Overview

Dataset statistics

Number of variables6
Number of observations469
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.6 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Categorical4
Text1

Dataset

Description경상남도 건설기계 대여업체 현황으로, 건설기계 대여업체 업체명, 등록종별, 주소 등에 관한 정보를 제공합니다. ※ 정지, 말소 등 현재 영업하지 않는 건설기계 대여업체는 제외되었음을 알려드립니다.
URLhttps://www.data.go.kr/data/15113773/fileData.do

Alerts

상태 has constant value ""Constant
사업유형 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:21:45.248855
Analysis finished2023-12-12 21:21:46.079651
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct469
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235
Minimum1
Maximum469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-13T06:21:46.157791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.4
Q1118
median235
Q3352
95-th percentile445.6
Maximum469
Range468
Interquartile range (IQR)234

Descriptive statistics

Standard deviation135.5329
Coefficient of variation (CV)0.57673574
Kurtosis-1.2
Mean235
Median Absolute Deviation (MAD)117
Skewness0
Sum110215
Variance18369.167
MonotonicityStrictly increasing
2023-12-13T06:21:46.319367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
310 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
320 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
317 1
 
0.2%
316 1
 
0.2%
315 1
 
0.2%
Other values (459) 459
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
469 1
0.2%
468 1
0.2%
467 1
0.2%
466 1
0.2%
465 1
0.2%
464 1
0.2%
463 1
0.2%
462 1
0.2%
461 1
0.2%
460 1
0.2%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
영업
469 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 469
100.0%

Length

2023-12-13T06:21:46.442475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:21:46.551185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 469
100.0%

상호(명칭)
Text

Distinct465
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T06:21:46.809998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.0597015
Min length2

Characters and Unicode

Total characters3311
Distinct characters258
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

Unique461 ?
Unique (%)98.3%

Sample

1st row대영중기(주)
2nd row대한종합중기(주)
3rd row한신건기(주)
4th row협진종합중기(주)
5th row(주)한창건기
ValueCountFrequency (%)
주식회사 39
 
7.5%
대영중기(주 2
 
0.4%
미래펌프카 2
 
0.4%
부경종합중기 2
 
0.4%
태진건기 2
 
0.4%
주 2
 
0.4%
성일중기 2
 
0.4%
구룡건기(주 1
 
0.2%
태화산업개발 1
 
0.2%
주)벽송 1
 
0.2%
Other values (465) 465
89.6%
2023-12-13T06:21:47.290534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 279
 
8.4%
( 257
 
7.8%
) 257
 
7.8%
기 213
 
6.4%
중 137
 
4.1%
건 133
 
4.0%
산 75
 
2.3%
설 62
 
1.9%
업 62
 
1.9%
합 60
 
1.8%
Other values (248) 1776
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2726
82.3%
Open Punctuation 257
 
7.8%
Close Punctuation 257
 
7.8%
Space Separator 50
 
1.5%
Uppercase Letter 11
 
0.3%
Other Symbol 4
 
0.1%
Other Punctuation 4
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 279
 
10.2%
기 213
 
7.8%
중 137
 
5.0%
건 133
 
4.9%
산 75
 
2.8%
설 62
 
2.3%
업 62
 
2.3%
합 60
 
2.2%
사 53
 
1.9%
종 53
 
1.9%
Other values (233) 1599
58.7%
Uppercase Letter
ValueCountFrequency (%)
K 2
18.2%
T 2
18.2%
A 2
18.2%
M 1
9.1%
G 1
9.1%
J 1
9.1%
S 1
9.1%
H 1
9.1%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Decimal Number
ValueCountFrequency (%)
8 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2730
82.5%
Common 570
 
17.2%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 279
 
10.2%
기 213
 
7.8%
중 137
 
5.0%
건 133
 
4.9%
산 75
 
2.7%
설 62
 
2.3%
업 62
 
2.3%
합 60
 
2.2%
사 53
 
1.9%
종 53
 
1.9%
Other values (234) 1603
58.7%
Latin
ValueCountFrequency (%)
K 2
18.2%
T 2
18.2%
A 2
18.2%
M 1
9.1%
G 1
9.1%
J 1
9.1%
S 1
9.1%
H 1
9.1%
Common
ValueCountFrequency (%)
( 257
45.1%
) 257
45.1%
50
 
8.8%
& 2
 
0.4%
. 2
 
0.4%
8 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2726
82.3%
ASCII 581
 
17.5%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 279
 
10.2%
기 213
 
7.8%
중 137
 
5.0%
건 133
 
4.9%
산 75
 
2.8%
설 62
 
2.3%
업 62
 
2.3%
합 60
 
2.2%
사 53
 
1.9%
종 53
 
1.9%
Other values (233) 1599
58.7%
ASCII
ValueCountFrequency (%)
( 257
44.2%
) 257
44.2%
50
 
8.6%
K 2
 
0.3%
& 2
 
0.3%
T 2
 
0.3%
A 2
 
0.3%
. 2
 
0.3%
8 2
 
0.3%
M 1
 
0.2%
Other values (4) 4
 
0.7%
None
ValueCountFrequency (%)
㈜ 4
100.0%

사업유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
대여업
469 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대여업 469
100.0%

Length

2023-12-13T06:21:47.467614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:21:47.572195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대여업 469
100.0%

등록종별
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
일반
296 
개별
173 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 296
63.1%
개별 173
36.9%

Length

2023-12-13T06:21:47.676141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:21:47.779764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 296
63.1%
개별 173
36.9%

주소
Categorical

Distinct19
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
경상남도 김해시
88 
경상남도 창원시
75 
경상남도 진주시
52 
경상남도 함안군
42 
경상남도 양산시
38 
Other values (14)
174 

Length

Max length9
Median length9
Mean length8.6055437
Min length8

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row경상남도 진주시
2nd row경상남도 진주시
3rd row경상남도 창원시
4th row경상남도 함안군
5th row경상남도 김해시

Common Values

ValueCountFrequency (%)
경상남도 김해시 88
18.8%
경상남도 창원시 75
16.0%
경상남도 진주시 52
11.1%
경상남도 함안군 42
9.0%
경상남도 양산시 38
8.1%
경상남도 밀양시 26
 
5.5%
경상남도 고성군 18
 
3.8%
경상남도 거제시 18
 
3.8%
경상남도 산청군 17
 
3.6%
경상남도 사천시 17
 
3.6%
Other values (9) 78
16.6%

Length

2023-12-13T06:21:47.883025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 469
50.0%
김해시 89
 
9.5%
창원시 75
 
8.0%
진주시 52
 
5.5%
함안군 42
 
4.5%
양산시 38
 
4.1%
밀양시 26
 
2.8%
고성군 18
 
1.9%
거제시 18
 
1.9%
사천시 17
 
1.8%
Other values (9) 94
 
10.0%

Interactions

2023-12-13T06:21:45.484757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:21:47.953478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록종별주소
순번1.0000.3690.818
등록종별0.3691.0000.278
주소0.8180.2781.000
2023-12-13T06:21:48.039607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록종별주소
등록종별1.0000.242
주소0.2421.000
2023-12-13T06:21:48.121138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록종별주소
순번1.0000.2810.475
등록종별0.2811.0000.242
주소0.4750.2421.000

Missing values

2023-12-13T06:21:45.612700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:21:46.039606image/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

순번상태상호(명칭)사업유형등록종별주소
01영업대영중기(주)대여업일반경상남도 진주시
12영업대한종합중기(주)대여업일반경상남도 진주시
23영업한신건기(주)대여업일반경상남도 창원시
34영업협진종합중기(주)대여업일반경상남도 함안군
45영업(주)한창건기대여업일반경상남도 김해시
56영업삼양건기(주)대여업일반경상남도 사천시
67영업삼흥건기(주)대여업일반경상남도 김해시
78영업계림건기(주)대여업일반경상남도 하동군
89영업(주)고성종합중기대여업일반경상남도 고성군
910영업계명종합중기(주)대여업일반경상남도 진주시
순번상태상호(명칭)사업유형등록종별주소
459460영업(주)두산중장비센터대여업일반경상남도 창원시
460461영업현대지게차 창원판매대여업일반경상남도 창원시
461462영업탑건설중기대여업개별경상남도 창원시
462463영업쿨스엔씨 주식회사대여업개별경상남도 창원시
463464영업(주)송림건설대여업개별경상남도 창원시
464465영업주식회사 진해크레인대여업일반경상남도 창원시
465466영업주식회사 정성개발대여업일반경상남도 창원시
466467영업(주)대성티엘에스대여업개별경상남도 창원시
467468영업태진건기대여업일반경상남도 창원시
468469영업하나중기대여업일반경상남도 창원시