Overview

Dataset statistics

Number of variables10
Number of observations1903
Missing cells1860
Missing cells (%)9.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory148.8 KiB
Average record size in memory80.1 B

Variable types

Text6
Categorical4

Dataset

Description서울특별시 소재 화물자동차 주선업체 목록으로 면허번호, 업종명, 사업자구분, 업체명, 주사무소 우편번호, 주사무소 주소, 주 사무소 상세주소, 팩스번호, 관할관청, 면허상태를 제공합니다.
Author서울특별시
URLhttps://www.data.go.kr/data/15080978/fileData.do

Alerts

업종명 has constant value ""Constant
면허상태 has constant value ""Constant
팩스번호 has 1857 (97.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:19:10.851288
Analysis finished2023-12-12 08:19:11.981195
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

면허번호
Text

Distinct1902
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-12T17:19:12.317202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length5.7551235
Min length1

Characters and Unicode

Total characters10952
Distinct characters18
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

Unique1901 ?
Unique (%)99.9%

Sample

1st row170194
2nd row70164
3rd row240352
4th row180220
5th row220908
ValueCountFrequency (%)
160272 2
 
0.1%
80067 1
 
0.1%
5109 1
 
0.1%
160211 1
 
0.1%
5108 1
 
0.1%
190247 1
 
0.1%
21050 1
 
0.1%
제2008-2호 1
 
0.1%
2008-1 1
 
0.1%
150584 1
 
0.1%
Other values (1892) 1892
99.4%
2023-12-12T17:19:12.864897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2892
26.4%
1 2033
18.6%
2 1553
14.2%
5 863
 
7.9%
3 743
 
6.8%
4 709
 
6.5%
6 563
 
5.1%
7 538
 
4.9%
8 537
 
4.9%
9 502
 
4.6%
Other values (8) 19
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10933
99.8%
Dash Punctuation 10
 
0.1%
Other Letter 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2892
26.5%
1 2033
18.6%
2 1553
14.2%
5 863
 
7.9%
3 743
 
6.8%
4 709
 
6.5%
6 563
 
5.1%
7 538
 
4.9%
8 537
 
4.9%
9 502
 
4.6%
Other Letter
ValueCountFrequency (%)
도 2
22.2%
봉 2
22.2%
동 1
11.1%
인 1
11.1%
천 1
11.1%
제 1
11.1%
호 1
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10943
99.9%
Hangul 9
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2892
26.4%
1 2033
18.6%
2 1553
14.2%
5 863
 
7.9%
3 743
 
6.8%
4 709
 
6.5%
6 563
 
5.1%
7 538
 
4.9%
8 537
 
4.9%
9 502
 
4.6%
Hangul
ValueCountFrequency (%)
도 2
22.2%
봉 2
22.2%
동 1
11.1%
인 1
11.1%
천 1
11.1%
제 1
11.1%
호 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10943
99.9%
Hangul 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2892
26.4%
1 2033
18.6%
2 1553
14.2%
5 863
 
7.9%
3 743
 
6.8%
4 709
 
6.5%
6 563
 
5.1%
7 538
 
4.9%
8 537
 
4.9%
9 502
 
4.6%
Hangul
ValueCountFrequency (%)
도 2
22.2%
봉 2
22.2%
동 1
11.1%
인 1
11.1%
천 1
11.1%
제 1
11.1%
호 1
11.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
화물주선업
1903 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화물주선업
2nd row화물주선업
3rd row화물주선업
4th row화물주선업
5th row화물주선업

Common Values

ValueCountFrequency (%)
화물주선업 1903
100.0%

Length

2023-12-12T17:19:13.074610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:19:13.187063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화물주선업 1903
100.0%

사업자구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
개인
1119 
법인
784 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row법인
3rd row개인
4th row법인
5th row법인

Common Values

ValueCountFrequency (%)
개인 1119
58.8%
법인 784
41.2%

Length

2023-12-12T17:19:13.312973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:19:13.423283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 1119
58.8%
법인 784
41.2%

업체명
Text

Distinct1777
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-12T17:19:13.688375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length7.0599054
Min length2

Characters and Unicode

Total characters13435
Distinct characters521
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1692 ?
Unique (%)88.9%

Sample

1st row전국마린화물&이사
2nd row주식회사 카인드맨
3rd row예건물류
4th row(주)손매니지먼트서비스
5th row(주)상생
ValueCountFrequency (%)
주식회사 48
 
2.4%
통인익스프레스 10
 
0.5%
하나익스프레스 7
 
0.4%
현대익스프레스 6
 
0.3%
전국화물 6
 
0.3%
로젠이사 6
 
0.3%
이사 5
 
0.3%
대신익스프레스 5
 
0.3%
삼성익스프레스 5
 
0.3%
대진익스프레스 4
 
0.2%
Other values (1794) 1896
94.9%
2023-12-12T17:19:14.181503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1271
 
9.5%
주 746
 
5.6%
) 679
 
5.1%
( 673
 
5.0%
물 417
 
3.1%
이 386
 
2.9%
프 384
 
2.9%
레 382
 
2.8%
익 366
 
2.7%
사 271
 
2.0%
Other values (511) 7860
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11650
86.7%
Close Punctuation 679
 
5.1%
Open Punctuation 673
 
5.0%
Decimal Number 149
 
1.1%
Uppercase Letter 115
 
0.9%
Space Separator 95
 
0.7%
Other Punctuation 34
 
0.3%
Lowercase Letter 26
 
0.2%
Dash Punctuation 9
 
0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1271
 
10.9%
주 746
 
6.4%
물 417
 
3.6%
이 386
 
3.3%
프 384
 
3.3%
레 382
 
3.3%
익 366
 
3.1%
사 271
 
2.3%
류 255
 
2.2%
지 250
 
2.1%
Other values (461) 6922
59.4%
Uppercase Letter
ValueCountFrequency (%)
K 22
19.1%
S 19
16.5%
G 14
12.2%
B 10
8.7%
O 8
 
7.0%
C 5
 
4.3%
E 5
 
4.3%
A 4
 
3.5%
J 4
 
3.5%
L 4
 
3.5%
Other values (9) 20
17.4%
Lowercase Letter
ValueCountFrequency (%)
e 10
38.5%
a 3
 
11.5%
m 2
 
7.7%
r 2
 
7.7%
t 2
 
7.7%
n 1
 
3.8%
c 1
 
3.8%
f 1
 
3.8%
d 1
 
3.8%
y 1
 
3.8%
Other values (2) 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 49
32.9%
4 38
25.5%
1 13
 
8.7%
0 11
 
7.4%
8 9
 
6.0%
9 8
 
5.4%
5 7
 
4.7%
3 6
 
4.0%
6 6
 
4.0%
7 2
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 12
35.3%
& 10
29.4%
, 10
29.4%
/ 2
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 679
100.0%
Open Punctuation
ValueCountFrequency (%)
( 673
100.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11655
86.8%
Common 1639
 
12.2%
Latin 141
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1271
 
10.9%
주 746
 
6.4%
물 417
 
3.6%
이 386
 
3.3%
프 384
 
3.3%
레 382
 
3.3%
익 366
 
3.1%
사 271
 
2.3%
류 255
 
2.2%
지 250
 
2.1%
Other values (462) 6927
59.4%
Latin
ValueCountFrequency (%)
K 22
15.6%
S 19
13.5%
G 14
 
9.9%
e 10
 
7.1%
B 10
 
7.1%
O 8
 
5.7%
C 5
 
3.5%
E 5
 
3.5%
A 4
 
2.8%
J 4
 
2.8%
Other values (21) 40
28.4%
Common
ValueCountFrequency (%)
) 679
41.4%
( 673
41.1%
95
 
5.8%
2 49
 
3.0%
4 38
 
2.3%
1 13
 
0.8%
. 12
 
0.7%
0 11
 
0.7%
& 10
 
0.6%
, 10
 
0.6%
Other values (8) 49
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11650
86.7%
ASCII 1780
 
13.2%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1271
 
10.9%
주 746
 
6.4%
물 417
 
3.6%
이 386
 
3.3%
프 384
 
3.3%
레 382
 
3.3%
익 366
 
3.1%
사 271
 
2.3%
류 255
 
2.2%
지 250
 
2.1%
Other values (461) 6922
59.4%
ASCII
ValueCountFrequency (%)
) 679
38.1%
( 673
37.8%
95
 
5.3%
2 49
 
2.8%
4 38
 
2.1%
K 22
 
1.2%
S 19
 
1.1%
G 14
 
0.8%
1 13
 
0.7%
. 12
 
0.7%
Other values (39) 166
 
9.3%
None
ValueCountFrequency (%)
㈜ 5
100.0%

주사무소 우편번호
Text

Distinct1182
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-12T17:19:14.576391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0651603
Min length5

Characters and Unicode

Total characters9639
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

Unique874 ?
Unique (%)45.9%

Sample

1st row08216
2nd row02034
3rd row07562
4th row08506
5th row06752
ValueCountFrequency (%)
08055 159
 
8.4%
08110 39
 
2.0%
158-070 16
 
0.8%
06772 14
 
0.7%
08639 12
 
0.6%
06804 9
 
0.5%
08389 9
 
0.5%
05836 9
 
0.5%
06770 8
 
0.4%
04157 7
 
0.4%
Other values (1172) 1621
85.2%
2023-12-12T17:19:15.149712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2652
27.5%
5 1141
11.8%
7 940
 
9.8%
8 895
 
9.3%
1 784
 
8.1%
6 763
 
7.9%
3 724
 
7.5%
2 698
 
7.2%
4 578
 
6.0%
9 402
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9577
99.4%
Dash Punctuation 62
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2652
27.7%
5 1141
11.9%
7 940
 
9.8%
8 895
 
9.3%
1 784
 
8.2%
6 763
 
8.0%
3 724
 
7.6%
2 698
 
7.3%
4 578
 
6.0%
9 402
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9639
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2652
27.5%
5 1141
11.8%
7 940
 
9.8%
8 895
 
9.3%
1 784
 
8.1%
6 763
 
7.9%
3 724
 
7.5%
2 698
 
7.2%
4 578
 
6.0%
9 402
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9639
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2652
27.5%
5 1141
11.8%
7 940
 
9.8%
8 895
 
9.3%
1 784
 
8.1%
6 763
 
7.9%
3 724
 
7.5%
2 698
 
7.2%
4 578
 
6.0%
9 402
 
4.2%

주사무소 주소
Text

Distinct1428
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-12T17:19:15.626866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length18.027325
Min length11

Characters and Unicode

Total characters34306
Distinct characters274
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1279 ?
Unique (%)67.2%

Sample

1st row서울특별시 구로구 구로중앙로 207
2nd row서울특별시 중랑구 공릉로2길 7
3rd row서울특별시 강서구 공항대로 535
4th row서울특별시 금천구 가산디지털2로 108
5th row서울특별시 서초구 바우뫼로27길 7-7
ValueCountFrequency (%)
서울특별시 1864
25.2%
양천구 284
 
3.8%
167 192
 
2.6%
신정로 188
 
2.5%
서초구 150
 
2.0%
영등포구 135
 
1.8%
강서구 134
 
1.8%
송파구 125
 
1.7%
강남구 112
 
1.5%
금천구 102
 
1.4%
Other values (1624) 4102
55.5%
2023-12-12T17:19:16.357943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5486
16.0%
서 2238
 
6.5%
구 2000
 
5.8%
시 1941
 
5.7%
울 1872
 
5.5%
별 1864
 
5.4%
특 1864
 
5.4%
로 1735
 
5.1%
1 1316
 
3.8%
길 865
 
2.5%
Other values (264) 13125
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22916
66.8%
Decimal Number 5700
 
16.6%
Space Separator 5486
 
16.0%
Dash Punctuation 192
 
0.6%
Other Punctuation 10
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2238
 
9.8%
구 2000
 
8.7%
시 1941
 
8.5%
울 1872
 
8.2%
별 1864
 
8.1%
특 1864
 
8.1%
로 1735
 
7.6%
길 865
 
3.8%
동 543
 
2.4%
천 500
 
2.2%
Other values (249) 7494
32.7%
Decimal Number
ValueCountFrequency (%)
1 1316
23.1%
2 704
12.4%
6 651
11.4%
3 621
10.9%
7 605
10.6%
5 462
 
8.1%
4 448
 
7.9%
8 311
 
5.5%
0 304
 
5.3%
9 278
 
4.9%
Space Separator
ValueCountFrequency (%)
5486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22916
66.8%
Common 11390
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2238
 
9.8%
구 2000
 
8.7%
시 1941
 
8.5%
울 1872
 
8.2%
별 1864
 
8.1%
특 1864
 
8.1%
로 1735
 
7.6%
길 865
 
3.8%
동 543
 
2.4%
천 500
 
2.2%
Other values (249) 7494
32.7%
Common
ValueCountFrequency (%)
5486
48.2%
1 1316
 
11.6%
2 704
 
6.2%
6 651
 
5.7%
3 621
 
5.5%
7 605
 
5.3%
5 462
 
4.1%
4 448
 
3.9%
8 311
 
2.7%
0 304
 
2.7%
Other values (5) 482
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22916
66.8%
ASCII 11390
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5486
48.2%
1 1316
 
11.6%
2 704
 
6.2%
6 651
 
5.7%
3 621
 
5.5%
7 605
 
5.3%
5 462
 
4.1%
4 448
 
3.9%
8 311
 
2.7%
0 304
 
2.7%
Other values (5) 482
 
4.2%
Hangul
ValueCountFrequency (%)
서 2238
 
9.8%
구 2000
 
8.7%
시 1941
 
8.5%
울 1872
 
8.2%
별 1864
 
8.1%
특 1864
 
8.1%
로 1735
 
7.6%
길 865
 
3.8%
동 543
 
2.4%
천 500
 
2.2%
Other values (249) 7494
32.7%

주사무소 상세주소
Text

Distinct1694
Distinct (%)89.2%
Missing3
Missing (%)0.2%
Memory size15.0 KiB
2023-12-12T17:19:16.812154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length31
Mean length13.340526
Min length1

Characters and Unicode

Total characters25347
Distinct characters409
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1573 ?
Unique (%)82.8%

Sample

1st row529호(구로동, 구로동복합건물 오퍼스1)
2nd row5층 2호 (묵동)
3rd row10층1호(염창동,소은빌딩) (염창동)
4th row312호 (가산동)
5th row201호 (양재동)
ValueCountFrequency (%)
1층 250
 
5.6%
서부트럭터미널 156
 
3.5%
신정동 146
 
3.3%
2층 135
 
3.0%
3층 87
 
2.0%
2동 64
 
1.4%
1동 64
 
1.4%
101호 44
 
1.0%
지층 43
 
1.0%
3동 41
 
0.9%
Other values (1712) 3409
76.8%
2023-12-12T17:19:17.444838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2699
 
10.6%
동 1997
 
7.9%
( 1691
 
6.7%
) 1691
 
6.7%
1 1638
 
6.5%
호 1066
 
4.2%
2 958
 
3.8%
층 819
 
3.2%
0 807
 
3.2%
, 682
 
2.7%
Other values (399) 11299
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12656
49.9%
Decimal Number 5506
21.7%
Space Separator 2699
 
10.6%
Open Punctuation 1692
 
6.7%
Close Punctuation 1692
 
6.7%
Other Punctuation 695
 
2.7%
Dash Punctuation 256
 
1.0%
Uppercase Letter 128
 
0.5%
Lowercase Letter 14
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1997
 
15.8%
호 1066
 
8.4%
층 819
 
6.5%
신 368
 
2.9%
가 302
 
2.4%
트 293
 
2.3%
서 278
 
2.2%
정 263
 
2.1%
미 216
 
1.7%
빌 212
 
1.7%
Other values (349) 6842
54.1%
Uppercase Letter
ValueCountFrequency (%)
B 35
27.3%
A 28
21.9%
C 21
16.4%
T 6
 
4.7%
S 6
 
4.7%
K 5
 
3.9%
W 4
 
3.1%
E 4
 
3.1%
X 3
 
2.3%
L 3
 
2.3%
Other values (9) 13
 
10.2%
Decimal Number
ValueCountFrequency (%)
1 1638
29.7%
2 958
17.4%
0 807
14.7%
3 623
 
11.3%
4 355
 
6.4%
5 301
 
5.5%
6 242
 
4.4%
7 231
 
4.2%
8 183
 
3.3%
9 168
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
a 3
21.4%
n 2
14.3%
t 1
 
7.1%
r 1
 
7.1%
b 1
 
7.1%
l 1
 
7.1%
z 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 682
98.1%
. 9
 
1.3%
， 2
 
0.3%
: 1
 
0.1%
/ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1691
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1691
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2699
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12655
49.9%
Common 12548
49.5%
Latin 143
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1997
 
15.8%
호 1066
 
8.4%
층 819
 
6.5%
신 368
 
2.9%
가 302
 
2.4%
트 293
 
2.3%
서 278
 
2.2%
정 263
 
2.1%
미 216
 
1.7%
빌 212
 
1.7%
Other values (348) 6841
54.1%
Latin
ValueCountFrequency (%)
B 35
24.5%
A 28
19.6%
C 21
14.7%
T 6
 
4.2%
S 6
 
4.2%
K 5
 
3.5%
W 4
 
2.8%
E 4
 
2.8%
e 4
 
2.8%
X 3
 
2.1%
Other values (18) 27
18.9%
Common
ValueCountFrequency (%)
2699
21.5%
( 1691
13.5%
) 1691
13.5%
1 1638
13.1%
2 958
 
7.6%
0 807
 
6.4%
, 682
 
5.4%
3 623
 
5.0%
4 355
 
2.8%
5 301
 
2.4%
Other values (12) 1103
8.8%
Han
ValueCountFrequency (%)
新 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12688
50.1%
Hangul 12655
49.9%
None 2
 
< 0.1%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2699
21.3%
( 1691
13.3%
) 1691
13.3%
1 1638
12.9%
2 958
 
7.6%
0 807
 
6.4%
, 682
 
5.4%
3 623
 
4.9%
4 355
 
2.8%
5 301
 
2.4%
Other values (38) 1243
9.8%
Hangul
ValueCountFrequency (%)
동 1997
 
15.8%
호 1066
 
8.4%
층 819
 
6.5%
신 368
 
2.9%
가 302
 
2.4%
트 293
 
2.3%
서 278
 
2.2%
정 263
 
2.1%
미 216
 
1.7%
빌 212
 
1.7%
Other values (348) 6841
54.1%
None
ValueCountFrequency (%)
， 2
100.0%
CJK
ValueCountFrequency (%)
新 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

팩스번호
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing1857
Missing (%)97.6%
Memory size15.0 KiB
2023-12-12T17:19:17.793073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.717391
Min length11

Characters and Unicode

Total characters539
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

Unique46 ?
Unique (%)100.0%

Sample

1st row070-8280-3114
2nd row02-521-9430
3rd row02-6008-6031
4th row02-8585-8585
5th row02-2691-2481
ValueCountFrequency (%)
02-402-6776 1
 
2.2%
02-6923-0099 1
 
2.2%
070-8250-4400 1
 
2.2%
02-2621-2226 1
 
2.2%
02-758-6799 1
 
2.2%
02-2661-5750 1
 
2.2%
02-838-2161 1
 
2.2%
050-5139-1234 1
 
2.2%
02-3669-7733 1
 
2.2%
070-4806-4624 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T17:19:18.214554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 92
17.1%
2 89
16.5%
0 87
16.1%
8 41
7.6%
4 39
7.2%
3 37
6.9%
6 34
 
6.3%
5 34
 
6.3%
1 32
 
5.9%
7 31
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 447
82.9%
Dash Punctuation 92
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 89
19.9%
0 87
19.5%
8 41
9.2%
4 39
8.7%
3 37
8.3%
6 34
 
7.6%
5 34
 
7.6%
1 32
 
7.2%
7 31
 
6.9%
9 23
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 539
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 92
17.1%
2 89
16.5%
0 87
16.1%
8 41
7.6%
4 39
7.2%
3 37
6.9%
6 34
 
6.3%
5 34
 
6.3%
1 32
 
5.9%
7 31
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 92
17.1%
2 89
16.5%
0 87
16.1%
8 41
7.6%
4 39
7.2%
3 37
6.9%
6 34
 
6.3%
5 34
 
6.3%
1 32
 
5.9%
7 31
 
5.8%

관할관청
Categorical

Distinct26
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
양천구
284 
서초구
150 
영등포구
136 
강서구
134 
송파구
125 
Other values (21)
1074 

Length

Max length4
Median length3
Mean length3.0677877
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구로구
2nd row중랑구
3rd row강서구
4th row금천구
5th row서초구

Common Values

ValueCountFrequency (%)
양천구 284
14.9%
서초구 150
 
7.9%
영등포구 136
 
7.1%
강서구 134
 
7.0%
송파구 125
 
6.6%
강남구 112
 
5.9%
금천구 102
 
5.4%
구로구 82
 
4.3%
중랑구 81
 
4.3%
마포구 70
 
3.7%
Other values (16) 627
32.9%

Length

2023-12-12T17:19:18.455089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양천구 284
14.9%
서초구 150
 
7.9%
영등포구 136
 
7.1%
강서구 134
 
7.0%
송파구 125
 
6.6%
강남구 112
 
5.9%
금천구 102
 
5.4%
구로구 82
 
4.3%
중랑구 81
 
4.3%
마포구 70
 
3.7%
Other values (16) 627
32.9%

면허상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
정상
1903 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상
2nd row정상
3rd row정상
4th row정상
5th row정상

Common Values

ValueCountFrequency (%)
정상 1903
100.0%

Length

2023-12-12T17:19:18.615148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:19:18.736480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 1903
100.0%

Correlations

2023-12-12T17:19:18.826371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자구분팩스번호관할관청
사업자구분1.0001.0000.401
팩스번호1.0001.0001.000
관할관청0.4011.0001.000
2023-12-12T17:19:18.921047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할관청사업자구분
관할관청1.0000.316
사업자구분0.3161.000
2023-12-12T17:19:19.012090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자구분관할관청
사업자구분1.0000.316
관할관청0.3161.000

Missing values

2023-12-12T17:19:11.654723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:19:11.824867image/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.
2023-12-12T17:19:11.926939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

면허번호업종명사업자구분업체명주사무소 우편번호주사무소 주소주사무소 상세주소팩스번호관할관청면허상태
0170194화물주선업개인전국마린화물&이사08216서울특별시 구로구 구로중앙로 207529호(구로동, 구로동복합건물 오퍼스1)<NA>구로구정상
170164화물주선업법인주식회사 카인드맨02034서울특별시 중랑구 공릉로2길 75층 2호 (묵동)<NA>중랑구정상
2240352화물주선업개인예건물류07562서울특별시 강서구 공항대로 53510층1호(염창동,소은빌딩) (염창동)<NA>강서구정상
3180220화물주선업법인(주)손매니지먼트서비스08506서울특별시 금천구 가산디지털2로 108312호 (가산동)<NA>금천구정상
4220908화물주선업법인(주)상생06752서울특별시 서초구 바우뫼로27길 7-7201호 (양재동)<NA>서초구정상
5170191화물주선업법인신아운수(주)08389서울특별시 구로구 디지털로30길 281011호 (구로동, 마리오타워)<NA>구로구정상
6170192화물주선업법인신흥통운(주)08389서울특별시 구로구 디지털로30길 281011호 (구로동, 마리오타워)<NA>구로구정상
7240350화물주선업개인강동퀵특송05403서울특별시 강동구 양재대로91길 721층 (성내동)<NA>강동구정상
8120110화물주선업개인태양물류03386서울특별시 은평구 통일로73길 22-12층 (대조동)<NA>은평구정상
9170190화물주선업법인(주)엠제이넷08382서울특별시 구로구 디지털로 243610호 (구로동, 지 하이시티)<NA>구로구정상
면허번호업종명사업자구분업체명주사무소 우편번호주사무소 주소주사무소 상세주소팩스번호관할관청면허상태
1893240336화물주선업개인엠제이로지스05733서울특별시 송파구 마천로 2413층 3호 (마천동)<NA>송파구정상
1894240344화물주선업개인전국국가대표물류05737서울특별시 송파구 마천로 2302층 201호 (마천동)<NA>송파구정상
1895230467화물주선업법인보고글로벌(주)06227서울특별시 강남구 역삼로 2222층 (역삼동)<NA>강남구정상
1896230459화물주선업개인가나로지스06339서울특별시 강남구 개포로140길 12402호 (일원동)<NA>강남구정상
1897230460화물주선업법인(주)아세아특수운송06168서울특별시 강남구 삼성로 508804호 (삼성동)<NA>강남구정상
1898250236화물주선업법인주식회사 마루흥업05353서울특별시 강동구 천중로42길 70513호 (길동, 길동청광플러스원큐브1차)<NA>강동구정상
189940155화물주선업법인(주)태림로지스04793서울특별시 성동구 아차산로7길 15-13층 3103호 (성수동2가)<NA>성동구정상
1900170187화물주선업법인(주)다가08320서울특별시 구로구 도림로3길 243층 301호 (구로동, 구로아트빌라)<NA>구로구정상
1901140168화물주선업법인주식회사 밸류링크유04165서울특별시 마포구 마포대로 191005호 (마포동)<NA>마포구정상
1902110196화물주선업개인삼성이사명가01851서울특별시 노원구 섬밭로 152상가동 110호 (공릉동)<NA>노원구정상