7%
5 19
10.7%
3 19
10.7%
6 19
10.7%
7 19
10.7%
8 19
10.7%
9 12
6.8%
0 9
5.1%
Other values (2) 2
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 175
98.9%
Other Letter 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
11.4%
1 20
11.4%
4 19
10.9%
5 19
10.9%
3 19
10.9%
6 19
10.9%
7 19
10.9%
8 19
10.9%
9 12
6.9%
0 9
5.1%
Other Letter
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 175
98.9%
Hangul 2
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 20
11.4%
1 20
11.4%
4 19
10.9%
5 19
10.9%
3 19
10.9%
6 19
10.9%
7 19
10.9%
8 19
10.9%
9 12
6.9%
0 9
5.1%
Hangul
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 175
98.9%
Hangul 2
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 20
11.4%
1 20
11.4%
4 19
10.9%
5 19
10.9%
3 19
10.9%
6 19
10.9%
7 19
10.9%
8 19
10.9%
9 12
6.9%
0 9
5.1%
Hangul
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Unnamed: 1
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T11:53:29.138741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.172043
Min length4

Characters and Unicode

Total characters388
Distinct characters71
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row회 사 명
2nd rowK.S택시
3rd row경동기업
4th row경일교통
5th row구상교통
ValueCountFrequency (%)
회 1
 
1.1%
신우운수 1
 
1.1%
알파택시 1
 
1.1%
안전택시 1
 
1.1%
아주운수 1
 
1.1%
아세아택시 1
 
1.1%
아세아운수 1
 
1.1%
신한교통 1
 
1.1%
신진택시 1
 
1.1%
신진운수 1
 
1.1%
Other values (85) 85
89.5%
2024-04-21T11:53:30.521589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 32
 
8.2%
택 31
 
8.0%
운 29
 
7.5%
통 26
 
6.7%
수 26
 
6.7%
교 25
 
6.4%
동 19
 
4.9%
대 18
 
4.6%
신 14
 
3.6%
우 12
 
3.1%
Other values (61) 156
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
98.5%
Space Separator 2
 
0.5%
Uppercase Letter 2
 
0.5%
Other Symbol 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 32
 
8.4%
택 31
 
8.1%
운 29
 
7.6%
통 26
 
6.8%
수 26
 
6.8%
교 25
 
6.5%
동 19
 
5.0%
대 18
 
4.7%
신 14
 
3.7%
우 12
 
3.1%
Other values (56) 150
39.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
98.7%
Common 3
 
0.8%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 32
 
8.4%
택 31
 
8.1%
운 29
 
7.6%
통 26
 
6.8%
수 26
 
6.8%
교 25
 
6.5%
동 19
 
5.0%
대 18
 
4.7%
신 14
 
3.7%
우 12
 
3.1%
Other values (57) 151
39.4%
Common
ValueCountFrequency (%)
2
66.7%
. 1
33.3%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
98.5%
ASCII 5
 
1.3%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 32
 
8.4%
택 31
 
8.1%
운 29
 
7.6%
통 26
 
6.8%
수 26
 
6.8%
교 25
 
6.5%
동 19
 
5.0%
대 18
 
4.7%
신 14
 
3.7%
우 12
 
3.1%
Other values (56) 150
39.3%
ASCII
ValueCountFrequency (%)
2
40.0%
S 1
20.0%
. 1
20.0%
K 1
20.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Unnamed: 2
Text

Distinct53
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T11:53:31.215747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.1397849
Min length2

Characters and Unicode

Total characters199
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)31.2%

Sample

1st row차량대수
2nd row85
3rd row165
4th row88
5th row73
ValueCountFrequency (%)
85 5
 
5.4%
60 4
 
4.3%
56 4
 
4.3%
48 4
 
4.3%
50 3
 
3.2%
72 3
 
3.2%
78 3
 
3.2%
70 3
 
3.2%
80 3
 
3.2%
71 3
 
3.2%
Other values (43) 58
62.4%
2024-04-21T11:53:32.160271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 27
13.6%
7 26
13.1%
8 23
11.6%
1 23
11.6%
6 22
11.1%
0 22
11.1%
4 18
9.0%
9 14
7.0%
2 12
6.0%
3 8
 
4.0%
Other values (4) 4
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 195
98.0%
Other Letter 4
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 27
13.8%
7 26
13.3%
8 23
11.8%
1 23
11.8%
6 22
11.3%
0 22
11.3%
4 18
9.2%
9 14
7.2%
2 12
6.2%
3 8
 
4.1%
Other Letter
ValueCountFrequency (%)
차 1
25.0%
량 1
25.0%
대 1
25.0%
수 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 195
98.0%
Hangul 4
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 27
13.8%
7 26
13.3%
8 23
11.8%
1 23
11.8%
6 22
11.3%
0 22
11.3%
4 18
9.2%
9 14
7.2%
2 12
6.2%
3 8
 
4.1%
Hangul
ValueCountFrequency (%)
차 1
25.0%
량 1
25.0%
대 1
25.0%
수 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195
98.0%
Hangul 4
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 27
13.8%
7 26
13.3%
8 23
11.8%
1 23
11.8%
6 22
11.3%
0 22
11.3%
4 18
9.2%
9 14
7.2%
2 12
6.2%
3 8
 
4.1%
Hangul
ValueCountFrequency (%)
차 1
25.0%
량 1
25.0%
대 1
25.0%
수 1
25.0%

Unnamed: 3
Text

Distinct88
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T11:53:33.132960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.8494624
Min length3

Characters and Unicode

Total characters358
Distinct characters98
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)89.2%

Sample

1st row대표자
2nd row김인남
3rd row신기석
4th row김동원
5th row김윤태
ValueCountFrequency (%)
곽영호 2
 
2.0%
이승훈 2
 
2.0%
김진수 2
 
2.0%
김명희 2
 
2.0%
고장희 2
 
2.0%
김대희 1
 
1.0%
대표자 1
 
1.0%
윤기영 1
 
1.0%
우성기우상욱 1
 
1.0%
신홍균신종균 1
 
1.0%
Other values (83) 83
84.7%
2024-04-21T11:53:34.371686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 35
 
9.8%
22
 
6.1%
이 19
 
5.3%
기 11
 
3.1%
영 10
 
2.8%
상 10
 
2.8%
호 9
 
2.5%
희 9
 
2.5%
수 8
 
2.2%
동 8
 
2.2%
Other values (88) 217
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 336
93.9%
Space Separator 22
 
6.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 35
 
10.4%
이 19
 
5.7%
기 11
 
3.3%
영 10
 
3.0%
상 10
 
3.0%
호 9
 
2.7%
희 9
 
2.7%
수 8
 
2.4%
동 8
 
2.4%
석 7
 
2.1%
Other values (87) 210
62.5%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 336
93.9%
Common 22
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 35
 
10.4%
이 19
 
5.7%
기 11
 
3.3%
영 10
 
3.0%
상 10
 
3.0%
호 9
 
2.7%
희 9
 
2.7%
수 8
 
2.4%
동 8
 
2.4%
석 7
 
2.1%
Other values (87) 210
62.5%
Common
ValueCountFrequency (%)
22
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
93.9%
ASCII 22
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 35
 
10.4%
이 19
 
5.7%
기 11
 
3.3%
영 10
 
3.0%
상 10
 
3.0%
호 9
 
2.7%
희 9
 
2.7%
수 8
 
2.4%
동 8
 
2.4%
석 7
 
2.1%
Other values (87) 210
62.5%
ASCII
ValueCountFrequency (%)
22
100.0%

Unnamed: 4
Text

Distinct89
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T11:53:35.373785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9569892
Min length4

Characters and Unicode

Total characters740
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)91.4%

Sample

1st row전화번호
2nd row761-8091
3rd row762-3333
4th row572-7800
5th row642-3300
ValueCountFrequency (%)
522-3132 2
 
2.2%
352-5551 2
 
2.2%
557-7772 2
 
2.2%
955-7788 2
 
2.2%
323-5762 1
 
1.1%
982-9108 1
 
1.1%
762-1656 1
 
1.1%
472-5202 1
 
1.1%
633-1151 1
 
1.1%
963-9844 1
 
1.1%
Other values (79) 79
84.9%
2024-04-21T11:53:36.601366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 92
12.4%
2 91
12.3%
5 83
11.2%
3 83
11.2%
6 70
9.5%
1 68
9.2%
7 61
8.2%
0 54
7.3%
9 53
7.2%
8 42
5.7%
Other values (5) 43
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 644
87.0%
Dash Punctuation 92
 
12.4%
Other Letter 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 91
14.1%
5 83
12.9%
3 83
12.9%
6 70
10.9%
1 68
10.6%
7 61
9.5%
0 54
8.4%
9 53
8.2%
8 42
6.5%
4 39
6.1%
Other Letter
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
99.5%
Hangul 4
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 92
12.5%
2 91
12.4%
5 83
11.3%
3 83
11.3%
6 70
9.5%
1 68
9.2%
7 61
8.3%
0 54
7.3%
9 53
7.2%
8 42
5.7%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 736
99.5%
Hangul 4
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 92
12.5%
2 91
12.4%
5 83
11.3%
3 83
11.3%
6 70
9.5%
1 68
9.2%
7 61
8.3%
0 54
7.3%
9 53
7.2%
8 42
5.7%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 5
Text

Distinct87
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T11:53:37.565936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9569892
Min length4

Characters and Unicode

Total characters740
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)88.2%

Sample

1st row팩스번호
2nd row761-8092
3rd row768-1090
4th row572-7811
5th row633-9996
ValueCountFrequency (%)
633-9996 3
 
3.2%
955-9988 2
 
2.2%
557-7771 2
 
2.2%
623-4496 2
 
2.2%
632-3721 2
 
2.2%
323-5763 1
 
1.1%
474-2233 1
 
1.1%
633-1522 1
 
1.1%
762-1658 1
 
1.1%
474-6330 1
 
1.1%
Other values (77) 77
82.8%
2024-04-21T11:53:38.778553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 95
12.8%
- 92
12.4%
2 88
11.9%
5 75
10.1%
6 68
9.2%
1 63
8.5%
9 62
8.4%
7 62
8.4%
8 51
6.9%
4 44
5.9%
Other values (5) 40
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 644
87.0%
Dash Punctuation 92
 
12.4%
Other Letter 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 95
14.8%
2 88
13.7%
5 75
11.6%
6 68
10.6%
1 63
9.8%
9 62
9.6%
7 62
9.6%
8 51
7.9%
4 44
6.8%
0 36
 
5.6%
Other Letter
ValueCountFrequency (%)
팩 1
25.0%
스 1
25.0%
번 1
25.0%
호 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
99.5%
Hangul 4
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
3 95
12.9%
- 92
12.5%
2 88
12.0%
5 75
10.2%
6 68
9.2%
1 63
8.6%
9 62
8.4%
7 62
8.4%
8 51
6.9%
4 44
6.0%
Hangul
ValueCountFrequency (%)
팩 1
25.0%
스 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 736
99.5%
Hangul 4
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 95
12.9%
- 92
12.5%
2 88
12.0%
5 75
10.2%
6 68
9.2%
1 63
8.6%
9 62
8.4%
7 62
8.4%
8 51
6.9%
4 44
6.0%
Hangul
ValueCountFrequency (%)
팩 1
25.0%
스 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 6
Text

Distinct83
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T11:53:39.890793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length12.913978
Min length5

Characters and Unicode

Total characters1201
Distinct characters82
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

Unique75 ?
Unique (%)80.6%

Sample

1st row신 주 소
2nd row수성구 희망로 226
3rd row수성구 청수로 92
4th row서구 와룡로 312
5th row달서구 성서4차첨단로 182
ValueCountFrequency (%)
달서구 27
 
8.2%
동구 25
 
7.6%
서구 11
 
3.3%
수성구 9
 
2.7%
남구 8
 
2.4%
국채보상로 7
 
2.1%
북구 7
 
2.1%
와룡로 7
 
2.1%
청수로 6
 
1.8%
32길 6
 
1.8%
Other values (139) 217
65.8%
2024-04-21T11:53:41.230390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
19.8%
구 98
 
8.2%
로 90
 
7.5%
1 77
 
6.4%
길 54
 
4.5%
2 50
 
4.2%
5 44
 
3.7%
서 42
 
3.5%
달 32
 
2.7%
동 31
 
2.6%
Other values (72) 445
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 621
51.7%
Decimal Number 326
27.1%
Space Separator 238
 
19.8%
Dash Punctuation 16
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 98
15.8%
로 90
14.5%
길 54
 
8.7%
서 42
 
6.8%
달 32
 
5.2%
동 31
 
5.0%
남 18
 
2.9%
성 16
 
2.6%
수 15
 
2.4%
북 11
 
1.8%
Other values (60) 214
34.5%
Decimal Number
ValueCountFrequency (%)
1 77
23.6%
2 50
15.3%
5 44
13.5%
6 31
9.5%
3 31
9.5%
8 24
 
7.4%
4 24
 
7.4%
9 16
 
4.9%
0 15
 
4.6%
7 14
 
4.3%
Space Separator
ValueCountFrequency (%)
238
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 621
51.7%
Common 580
48.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 98
15.8%
로 90
14.5%
길 54
 
8.7%
서 42
 
6.8%
달 32
 
5.2%
동 31
 
5.0%
남 18
 
2.9%
성 16
 
2.6%
수 15
 
2.4%
북 11
 
1.8%
Other values (60) 214
34.5%
Common
ValueCountFrequency (%)
238
41.0%
1 77
 
13.3%
2 50
 
8.6%
5 44
 
7.6%
6 31
 
5.3%
3 31
 
5.3%
8 24
 
4.1%
4 24
 
4.1%
9 16
 
2.8%
- 16
 
2.8%
Other values (2) 29
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 621
51.7%
ASCII 580
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
41.0%
1 77
 
13.3%
2 50
 
8.6%
5 44
 
7.6%
6 31
 
5.3%
3 31
 
5.3%
8 24
 
4.1%
4 24
 
4.1%
9 16
 
2.8%
- 16
 
2.8%
Other values (2) 29
 
5.0%
Hangul
ValueCountFrequency (%)
구 98
15.8%
로 90
14.5%
길 54
 
8.7%
서 42
 
6.8%
달 32
 
5.2%
동 31
 
5.0%
남 18
 
2.9%
성 16
 
2.6%
수 15
 
2.4%
북 11
 
1.8%
Other values (60) 214
34.5%

Unnamed: 7
Text

Distinct49
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T11:53:41.943004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.9784946
Min length4

Characters and Unicode

Total characters649
Distinct characters16
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

Unique33 ?
Unique (%)35.5%

Sample

1st row우편번호
2nd row706-040
3rd row706-800
4th row703-833
5th row704-833
ValueCountFrequency (%)
704-914 10
 
10.8%
701-856 6
 
6.5%
703-833 5
 
5.4%
704-801 5
 
5.4%
701-140 4
 
4.3%
706-800 4
 
4.3%
701-030 4
 
4.3%
703-830 4
 
4.3%
704-833 3
 
3.2%
701-816 3
 
3.2%
Other values (38) 45
48.4%
2024-04-21T11:53:42.874112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 150
23.1%
7 98
15.1%
- 92
14.2%
8 61
9.4%
1 60
 
9.2%
4 56
 
8.6%
3 52
 
8.0%
6 24
 
3.7%
5 18
 
2.8%
2 17
 
2.6%
Other values (6) 21
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 552
85.1%
Dash Punctuation 92
 
14.2%
Other Letter 4
 
0.6%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 150
27.2%
7 98
17.8%
8 61
11.1%
1 60
 
10.9%
4 56
 
10.1%
3 52
 
9.4%
6 24
 
4.3%
5 18
 
3.3%
2 17
 
3.1%
9 16
 
2.9%
Other Letter
ValueCountFrequency (%)
우 1
25.0%
편 1
25.0%
번 1
25.0%
호 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 645
99.4%
Hangul 4
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 150
23.3%
7 98
15.2%
- 92
14.3%
8 61
9.5%
1 60
 
9.3%
4 56
 
8.7%
3 52
 
8.1%
6 24
 
3.7%
5 18
 
2.8%
2 17
 
2.6%
Other values (2) 17
 
2.6%
Hangul
ValueCountFrequency (%)
우 1
25.0%
편 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 645
99.4%
Hangul 4
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 150
23.3%
7 98
15.2%
- 92
14.3%
8 61
9.5%
1 60
 
9.3%
4 56
 
8.7%
3 52
 
8.1%
6 24
 
3.7%
5 18
 
2.8%
2 17
 
2.6%
Other values (2) 17
 
2.6%
Hangul
ValueCountFrequency (%)
우 1
25.0%
편 1
25.0%
번 1
25.0%
호 1
25.0%

Correlations

2024-04-21T11:53:43.048331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체 일람표Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7
업체 일람표1.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 11.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 21.0001.0001.0000.9860.9920.9830.9830.362
Unnamed: 31.0001.0000.9861.0000.9990.9960.9980.968
Unnamed: 41.0001.0000.9920.9991.0000.9991.0000.998
Unnamed: 51.0001.0000.9830.9960.9991.0001.0000.999
Unnamed: 61.0001.0000.9830.9981.0001.0001.0000.996
Unnamed: 71.0001.0000.3620.9680.9980.9990.9961.000

Missing values

2024-04-21T11:53:25.634144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:53:25.854025image/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

업체 일람표Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7
0연번회 사 명차량대수대표자전화번호팩스번호신 주 소우편번호
11K.S택시85김인남761-8091761-8092수성구 희망로 226706-040
22경동기업165신기석762-3333768-1090수성구 청수로 92706-800
33경일교통88김동원572-7800572-7811서구 와룡로 312703-833
44구상교통73김윤태642-3300633-9996달서구 성서4차첨단로 182704-833
55구상운수90김현태634-5111633-9996달서구 성서4차첨단로 182704-833
66구상택시80김석구김윤태633-9911633-9996달서구 성서4차첨단로 182704-833
77구평기업45하기철313-2016313-2019북구 동암로 7길 51-6702-847
88그린택시71이승훈643-0684638-9185달성군 진천로 3길 146711-835
99극동자동차75김상태김동원652-1311621-7802남구 현충로 117705-808
업체 일람표Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7
8383천우택시90권혁만권병수633-3881638-1423달서구 월배로 5길 13704-390
8484천일교통81사공근754-2117752-2140동구 동부로 194701-030
8585청구교통143이기영581-1125581-1129달서구 성서공단북로 65길 5704-900
8686통운기업80남승희984-4595981-7328동구 안심로 90길 31701-320
8787하나교통63고장희557-7772557-7771달서구 구마로 67704-914
8888하나운수53고장희557-7772557-7771달서구 구마로 67704-914
8989하나자동차52김명희522-3132941-8302달서구 구마로 21길 33704-914
9090하나택시50김명희522-3132568-3132달서구 구마로 21길 33704-914
9191합동택시59서보출353-7025353-7027북구 원대로 101702-801
9292화진산업40서기석 이현진963-1050963-2881동구 안심로 65길 13701-856