Overview

Dataset statistics

Number of variables10
Number of observations129
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory83.0 B

Variable types

Numeric2
Text5
Categorical2
DateTime1

Dataset

Description영등포구 실내건축공사업체(인테리어업체) 현황입니다.
Author서울특별시 영등포구
URLhttps://www.data.go.kr/data/15101063/fileData.do

Alerts

업종 has constant value ""Constant
지역 has constant value ""Constant
번호 has unique valuesUnique
업체명 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:49:52.422240
Analysis finished2023-12-12 14:49:54.016385
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65
Minimum1
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T23:49:54.126647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q133
median65
Q397
95-th percentile122.6
Maximum129
Range128
Interquartile range (IQR)64

Descriptive statistics

Standard deviation37.383151
Coefficient of variation (CV)0.5751254
Kurtosis-1.2
Mean65
Median Absolute Deviation (MAD)32
Skewness0
Sum8385
Variance1397.5
MonotonicityStrictly increasing
2023-12-12T23:49:54.338217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
98 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (119) 119
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%

업체명
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T23:49:54.663806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.7209302
Min length5

Characters and Unicode

Total characters1125
Distinct characters202
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

Unique129 ?
Unique (%)100.0%

Sample

1st row(주)가우디디자인건축
2nd row(주)건배산업
3rd row(주)건축미공
4th row(주)경동하우징
5th row(주)경인인더스트리
ValueCountFrequency (%)
주)가우디디자인건축 1
 
0.8%
주)옥토끼이미징 1
 
0.8%
주)한화육삼시티 1
 
0.8%
주)한림플러스 1
 
0.8%
주)한다스엔지니어링 1
 
0.8%
주)하우스랩(hauslab 1
 
0.8%
주)푸른가람 1
 
0.8%
주)퍼플피플 1
 
0.8%
주)토인인테리어 1
 
0.8%
주)태린 1
 
0.8%
Other values (119) 119
92.2%
2023-12-12T23:49:55.139703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 130
 
11.6%
( 127
 
11.3%
) 127
 
11.3%
이 46
 
4.1%
디 44
 
3.9%
인 40
 
3.6%
스 37
 
3.3%
아 26
 
2.3%
자 25
 
2.2%
건 23
 
2.0%
Other values (192) 500
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 853
75.8%
Open Punctuation 127
 
11.3%
Close Punctuation 127
 
11.3%
Uppercase Letter 10
 
0.9%
Lowercase Letter 7
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 130
 
15.2%
이 46
 
5.4%
디 44
 
5.2%
인 40
 
4.7%
스 37
 
4.3%
아 26
 
3.0%
자 25
 
2.9%
건 23
 
2.7%
에 20
 
2.3%
설 13
 
1.5%
Other values (176) 449
52.6%
Uppercase Letter
ValueCountFrequency (%)
L 2
20.0%
D 2
20.0%
I 2
20.0%
H 1
10.0%
A 1
10.0%
G 1
10.0%
B 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
28.6%
s 1
14.3%
b 1
14.3%
u 1
14.3%
c 1
14.3%
n 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 853
75.8%
Common 255
 
22.7%
Latin 17
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 130
 
15.2%
이 46
 
5.4%
디 44
 
5.2%
인 40
 
4.7%
스 37
 
4.3%
아 26
 
3.0%
자 25
 
2.9%
건 23
 
2.7%
에 20
 
2.3%
설 13
 
1.5%
Other values (176) 449
52.6%
Latin
ValueCountFrequency (%)
L 2
11.8%
a 2
11.8%
D 2
11.8%
I 2
11.8%
s 1
 
5.9%
b 1
 
5.9%
H 1
 
5.9%
u 1
 
5.9%
A 1
 
5.9%
G 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
( 127
49.8%
) 127
49.8%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 853
75.8%
ASCII 272
 
24.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 130
 
15.2%
이 46
 
5.4%
디 44
 
5.2%
인 40
 
4.7%
스 37
 
4.3%
아 26
 
3.0%
자 25
 
2.9%
건 23
 
2.7%
에 20
 
2.3%
설 13
 
1.5%
Other values (176) 449
52.6%
ASCII
ValueCountFrequency (%)
( 127
46.7%
) 127
46.7%
L 2
 
0.7%
a 2
 
0.7%
D 2
 
0.7%
I 2
 
0.7%
s 1
 
0.4%
b 1
 
0.4%
H 1
 
0.4%
u 1
 
0.4%
Other values (6) 6
 
2.2%

대표자
Text

Distinct127
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T23:49:55.508384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.2170543
Min length2

Characters and Unicode

Total characters415
Distinct characters118
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

Unique125 ?
Unique (%)96.9%

Sample

1st row박은주
2nd row전은우
3rd row조상익
4th row송득종
5th row김종일
ValueCountFrequency (%)
장재호 2
 
1.6%
김남식 2
 
1.6%
조수영 1
 
0.8%
곽병희 1
 
0.8%
강명현 1
 
0.8%
이성호 1
 
0.8%
신병왕 1
 
0.8%
박영주 1
 
0.8%
박민재 1
 
0.8%
김경수 1
 
0.8%
Other values (117) 117
90.7%
2023-12-12T23:49:55.945246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 28
 
6.7%
박 20
 
4.8%
이 14
 
3.4%
정 14
 
3.4%
영 13
 
3.1%
윤 12
 
2.9%
수 11
 
2.7%
호 10
 
2.4%
조 9
 
2.2%
진 9
 
2.2%
Other values (108) 275
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 407
98.1%
Other Punctuation 8
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 28
 
6.9%
박 20
 
4.9%
이 14
 
3.4%
정 14
 
3.4%
영 13
 
3.2%
윤 12
 
2.9%
수 11
 
2.7%
호 10
 
2.5%
조 9
 
2.2%
진 9
 
2.2%
Other values (107) 267
65.6%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 407
98.1%
Common 8
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 28
 
6.9%
박 20
 
4.9%
이 14
 
3.4%
정 14
 
3.4%
영 13
 
3.2%
윤 12
 
2.9%
수 11
 
2.7%
호 10
 
2.5%
조 9
 
2.2%
진 9
 
2.2%
Other values (107) 267
65.6%
Common
ValueCountFrequency (%)
, 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 407
98.1%
ASCII 8
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 28
 
6.9%
박 20
 
4.9%
이 14
 
3.4%
정 14
 
3.4%
영 13
 
3.2%
윤 12
 
2.9%
수 11
 
2.7%
호 10
 
2.5%
조 9
 
2.2%
진 9
 
2.2%
Other values (107) 267
65.6%
ASCII
ValueCountFrequency (%)
, 8
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
실내건축공사업
129 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실내건축공사업 129
100.0%

Length

2023-12-12T23:49:56.092541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:49:56.178900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 129
100.0%

등록번호
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T23:49:56.406027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.922481
Min length10

Characters and Unicode

Total characters1409
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)100.0%

Sample

1st row영등포20­01­03
2nd row영등포10­01­05
3rd row영등포18­01­02
4th row영등포22­나­02
5th row영등포13­01­11
ValueCountFrequency (%)
영등포20­01­03 1
 
0.8%
96­서울­01­100 1
 
0.8%
영등포06­01­06 1
 
0.8%
96­서울01­43 1
 
0.8%
영등포21­01­01 1
 
0.8%
영등포21­01­03 1
 
0.8%
서울중구06­01­03 1
 
0.8%
영등포22­나­11 1
 
0.8%
영등포06­01­09 1
 
0.8%
광주서01­01­01 1
 
0.8%
Other values (120) 120
92.3%
2023-12-12T23:49:56.861616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
­ 282
20.0%
0 275
19.5%
1 239
17.0%
포 88
 
6.2%
영 81
 
5.7%
등 81
 
5.7%
2 65
 
4.6%
9 37
 
2.6%
6 34
 
2.4%
4 29
 
2.1%
Other values (36) 198
14.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 765
54.3%
Other Letter 361
25.6%
Format 282
 
20.0%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 88
24.4%
영 81
22.4%
등 81
22.4%
서 17
 
4.7%
나 11
 
3.0%
울 7
 
1.9%
마 7
 
1.9%
강 7
 
1.9%
광 5
 
1.4%
천 5
 
1.4%
Other values (24) 52
14.4%
Decimal Number
ValueCountFrequency (%)
0 275
35.9%
1 239
31.2%
2 65
 
8.5%
9 37
 
4.8%
6 34
 
4.4%
4 29
 
3.8%
3 28
 
3.7%
5 20
 
2.6%
8 19
 
2.5%
7 19
 
2.5%
Format
ValueCountFrequency (%)
­ 282
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1048
74.4%
Hangul 361
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 88
24.4%
영 81
22.4%
등 81
22.4%
서 17
 
4.7%
나 11
 
3.0%
울 7
 
1.9%
마 7
 
1.9%
강 7
 
1.9%
광 5
 
1.4%
천 5
 
1.4%
Other values (24) 52
14.4%
Common
ValueCountFrequency (%)
­ 282
26.9%
0 275
26.2%
1 239
22.8%
2 65
 
6.2%
9 37
 
3.5%
6 34
 
3.2%
4 29
 
2.8%
3 28
 
2.7%
5 20
 
1.9%
8 19
 
1.8%
Other values (2) 20
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 766
54.4%
Hangul 361
25.6%
None 282
 
20.0%

Most frequent character per block

None
ValueCountFrequency (%)
­ 282
100.0%
ASCII
ValueCountFrequency (%)
0 275
35.9%
1 239
31.2%
2 65
 
8.5%
9 37
 
4.8%
6 34
 
4.4%
4 29
 
3.8%
3 28
 
3.7%
5 20
 
2.6%
8 19
 
2.5%
7 19
 
2.5%
Hangul
ValueCountFrequency (%)
포 88
24.4%
영 81
22.4%
등 81
22.4%
서 17
 
4.7%
나 11
 
3.0%
울 7
 
1.9%
마 7
 
1.9%
강 7
 
1.9%
광 5
 
1.4%
천 5
 
1.4%
Other values (24) 52
14.4%

등록일자
Date

Distinct123
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1989-12-01 00:00:00
Maximum2022-05-17 00:00:00
2023-12-12T23:49:57.044486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:57.213267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
서울 영등포구
129 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울 영등포구
2nd row서울 영등포구
3rd row서울 영등포구
4th row서울 영등포구
5th row서울 영등포구

Common Values

ValueCountFrequency (%)
서울 영등포구 129
100.0%

Length

2023-12-12T23:49:57.365527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:49:57.478410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울 129
50.0%
영등포구 129
50.0%

우편번호
Real number (ℝ)

Distinct69
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7277.5271
Minimum7202
Maximum7435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T23:49:57.581769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7202
5-th percentile7205.4
Q17229
median7266
Q37325
95-th percentile7390.6
Maximum7435
Range233
Interquartile range (IQR)96

Descriptive statistics

Standard deviation57.608061
Coefficient of variation (CV)0.0079158841
Kurtosis-0.34911267
Mean7277.5271
Median Absolute Deviation (MAD)38
Skewness0.67394301
Sum938801
Variance3318.6887
MonotonicityNot monotonic
2023-12-12T23:49:57.721403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7299 9
 
7.0%
7217 6
 
4.7%
7345 6
 
4.7%
7220 4
 
3.1%
7278 4
 
3.1%
7207 3
 
2.3%
7205 3
 
2.3%
7282 3
 
2.3%
7271 3
 
2.3%
7253 3
 
2.3%
Other values (59) 85
65.9%
ValueCountFrequency (%)
7202 3
2.3%
7204 1
 
0.8%
7205 3
2.3%
7206 3
2.3%
7207 3
2.3%
7208 2
 
1.6%
7213 1
 
0.8%
7214 1
 
0.8%
7217 6
4.7%
7218 1
 
0.8%
ValueCountFrequency (%)
7435 1
0.8%
7412 1
0.8%
7410 1
0.8%
7404 1
0.8%
7401 1
0.8%
7399 1
0.8%
7397 1
0.8%
7381 1
0.8%
7376 1
0.8%
7375 1
0.8%

도로명주소
Text

Distinct127
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T23:49:58.016786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length37.007752
Min length20

Characters and Unicode

Total characters4774
Distinct characters163
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)96.9%

Sample

1st row서울특별시 영등포구 버드나루로 50 , 813호(영등포동2가, 리버타워)
2nd row서울특별시 영등포구 당산로36길 9-3
3rd row서울특별시 영등포구 영등포로 109, 3층 라-39호(당산동2가,영등포유통상가)
4th row서울특별시 영등포구 양평로 5, 7층(당산동5가)
5th row서울특별시 영등포구 도림로47길 20 (대림동)
ValueCountFrequency (%)
서울특별시 129
 
16.8%
영등포구 129
 
16.8%
21
 
2.7%
여의도동 16
 
2.1%
경인로 8
 
1.0%
11 7
 
0.9%
775 7
 
0.9%
버드나루로 6
 
0.8%
15 6
 
0.8%
선유로 5
 
0.7%
Other values (322) 434
56.5%
2023-12-12T23:49:58.505659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
639
 
13.4%
1 196
 
4.1%
영 160
 
3.4%
등 153
 
3.2%
포 153
 
3.2%
동 146
 
3.1%
시 139
 
2.9%
2 132
 
2.8%
서 131
 
2.7%
, 131
 
2.7%
Other values (153) 2794
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2866
60.0%
Decimal Number 838
 
17.6%
Space Separator 639
 
13.4%
Other Punctuation 150
 
3.1%
Close Punctuation 127
 
2.7%
Open Punctuation 126
 
2.6%
Dash Punctuation 21
 
0.4%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 160
 
5.6%
등 153
 
5.3%
포 153
 
5.3%
동 146
 
5.1%
시 139
 
4.8%
서 131
 
4.6%
구 129
 
4.5%
특 129
 
4.5%
별 129
 
4.5%
울 129
 
4.5%
Other values (131) 1468
51.2%
Decimal Number
ValueCountFrequency (%)
1 196
23.4%
2 132
15.8%
3 106
12.6%
0 101
12.1%
5 70
 
8.4%
4 63
 
7.5%
7 54
 
6.4%
6 49
 
5.8%
8 36
 
4.3%
9 31
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
K 2
28.6%
W 1
14.3%
V 1
14.3%
E 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 131
87.3%
， 18
 
12.0%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
639
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2866
60.0%
Common 1901
39.8%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 160
 
5.6%
등 153
 
5.3%
포 153
 
5.3%
동 146
 
5.1%
시 139
 
4.8%
서 131
 
4.6%
구 129
 
4.5%
특 129
 
4.5%
별 129
 
4.5%
울 129
 
4.5%
Other values (131) 1468
51.2%
Common
ValueCountFrequency (%)
639
33.6%
1 196
 
10.3%
2 132
 
6.9%
, 131
 
6.9%
) 127
 
6.7%
( 126
 
6.6%
3 106
 
5.6%
0 101
 
5.3%
5 70
 
3.7%
4 63
 
3.3%
Other values (7) 210
 
11.0%
Latin
ValueCountFrequency (%)
S 2
28.6%
K 2
28.6%
W 1
14.3%
V 1
14.3%
E 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2866
60.0%
ASCII 1890
39.6%
None 18
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
639
33.8%
1 196
 
10.4%
2 132
 
7.0%
, 131
 
6.9%
) 127
 
6.7%
( 126
 
6.7%
3 106
 
5.6%
0 101
 
5.3%
5 70
 
3.7%
4 63
 
3.3%
Other values (11) 199
 
10.5%
Hangul
ValueCountFrequency (%)
영 160
 
5.6%
등 153
 
5.3%
포 153
 
5.3%
동 146
 
5.1%
시 139
 
4.8%
서 131
 
4.6%
구 129
 
4.5%
특 129
 
4.5%
별 129
 
4.5%
울 129
 
4.5%
Other values (131) 1468
51.2%
None
ValueCountFrequency (%)
， 18
100.0%

전화번호
Text

Distinct127
Distinct (%)99.2%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2023-12-12T23:49:58.818717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.632812
Min length11

Characters and Unicode

Total characters1489
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

Unique126 ?
Unique (%)98.4%

Sample

1st row02-2677-4511
2nd row02-592-6701
3rd row02-3667-5307
4th row02-356-7871
5th row02-844-8095
ValueCountFrequency (%)
02-2691-0488 2
 
1.6%
02-2671-2910 1
 
0.8%
02-2678-0462 1
 
0.8%
02-789-5564 1
 
0.8%
02-2671-0576 1
 
0.8%
02-2135-8520 1
 
0.8%
02-836-3564 1
 
0.8%
02-365-7555 1
 
0.8%
070-8804-8288 1
 
0.8%
02-785-4500 1
 
0.8%
Other values (117) 117
91.4%
2023-12-12T23:49:59.220350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 258
17.3%
- 256
17.2%
2 236
15.8%
6 127
8.5%
7 126
8.5%
1 97
 
6.5%
8 93
 
6.2%
3 93
 
6.2%
5 75
 
5.0%
4 71
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1233
82.8%
Dash Punctuation 256
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 258
20.9%
2 236
19.1%
6 127
10.3%
7 126
10.2%
1 97
 
7.9%
8 93
 
7.5%
3 93
 
7.5%
5 75
 
6.1%
4 71
 
5.8%
9 57
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1489
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 258
17.3%
- 256
17.2%
2 236
15.8%
6 127
8.5%
7 126
8.5%
1 97
 
6.5%
8 93
 
6.2%
3 93
 
6.2%
5 75
 
5.0%
4 71
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1489
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 258
17.3%
- 256
17.2%
2 236
15.8%
6 127
8.5%
7 126
8.5%
1 97
 
6.5%
8 93
 
6.2%
3 93
 
6.2%
5 75
 
5.0%
4 71
 
4.8%

Interactions

2023-12-12T23:49:53.530837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:52.918354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:53.636252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:49:53.419739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:49:59.323869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호
번호1.0000.000
우편번호0.0001.000
2023-12-12T23:49:59.423501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호
번호1.0000.110
우편번호0.1101.000

Missing values

2023-12-12T23:49:53.781596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:49:53.944921image/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

번호업체명대표자업종등록번호등록일자지역우편번호도로명주소전화번호
01(주)가우디디자인건축박은주실내건축공사업영등포20­01­032020-05-19서울 영등포구7248서울특별시 영등포구 버드나루로 50 , 813호(영등포동2가, 리버타워)02-2677-4511
12(주)건배산업전은우실내건축공사업영등포10­01­052010-04-09서울 영등포구7220서울특별시 영등포구 당산로36길 9-302-592-6701
23(주)건축미공조상익실내건축공사업영등포18­01­022018-02-23서울 영등포구7264서울특별시 영등포구 영등포로 109, 3층 라-39호(당산동2가,영등포유통상가)02-3667-5307
34(주)경동하우징송득종실내건축공사업영등포22­나­022022-01-01서울 영등포구7214서울특별시 영등포구 양평로 5, 7층(당산동5가)02-356-7871
45(주)경인인더스트리김종일실내건축공사업영등포13­01­112013-12-30서울 영등포구7410서울특별시 영등포구 도림로47길 20 (대림동)02-844-8095
56(주)공간디자인마당서지애실내건축공사업영등포19­01­032019-06-18서울 영등포구7248서울특별시 영등포구 버드나루로 50，515호(영등포동2가，리버타워)02-2677-4588
67(주)공간디자인에스피강석녀실내건축공사업영등포16­01­022016-04-06서울 영등포구7229서울특별시 영등포구 영중로 134-1 601호(영등포동8가, 문성빌딩)02-2675-5456
78(주)공간아이앤디추미라실내건축공사업동작­09­01­012009-05-07서울 영등포구7299서울특별시 영등포구 당산로2길 12 208호(문래동3가, 에이스테크노타워)02-848-7710
89(주)나이스영건설이향란실내건축공사업영등포19­01­042019-07-25서울 영등포구7345서울특별시 영등포구 63로 40 , 1305호(여의도동,라이프오피스텔) (여의도동)02-782-7011
910(주)다옴산업개발김경진실내건축공사업영등포20­01­062020-06-23서울 영등포구7238서울특별시 영등포구 국회대로76길 18, 801-2호 (여의도동, 오성빌딩)02-784-7718
번호업체명대표자업종등록번호등록일자지역우편번호도로명주소전화번호
119120주식회사미르디자인서수원실내건축공사업성북­10­01­012010-05-10서울 영등포구7228서울특별시 영등포구 영신로 220 , 6층 601-1호(영등포동8가, 케이엔케이디지털타워)02-739-4000
120121주식회사아이넥스디앤지박준영실내건축공사업마포16­01­102016-08-31서울 영등포구7261서울특별시 영등포구 양산로 91 214호(당산동3가, 리드원센터)02-2636-0408
121122주식회사엠유아이디최윤석실내건축공사업마포16­01­042016-06-23서울 영등포구7217서울특별시 영등포구 당산로41길 11 , 316호(당산동4가,당산에스케이브이1센터)02-3144-3352
122123지우에이알씨(주)박정훈실내건축공사업서초­09­01­382009-09-14서울 영등포구7278서울특별시 영등포구 영등포로 20, 우신빌딩 303호 (양평동2가)02-571-1300
123124청노건설(주)배진성실내건축공사업서초­01­01­512001-10-16서울 영등포구7285서울특별시 영등포구 선유로3길 10, 909호(문래동5가, 하우스디비즈)02-2687-2937
124125청담건설(주)이동형실내건축공사업강남­07­01­432007-09-19서울 영등포구7399서울특별시 영등포구 신길로23길 32 , 제상가동 3층 제7호 (신길동)02-548-1226
125126하송이엔씨(주)장소미실내건축공사업영등포19­01­082019-09-17서울 영등포구7435서울특별시 영등포구 여의대방로7길 13 , 지층 103호 (신길동)02-835-6097
126127한화호텔앤드리조트(주)이강만,김형조실내건축공사업영등포11­01­012011-09-02서울 영등포구7345서울특별시 영등포구 63로 50 (여의도동)02-789-6363
127128현대브릿지(주)임상수실내건축공사업영등포20­01­082020-09-08서울 영등포구7217서울특별시 영등포구 당산로 171 6층 603호(당산동4가,금강펜테리움아이티타워)02-2678-6200
128129힘찬종합건설(주)조재윤실내건축공사업영등포22­나­062022-03-16서울 영등포구7404서울특별시 영등포구 도림로 285-1 2층 (신길동)02-783-4440