Overview

Dataset statistics

Number of variables10
Number of observations33
Missing cells5
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory88.0 B

Variable types

Numeric4
Text4
Categorical2

Dataset

Description부산광역시_동래구_건설기계사업자현황_20230317
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079432

Alerts

등록종별 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
사업유형 is highly overall correlated with 등록종별High correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
전화번호 has 5 (15.2%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:57:38.589376
Analysis finished2023-12-10 16:57:42.518558
Duration3.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T01:57:42.650626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-11T01:57:42.884911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

상호명
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T01:57:43.225135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.7878788
Min length3

Characters and Unicode

Total characters224
Distinct characters79
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

Unique29 ?
Unique (%)87.9%

Sample

1st row고흥중기
2nd row주식회사 특수장비산업
3rd row주식회사 특수장비산업
4th row디시티
5th row대림미니중기
ValueCountFrequency (%)
동근중기 2
 
5.7%
특수장비산업 2
 
5.7%
주식회사 2
 
5.7%
고흥중기 1
 
2.9%
동성펌프카 1
 
2.9%
주)태림중기사 1
 
2.9%
주)신한중기 1
 
2.9%
태형건기 1
 
2.9%
흥안중건설(주 1
 
2.9%
주)일성종합중기 1
 
2.9%
Other values (22) 22
62.9%
2023-12-11T01:57:43.741267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 21
 
9.4%
중 16
 
7.1%
주 14
 
6.2%
( 12
 
5.4%
) 12
 
5.4%
건 9
 
4.0%
사 5
 
2.2%
흥 4
 
1.8%
광 4
 
1.8%
성 4
 
1.8%
Other values (69) 123
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
88.4%
Open Punctuation 12
 
5.4%
Close Punctuation 12
 
5.4%
Space Separator 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 21
 
10.6%
중 16
 
8.1%
주 14
 
7.1%
건 9
 
4.5%
사 5
 
2.5%
흥 4
 
2.0%
광 4
 
2.0%
성 4
 
2.0%
비 4
 
2.0%
설 4
 
2.0%
Other values (66) 113
57.1%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
88.4%
Common 26
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 21
 
10.6%
중 16
 
8.1%
주 14
 
7.1%
건 9
 
4.5%
사 5
 
2.5%
흥 4
 
2.0%
광 4
 
2.0%
성 4
 
2.0%
비 4
 
2.0%
설 4
 
2.0%
Other values (66) 113
57.1%
Common
ValueCountFrequency (%)
( 12
46.2%
) 12
46.2%
2
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
88.4%
ASCII 26
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 21
 
10.6%
중 16
 
8.1%
주 14
 
7.1%
건 9
 
4.5%
사 5
 
2.5%
흥 4
 
2.0%
광 4
 
2.0%
성 4
 
2.0%
비 4
 
2.0%
설 4
 
2.0%
Other values (66) 113
57.1%
ASCII
ValueCountFrequency (%)
( 12
46.2%
) 12
46.2%
2
 
7.7%

사업유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
대여업
28 
매매업
5 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대여업 28
84.8%
매매업 5
 
15.2%

Length

2023-12-11T01:57:43.953924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:44.099720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대여업 28
84.8%
매매업 5
 
15.2%

등록종별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
일반
23 
<NA>
5 
개별
5 

Length

Max length4
Median length2
Mean length2.3030303
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row일반
3rd row<NA>
4th row일반
5th row일반

Common Values

ValueCountFrequency (%)
일반 23
69.7%
<NA> 5
 
15.2%
개별 5
 
15.2%

Length

2023-12-11T01:57:44.249075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:44.394675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 23
69.7%
na 5
 
15.2%
개별 5
 
15.2%

전화번호
Text

MISSING 

Distinct23
Distinct (%)82.1%
Missing5
Missing (%)15.2%
Memory size396.0 B
2023-12-11T01:57:44.630855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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

Unique19 ?
Unique (%)67.9%

Sample

1st row051-867-6600
2nd row051-867-6600
3rd row051-501-5907
4th row051-757-8444
5th row051-553-9949
ValueCountFrequency (%)
051-555-6150 3
 
10.7%
051-503-9990 2
 
7.1%
051-867-6600 2
 
7.1%
051-804-8117 2
 
7.1%
051-531-0001 1
 
3.6%
051-804-1855 1
 
3.6%
051-526-8715 1
 
3.6%
051-522-8181 1
 
3.6%
051-505-1883 1
 
3.6%
051-506-2255 1
 
3.6%
Other values (13) 13
46.4%
2023-12-11T01:57:45.124790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 72
21.4%
0 56
16.7%
- 56
16.7%
1 50
14.9%
8 19
 
5.7%
7 19
 
5.7%
6 15
 
4.5%
9 14
 
4.2%
2 13
 
3.9%
3 12
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 72
25.7%
0 56
20.0%
1 50
17.9%
8 19
 
6.8%
7 19
 
6.8%
6 15
 
5.4%
9 14
 
5.0%
2 13
 
4.6%
3 12
 
4.3%
4 10
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 72
21.4%
0 56
16.7%
- 56
16.7%
1 50
14.9%
8 19
 
5.7%
7 19
 
5.7%
6 15
 
4.5%
9 14
 
4.2%
2 13
 
3.9%
3 12
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 72
21.4%
0 56
16.7%
- 56
16.7%
1 50
14.9%
8 19
 
5.7%
7 19
 
5.7%
6 15
 
4.5%
9 14
 
4.2%
2 13
 
3.9%
3 12
 
3.6%

우편번호
Real number (ℝ)

Distinct20
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47807.697
Minimum47728
Maximum47904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T01:57:45.349467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47728
5-th percentile47728
Q147783
median47809
Q347836
95-th percentile47893
Maximum47904
Range176
Interquartile range (IQR)53

Descriptive statistics

Standard deviation48.070576
Coefficient of variation (CV)0.0010054987
Kurtosis-0.38686397
Mean47807.697
Median Absolute Deviation (MAD)27
Skewness0.21759189
Sum1577654
Variance2310.7803
MonotonicityNot monotonic
2023-12-11T01:57:45.552217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
47813 3
 
9.1%
47728 3
 
9.1%
47784 3
 
9.1%
47753 2
 
6.1%
47852 2
 
6.1%
47783 2
 
6.1%
47822 2
 
6.1%
47793 2
 
6.1%
47836 2
 
6.1%
47809 2
 
6.1%
Other values (10) 10
30.3%
ValueCountFrequency (%)
47728 3
9.1%
47743 1
 
3.0%
47753 2
6.1%
47764 1
 
3.0%
47783 2
6.1%
47784 3
9.1%
47791 1
 
3.0%
47793 2
6.1%
47809 2
6.1%
47813 3
9.1%
ValueCountFrequency (%)
47904 1
3.0%
47899 1
3.0%
47889 1
3.0%
47887 1
3.0%
47852 2
6.1%
47846 1
3.0%
47840 1
3.0%
47836 2
6.1%
47822 2
6.1%
47820 1
3.0%

도로명주소
Text

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T01:57:45.941858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length29.787879
Min length22

Characters and Unicode

Total characters983
Distinct characters82
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

Unique23 ?
Unique (%)69.7%

Sample

1st row부산광역시 동래구 충렬대로249번길 지하 31(수안동)
2nd row부산광역시 동래구 명안로18번길 108, 4층(안락동)
3rd row부산광역시 동래구 명안로18번길 108, 4층(안락동)
4th row부산광역시 동래구 충렬대로 259, 7층(낙민동, 동호디시티)
5th row부산광역시 동래구 아시아드대로176번길 24, 가동(사직동)
ValueCountFrequency (%)
부산광역시 33
19.5%
동래구 33
19.5%
안락로 4
 
2.4%
93 3
 
1.8%
2층(안락동 3
 
1.8%
중앙대로1367번길 3
 
1.8%
40(온천동 3
 
1.8%
4층(안락동 2
 
1.2%
24 2
 
1.2%
3층 2
 
1.2%
Other values (71) 81
47.9%
2023-12-11T01:57:46.523688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
13.8%
동 71
 
7.2%
시 37
 
3.8%
1 36
 
3.7%
래 36
 
3.7%
구 33
 
3.4%
산 33
 
3.4%
로 33
 
3.4%
부 33
 
3.4%
역 33
 
3.4%
Other values (72) 502
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 581
59.1%
Decimal Number 175
 
17.8%
Space Separator 136
 
13.8%
Other Punctuation 31
 
3.2%
Open Punctuation 28
 
2.8%
Close Punctuation 28
 
2.8%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 71
 
12.2%
시 37
 
6.4%
래 36
 
6.2%
구 33
 
5.7%
산 33
 
5.7%
로 33
 
5.7%
부 33
 
5.7%
역 33
 
5.7%
광 33
 
5.7%
안 24
 
4.1%
Other values (57) 215
37.0%
Decimal Number
ValueCountFrequency (%)
1 36
20.6%
3 26
14.9%
2 25
14.3%
4 22
12.6%
0 20
11.4%
8 13
 
7.4%
7 11
 
6.3%
9 10
 
5.7%
6 8
 
4.6%
5 4
 
2.3%
Space Separator
ValueCountFrequency (%)
136
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 581
59.1%
Common 402
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 71
 
12.2%
시 37
 
6.4%
래 36
 
6.2%
구 33
 
5.7%
산 33
 
5.7%
로 33
 
5.7%
부 33
 
5.7%
역 33
 
5.7%
광 33
 
5.7%
안 24
 
4.1%
Other values (57) 215
37.0%
Common
ValueCountFrequency (%)
136
33.8%
1 36
 
9.0%
, 31
 
7.7%
( 28
 
7.0%
) 28
 
7.0%
3 26
 
6.5%
2 25
 
6.2%
4 22
 
5.5%
0 20
 
5.0%
8 13
 
3.2%
Other values (5) 37
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 581
59.1%
ASCII 402
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
33.8%
1 36
 
9.0%
, 31
 
7.7%
( 28
 
7.0%
) 28
 
7.0%
3 26
 
6.5%
2 25
 
6.2%
4 22
 
5.5%
0 20
 
5.0%
8 13
 
3.2%
Other values (5) 37
 
9.2%
Hangul
ValueCountFrequency (%)
동 71
 
12.2%
시 37
 
6.4%
래 36
 
6.2%
구 33
 
5.7%
산 33
 
5.7%
로 33
 
5.7%
부 33
 
5.7%
역 33
 
5.7%
광 33
 
5.7%
안 24
 
4.1%
Other values (57) 215
37.0%

지번주소
Text

Distinct25
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T01:57:46.868066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length22.454545
Min length20

Characters and Unicode

Total characters741
Distinct characters63
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

Unique19 ?
Unique (%)57.6%

Sample

1st row부산광역시 동래구 수안동 422-1
2nd row부산광역시 동래구 안락동 463-6
3rd row부산광역시 동래구 안락동 463-6
4th row부산광역시 동래구 낙민동 268 동호 디시티
5th row부산광역시 동래구 사직동 60-33
ValueCountFrequency (%)
부산광역시 33
22.8%
동래구 33
22.8%
안락동 13
 
9.0%
온천동 6
 
4.1%
사직동 5
 
3.4%
수안동 4
 
2.8%
455-36 3
 
2.1%
750-94 3
 
2.1%
복천동 2
 
1.4%
478-2 2
 
1.4%
Other values (35) 41
28.3%
2023-12-11T01:57:47.378036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
19.6%
동 71
 
9.6%
시 35
 
4.7%
래 35
 
4.7%
부 33
 
4.5%
산 33
 
4.5%
광 33
 
4.5%
역 33
 
4.5%
구 33
 
4.5%
- 28
 
3.8%
Other values (53) 262
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
57.4%
Space Separator 145
 
19.6%
Decimal Number 143
 
19.3%
Dash Punctuation 28
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 71
16.7%
시 35
8.2%
래 35
8.2%
부 33
 
7.8%
산 33
 
7.8%
광 33
 
7.8%
역 33
 
7.8%
구 33
 
7.8%
안 19
 
4.5%
락 15
 
3.5%
Other values (41) 85
20.0%
Decimal Number
ValueCountFrequency (%)
4 27
18.9%
2 24
16.8%
1 20
14.0%
3 16
11.2%
6 14
9.8%
5 14
9.8%
9 8
 
5.6%
8 8
 
5.6%
0 7
 
4.9%
7 5
 
3.5%
Space Separator
ValueCountFrequency (%)
145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
57.4%
Common 316
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 71
16.7%
시 35
8.2%
래 35
8.2%
부 33
 
7.8%
산 33
 
7.8%
광 33
 
7.8%
역 33
 
7.8%
구 33
 
7.8%
안 19
 
4.5%
락 15
 
3.5%
Other values (41) 85
20.0%
Common
ValueCountFrequency (%)
145
45.9%
- 28
 
8.9%
4 27
 
8.5%
2 24
 
7.6%
1 20
 
6.3%
3 16
 
5.1%
6 14
 
4.4%
5 14
 
4.4%
9 8
 
2.5%
8 8
 
2.5%
Other values (2) 12
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
57.4%
ASCII 316
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
45.9%
- 28
 
8.9%
4 27
 
8.5%
2 24
 
7.6%
1 20
 
6.3%
3 16
 
5.1%
6 14
 
4.4%
5 14
 
4.4%
9 8
 
2.5%
8 8
 
2.5%
Other values (2) 12
 
3.8%
Hangul
ValueCountFrequency (%)
동 71
16.7%
시 35
8.2%
래 35
8.2%
부 33
 
7.8%
산 33
 
7.8%
광 33
 
7.8%
역 33
 
7.8%
구 33
 
7.8%
안 19
 
4.5%
락 15
 
3.5%
Other values (41) 85
20.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.201565
Minimum35.192511
Maximum35.211102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T01:57:47.591613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.192511
5-th percentile35.194493
Q135.197468
median35.200618
Q335.205648
95-th percentile35.209993
Maximum35.211102
Range0.01859168
Interquartile range (IQR)0.00818027

Descriptive statistics

Standard deviation0.0050307038
Coefficient of variation (CV)0.00014291137
Kurtosis-0.76620827
Mean35.201565
Median Absolute Deviation (MAD)0.00355174
Skewness0.28728406
Sum1161.6516
Variance2.5307981 × 10-5
MonotonicityNot monotonic
2023-12-11T01:57:47.806415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
35.2099931 3
 
9.1%
35.19940748 3
 
9.1%
35.1974682 2
 
6.1%
35.20224971 2
 
6.1%
35.20564847 2
 
6.1%
35.20289873 2
 
6.1%
35.19706611 1
 
3.0%
35.20122426 1
 
3.0%
35.20061785 1
 
3.0%
35.19664735 1
 
3.0%
Other values (15) 15
45.5%
ValueCountFrequency (%)
35.1925106 1
3.0%
35.1932848 1
3.0%
35.19529924 1
3.0%
35.19652132 1
3.0%
35.19664735 1
3.0%
35.19705201 1
3.0%
35.19706611 1
3.0%
35.1974682 2
6.1%
35.19765383 1
3.0%
35.19781717 1
3.0%
ValueCountFrequency (%)
35.21110228 1
 
3.0%
35.2099931 3
9.1%
35.20763012 1
 
3.0%
35.20708157 1
 
3.0%
35.20616586 1
 
3.0%
35.20576713 1
 
3.0%
35.20564847 2
6.1%
35.20289873 2
6.1%
35.20266785 1
 
3.0%
35.20224971 2
6.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08918
Minimum129.0636
Maximum129.11314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T01:57:48.023632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.0636
5-th percentile129.06485
Q1129.07577
median129.08768
Q3129.10238
95-th percentile129.11024
Maximum129.11314
Range0.0495375
Interquartile range (IQR)0.0266064

Descriptive statistics

Standard deviation0.016126872
Coefficient of variation (CV)0.00012492815
Kurtosis-1.4394585
Mean129.08918
Median Absolute Deviation (MAD)0.0146973
Skewness-0.11434502
Sum4259.9429
Variance0.00026007599
MonotonicityNot monotonic
2023-12-11T01:57:48.189869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
129.0757738 3
 
9.1%
129.1071066 3
 
9.1%
129.1101989 2
 
6.1%
129.0636025 2
 
6.1%
129.085853 2
 
6.1%
129.096897 2
 
6.1%
129.1058779 1
 
3.0%
129.0876829 1
 
3.0%
129.0656896 1
 
3.0%
129.1023802 1
 
3.0%
Other values (15) 15
45.5%
ValueCountFrequency (%)
129.0636025 2
6.1%
129.0656896 1
 
3.0%
129.0667698 1
 
3.0%
129.0705233 1
 
3.0%
129.0713971 1
 
3.0%
129.0716356 1
 
3.0%
129.0723187 1
 
3.0%
129.0757738 3
9.1%
129.0797642 1
 
3.0%
129.0836512 1
 
3.0%
ValueCountFrequency (%)
129.11314 1
 
3.0%
129.1103066 1
 
3.0%
129.1101989 2
6.1%
129.1071066 3
9.1%
129.1058779 1
 
3.0%
129.1023802 1
 
3.0%
129.1018076 1
 
3.0%
129.1017703 1
 
3.0%
129.1014773 1
 
3.0%
129.0993917 1
 
3.0%

Interactions

2023-12-11T01:57:41.426140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:39.371587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:40.020195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:40.711987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:41.582655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:39.529227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:40.171623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:40.875798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:41.724023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:39.712309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:40.338012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:41.066760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:41.913235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:39.886376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:40.546394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:41.256017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:57:48.338468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상호명사업유형등록종별전화번호우편번호도로명주소지번주소위도경도
순번1.0000.9600.2170.7730.8260.6410.8700.8400.4800.734
상호명0.9601.0000.0001.0001.0001.0001.0000.9790.0000.716
사업유형0.2170.0001.000NaN0.0000.0000.0000.0000.4370.385
등록종별0.7731.000NaN1.0001.0000.0001.0000.7360.0000.952
전화번호0.8261.0000.0001.0001.0001.0001.0000.9910.7960.794
우편번호0.6411.0000.0000.0001.0001.0001.0001.0000.5780.487
도로명주소0.8701.0000.0001.0001.0001.0001.0000.9940.7700.809
지번주소0.8400.9790.0000.7360.9911.0000.9941.0000.8630.820
위도0.4800.0000.4370.0000.7960.5780.7700.8631.0000.871
경도0.7340.7160.3850.9520.7940.4870.8090.8200.8711.000
2023-12-11T01:57:48.531272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록종별사업유형
등록종별1.0001.000
사업유형1.0001.000
2023-12-11T01:57:49.034020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호위도경도사업유형등록종별
순번1.000-0.222-0.1450.0740.0000.478
우편번호-0.2221.0000.395-0.3700.0000.000
위도-0.1450.3951.000-0.5490.3760.000
경도0.074-0.370-0.5491.0000.1420.578
사업유형0.0000.0000.3760.1421.0001.000
등록종별0.4780.0000.0000.5781.0001.000

Missing values

2023-12-11T01:57:42.090938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:57:42.413449image/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

순번상호명사업유형등록종별전화번호우편번호도로명주소지번주소위도경도
01고흥중기매매업<NA><NA>47813부산광역시 동래구 충렬대로249번길 지하 31(수안동)부산광역시 동래구 수안동 422-135.209993129.075774
12주식회사 특수장비산업대여업일반051-867-660047793부산광역시 동래구 명안로18번길 108, 4층(안락동)부산광역시 동래구 안락동 463-635.202899129.096897
23주식회사 특수장비산업매매업<NA>051-867-660047793부산광역시 동래구 명안로18번길 108, 4층(안락동)부산광역시 동래구 안락동 463-635.209993129.075774
34디시티대여업일반051-501-590747813부산광역시 동래구 충렬대로 259, 7층(낙민동, 동호디시티)부산광역시 동래구 낙민동 268 동호 디시티35.207082129.101808
45대림미니중기대여업일반<NA>47840부산광역시 동래구 아시아드대로176번길 24, 가동(사직동)부산광역시 동래구 사직동 60-3335.192511129.11314
56범호산업개발(주)대여업일반051-757-844447899부산광역시 동래구 충렬대로446번길 67, 401호(안락동, 경동리인상가)부산광역시 동래구 안락동 1258 안락 경동리인 아파트35.209993129.075774
67글로벌서비스코리아(주)대여업일반051-553-994947809부산광역시 동래구 동래로 132(복천동)부산광역시 동래구 복천동 478-235.196521129.099392
78글로벌서비스대여업개별<NA>47809부산광역시 동래구 동래로 132, 2층(복천동)부산광역시 동래구 복천동 478-235.20225129.063603
89(주)수림펌프카대여업개별<NA>47743부산광역시 동래구 명륜로187번길 53, 3층(명륜동)부산광역시 동래구 명륜동 681-3335.197052129.071397
910동근중기매매업<NA>051-804-811747852부산광역시 동래구 석사북로 48, 101호(사직동, 명화주택)부산광역시 동래구 사직동 22-39 명화주택35.20763129.06677
순번상호명사업유형등록종별전화번호우편번호도로명주소지번주소위도경도
2324원진중기대여업일반051-743-362347753부산광역시 동래구 충렬사로 39, 402호(안락동, 동래화목타운)부산광역시 동래구 안락동 962 동래화목타운35.200523129.101477
2425광역중기대여업일반051-506-225547846부산광역시 동래구 아시아드대로247번가길 16(온천동)부산광역시 동래구 온천동 1312-135.20225129.063603
2526세진건기대여업일반051-505-188347836부산광역시 동래구 미남로 32-1(사직동)부산광역시 동래구 사직동 153-2935.211102129.079764
2627동근중기대여업일반051-804-811747852부산광역시 동래구 석사북로 48, 101호(사직동, 명화주택)부산광역시 동래구 사직동 22-39 명화주택35.205648129.085853
2728(주)일성종합중기대여업일반051-522-818147889부산광역시 동래구 안연로110번길 30, 2층부산광역시 동래구 안락동 435-135.205648129.085853
2829흥성건기(주)대여업일반051-555-615047728부산광역시 동래구 중앙대로1367번길 40(온천동)부산광역시 동래구 온천동 750-9435.196647129.10238
2930태형건기대여업일반051-526-871547764부산광역시 동래구 명서로 182, 10동 204호(명장동, 경동상가)부산광역시 동래구 명장동 326-4 명장경동아파트35.200618129.06569
3031(주)신한중기대여업일반051-555-615047728부산광역시 동래구 중앙대로1367번길 40(온천동)부산광역시 동래구 온천동 750-9435.201224129.087683
3132(주)태림중기사대여업일반051-816-070747753부산광역시 동래구 충렬사로 39, 상가동 305호(안락동, 화목타운)부산광역시 동래구 안락동 962 동래화목타운35.197468129.110199
3233부강중기(주)대여업일반051-555-615047728부산광역시 동래구 중앙대로1367번길 40(온천동)부산광역시 동래구 온천동 750-9435.197468129.110199