Overview

Dataset statistics

Number of variables5
Number of observations161
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory41.8 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description경기도 광주시 소재 건설기계사업체 현황에 대한 데이터로 상호(명칭), 전화번호, 주소, 데이터기준일자 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/3079602/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:06:59.075049
Analysis finished2024-03-14 10:07:00.222700
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct161
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81
Minimum1
Maximum161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-14T19:07:00.434040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q141
median81
Q3121
95-th percentile153
Maximum161
Range160
Interquartile range (IQR)80

Descriptive statistics

Standard deviation46.620811
Coefficient of variation (CV)0.57556557
Kurtosis-1.2
Mean81
Median Absolute Deviation (MAD)40
Skewness0
Sum13041
Variance2173.5
MonotonicityStrictly increasing
2024-03-14T19:07:00.895291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
122 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
Other values (151) 151
93.8%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%

상호(명칭)
Text

Distinct145
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T19:07:01.944485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.2173913
Min length3

Characters and Unicode

Total characters1162
Distinct characters188
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

Unique134 ?
Unique (%)83.2%

Sample

1st row성남폐차산업사
2nd row장성엔지니어링
3rd row(주)굿모닝테크
4th row토성건기(주)
5th row(개별)
ValueCountFrequency (%)
지게차솔루션 4
 
2.3%
고려물류기계(주 3
 
1.7%
티에스에프 3
 
1.7%
주식회사 3
 
1.7%
주)비오비월드 3
 
1.7%
광진건설중기 2
 
1.1%
삼성물류기계 2
 
1.1%
서비스 2
 
1.1%
지산건설중기 2
 
1.1%
주)지니아이엔티엘 2
 
1.1%
Other values (146) 151
85.3%
2024-03-14T19:07:03.381278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 66
 
5.7%
( 66
 
5.7%
주 66
 
5.7%
) 66
 
5.7%
중 44
 
3.8%
지 33
 
2.8%
건 33
 
2.8%
설 28
 
2.4%
차 22
 
1.9%
성 20
 
1.7%
Other values (178) 718
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1005
86.5%
Open Punctuation 66
 
5.7%
Close Punctuation 66
 
5.7%
Space Separator 16
 
1.4%
Uppercase Letter 5
 
0.4%
Dash Punctuation 3
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 66
 
6.6%
주 66
 
6.6%
중 44
 
4.4%
지 33
 
3.3%
건 33
 
3.3%
설 28
 
2.8%
차 22
 
2.2%
성 20
 
2.0%
동 18
 
1.8%
이 17
 
1.7%
Other values (169) 658
65.5%
Uppercase Letter
ValueCountFrequency (%)
G 2
40.0%
E 1
20.0%
T 1
20.0%
H 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1005
86.5%
Common 152
 
13.1%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 66
 
6.6%
주 66
 
6.6%
중 44
 
4.4%
지 33
 
3.3%
건 33
 
3.3%
설 28
 
2.8%
차 22
 
2.2%
성 20
 
2.0%
동 18
 
1.8%
이 17
 
1.7%
Other values (169) 658
65.5%
Common
ValueCountFrequency (%)
( 66
43.4%
) 66
43.4%
16
 
10.5%
- 3
 
2.0%
1 1
 
0.7%
Latin
ValueCountFrequency (%)
G 2
40.0%
E 1
20.0%
T 1
20.0%
H 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1005
86.5%
ASCII 157
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 66
 
6.6%
주 66
 
6.6%
중 44
 
4.4%
지 33
 
3.3%
건 33
 
3.3%
설 28
 
2.8%
차 22
 
2.2%
성 20
 
2.0%
동 18
 
1.8%
이 17
 
1.7%
Other values (169) 658
65.5%
ASCII
ValueCountFrequency (%)
( 66
42.0%
) 66
42.0%
16
 
10.2%
- 3
 
1.9%
G 2
 
1.3%
E 1
 
0.6%
T 1
 
0.6%
H 1
 
0.6%
1 1
 
0.6%

전화번호
Text

Distinct69
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T19:07:04.332764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.267081
Min length11

Characters and Unicode

Total characters1975
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

Unique50 ?
Unique (%)31.1%

Sample

1st row000-0000-0000
2nd row031-743-3772
3rd row031-781-9975
4th row031-767-7701
5th row031-768-9032
ValueCountFrequency (%)
000-0000-0000 45
28.0%
031-767-7701 27
 
16.8%
031-767-8838 4
 
2.5%
031-765-7611 3
 
1.9%
031-797-7724 3
 
1.9%
031-753-6451 3
 
1.9%
031-798-4888 2
 
1.2%
031-766-9522 2
 
1.2%
031-797-9090 2
 
1.2%
031-762-3333 2
 
1.2%
Other values (59) 68
42.2%
2024-03-14T19:07:05.730455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 675
34.2%
- 322
16.3%
7 244
 
12.4%
1 192
 
9.7%
3 158
 
8.0%
6 119
 
6.0%
8 63
 
3.2%
5 57
 
2.9%
9 52
 
2.6%
2 48
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1653
83.7%
Dash Punctuation 322
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 675
40.8%
7 244
 
14.8%
1 192
 
11.6%
3 158
 
9.6%
6 119
 
7.2%
8 63
 
3.8%
5 57
 
3.4%
9 52
 
3.1%
2 48
 
2.9%
4 45
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1975
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 675
34.2%
- 322
16.3%
7 244
 
12.4%
1 192
 
9.7%
3 158
 
8.0%
6 119
 
6.0%
8 63
 
3.2%
5 57
 
2.9%
9 52
 
2.6%
2 48
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 675
34.2%
- 322
16.3%
7 244
 
12.4%
1 192
 
9.7%
3 158
 
8.0%
6 119
 
6.0%
8 63
 
3.2%
5 57
 
2.9%
9 52
 
2.6%
2 48
 
2.4%

주소
Text

Distinct107
Distinct (%)66.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T19:07:07.182954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length21.888199
Min length16

Characters and Unicode

Total characters3524
Distinct characters125
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

Unique89 ?
Unique (%)55.3%

Sample

1st row경기도 광주시 경충대로 1803(장지동)
2nd row경기도 광주시 곤지암읍 광여로862번길 12
3rd row경기도 광주시 곤지암읍 수양리 367번지 42호
4th row경기도 광주시 이배재로 38(탄벌동)
5th row경기도 광주시 초월읍 경충대로 1003
ValueCountFrequency (%)
경기도 161
21.0%
광주시 161
21.0%
이배재로 33
 
4.3%
38(탄벌동 31
 
4.0%
곤지암읍 29
 
3.8%
초월읍 17
 
2.2%
오포읍 15
 
2.0%
도척면 13
 
1.7%
경충대로 8
 
1.0%
2호 6
 
0.8%
Other values (197) 293
38.2%
2024-03-14T19:07:09.079654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
606
 
17.2%
도 183
 
5.2%
경 181
 
5.1%
광 167
 
4.7%
주 163
 
4.6%
시 161
 
4.6%
기 161
 
4.6%
1 106
 
3.0%
로 98
 
2.8%
2 92
 
2.6%
Other values (115) 1606
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2142
60.8%
Space Separator 606
 
17.2%
Decimal Number 586
 
16.6%
Open Punctuation 69
 
2.0%
Close Punctuation 69
 
2.0%
Dash Punctuation 39
 
1.1%
Other Punctuation 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 183
 
8.5%
경 181
 
8.5%
광 167
 
7.8%
주 163
 
7.6%
시 161
 
7.5%
기 161
 
7.5%
로 98
 
4.6%
동 86
 
4.0%
지 82
 
3.8%
읍 62
 
2.9%
Other values (100) 798
37.3%
Decimal Number
ValueCountFrequency (%)
1 106
18.1%
2 92
15.7%
3 77
13.1%
8 69
11.8%
6 54
9.2%
5 46
7.8%
4 41
 
7.0%
0 39
 
6.7%
9 36
 
6.1%
7 26
 
4.4%
Space Separator
ValueCountFrequency (%)
606
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2142
60.8%
Common 1382
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 183
 
8.5%
경 181
 
8.5%
광 167
 
7.8%
주 163
 
7.6%
시 161
 
7.5%
기 161
 
7.5%
로 98
 
4.6%
동 86
 
4.0%
지 82
 
3.8%
읍 62
 
2.9%
Other values (100) 798
37.3%
Common
ValueCountFrequency (%)
606
43.8%
1 106
 
7.7%
2 92
 
6.7%
3 77
 
5.6%
8 69
 
5.0%
( 69
 
5.0%
) 69
 
5.0%
6 54
 
3.9%
5 46
 
3.3%
4 41
 
3.0%
Other values (5) 153
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2142
60.8%
ASCII 1382
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
606
43.8%
1 106
 
7.7%
2 92
 
6.7%
3 77
 
5.6%
8 69
 
5.0%
( 69
 
5.0%
) 69
 
5.0%
6 54
 
3.9%
5 46
 
3.3%
4 41
 
3.0%
Other values (5) 153
 
11.1%
Hangul
ValueCountFrequency (%)
도 183
 
8.5%
경 181
 
8.5%
광 167
 
7.8%
주 163
 
7.6%
시 161
 
7.5%
기 161
 
7.5%
로 98
 
4.6%
동 86
 
4.0%
지 82
 
3.8%
읍 62
 
2.9%
Other values (100) 798
37.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2024-01-09 00:00:00
Maximum2024-01-09 00:00:00
2024-03-14T19:07:09.427966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:09.732659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T19:06:59.425327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:07:10.144635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전화번호
연번1.0000.628
전화번호0.6281.000

Missing values

2024-03-14T19:06:59.778109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:07:00.097099image/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

연번상호(명칭)전화번호주소데이터기준일자
01성남폐차산업사000-0000-0000경기도 광주시 경충대로 1803(장지동)2024-01-09
12장성엔지니어링031-743-3772경기도 광주시 곤지암읍 광여로862번길 122024-01-09
23(주)굿모닝테크031-781-9975경기도 광주시 곤지암읍 수양리 367번지 42호2024-01-09
34토성건기(주)031-767-7701경기도 광주시 이배재로 38(탄벌동)2024-01-09
45(개별)031-768-9032경기도 광주시 초월읍 경충대로 10032024-01-09
56형제펌프카031-765-4471경기도 광주시 오포읍 매자리길 89-62024-01-09
67강동건설중기(주)000-0000-0000경기도 광주시 실촌읍 삼리 9번지2024-01-09
78조양펌프카000-0000-0000경기도 광주시 이배재로 38(탄벌동)2024-01-09
89장수중기031-765-0681경기도 광주시 초월읍 선장동길 702024-01-09
910서흥중기(주)031-769-7666경기도 광주시 경충대로 1888(장지동)2024-01-09
연번상호(명칭)전화번호주소데이터기준일자
151152명성중기매매상사031-766-2120경기도 광주시 오포읍 오포로 9262024-01-09
152153윈필드000-0000-0000경기도 광주시 곤지암읍 독고개길 39, 402호2024-01-09
153154현대종합지게차 서비스000-0000-0000경기도 광주시 곤지암읍 신만로58번길 382024-01-09
154155에이원씨티000-0000-0000경기도 광주시 초월읍 산수로 352, 301호2024-01-09
155156최혜영000-0000-0000경기도 광주시 도척면 방도리 413번지 2호2024-01-09
156157지게차솔루션000-0000-0000경기도 광주시 곤지암읍 내선길 163-152024-01-09
157158(주)비오비월드031-795-1731경기도 광주시 송정동 446번지 1호2024-01-09
158159주식회사 삼성물류기계031-766-9522경기도 광주시 오포로 190(능평동)2024-01-09
159160성남운수(주)031-633-1720경기도 광주시 순암로 210(중대동)2024-01-09
160161(주)장원기전031-265-8541경기도 광주시 도척면 고녹길80번길 145-32024-01-09