Overview

Dataset statistics

Number of variables9
Number of observations659
Missing cells25
Missing cells (%)0.4%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory48.4 KiB
Average record size in memory75.2 B

Variable types

Numeric3
Text5
DateTime1

Dataset

Description부산광역시 정보통신공사업체 현황에 대한 데이터로 상호명, 등록명, 등록번호, 등록일자, 소재지등의 등록현황 등 항목에 대한 정보를 제공합니다.
Author부산광역시
URLhttps://www.data.go.kr/data/3075987/fileData.do

Alerts

Dataset has 1 (0.2%) duplicate rowsDuplicates
팩스번호 has 19 (2.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:18:57.277395
Analysis finished2023-12-12 11:19:00.817856
Duration3.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

Distinct658
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean398649.58
Minimum110240
Maximum550437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T20:19:00.942678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110240
5-th percentile120093.9
Q1120772
median510293
Q3510540
95-th percentile510693.1
Maximum550437
Range440197
Interquartile range (IQR)389768

Descriptive statistics

Standard deviation175957.9
Coefficient of variation (CV)0.44138489
Kurtosis-1.1167772
Mean398649.58
Median Absolute Deviation (MAD)288
Skewness-0.92787937
Sum2.6271008 × 108
Variance3.0961183 × 1010
MonotonicityNot monotonic
2023-12-12T20:19:01.175771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
550281 2
 
0.3%
510707 1
 
0.2%
510061 1
 
0.2%
510080 1
 
0.2%
530072 1
 
0.2%
510076 1
 
0.2%
510075 1
 
0.2%
510074 1
 
0.2%
510073 1
 
0.2%
510063 1
 
0.2%
Other values (648) 648
98.3%
ValueCountFrequency (%)
110240 1
0.2%
110315 1
0.2%
111334 1
0.2%
112619 1
0.2%
120018 1
0.2%
120020 1
0.2%
120022 1
0.2%
120023 1
0.2%
120029 1
0.2%
120037 1
0.2%
ValueCountFrequency (%)
550437 1
0.2%
550401 1
0.2%
550297 1
0.2%
550284 1
0.2%
550281 2
0.3%
550216 1
0.2%
550145 1
0.2%
550109 1
0.2%
550106 1
0.2%
550001 1
0.2%

상호
Text

Distinct658
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-12T20:19:01.588438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length8.0182094
Min length3

Characters and Unicode

Total characters5284
Distinct characters293
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

Unique657 ?
Unique (%)99.7%

Sample

1st row㈜진민전력
2nd row해진건설 주식회사
3rd row주식회사 대호전력
4th row주식회사 리더캠
5th row주식회사 포앤텍
ValueCountFrequency (%)
주식회사 97
 
12.5%
주 7
 
0.9%
co 2
 
0.3%
ltd 2
 
0.3%
신화에스앤씨 2
 
0.3%
케이엔 2
 
0.3%
주)엑솔아이티 1
 
0.1%
주)에이에스정보통신 1
 
0.1%
smc 1
 
0.1%
e&it 1
 
0.1%
Other values (657) 657
85.0%
2023-12-12T20:19:02.239244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 572
 
10.8%
( 480
 
9.1%
) 480
 
9.1%
이 196
 
3.7%
스 140
 
2.6%
신 124
 
2.3%
사 114
 
2.2%
114
 
2.2%
정 111
 
2.1%
보 108
 
2.0%
Other values (283) 2845
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4142
78.4%
Open Punctuation 480
 
9.1%
Close Punctuation 480
 
9.1%
Space Separator 114
 
2.2%
Uppercase Letter 49
 
0.9%
Other Punctuation 10
 
0.2%
Lowercase Letter 8
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 572
 
13.8%
이 196
 
4.7%
스 140
 
3.4%
신 124
 
3.0%
사 114
 
2.8%
정 111
 
2.7%
보 108
 
2.6%
식 101
 
2.4%
회 101
 
2.4%
통 99
 
2.4%
Other values (253) 2476
59.8%
Uppercase Letter
ValueCountFrequency (%)
S 6
12.2%
I 5
10.2%
C 5
10.2%
M 4
8.2%
T 4
8.2%
L 4
8.2%
D 3
 
6.1%
R 3
 
6.1%
G 3
 
6.1%
E 3
 
6.1%
Other values (8) 9
18.4%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
d 2
25.0%
t 2
25.0%
c 1
12.5%
n 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
, 2
 
20.0%
& 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 480
100.0%
Close Punctuation
ValueCountFrequency (%)
) 480
100.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4143
78.4%
Common 1084
 
20.5%
Latin 57
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 572
 
13.8%
이 196
 
4.7%
스 140
 
3.4%
신 124
 
3.0%
사 114
 
2.8%
정 111
 
2.7%
보 108
 
2.6%
식 101
 
2.4%
회 101
 
2.4%
통 99
 
2.4%
Other values (254) 2477
59.8%
Latin
ValueCountFrequency (%)
S 6
 
10.5%
I 5
 
8.8%
C 5
 
8.8%
M 4
 
7.0%
T 4
 
7.0%
L 4
 
7.0%
D 3
 
5.3%
R 3
 
5.3%
G 3
 
5.3%
E 3
 
5.3%
Other values (13) 17
29.8%
Common
ValueCountFrequency (%)
( 480
44.3%
) 480
44.3%
114
 
10.5%
. 7
 
0.6%
, 2
 
0.2%
& 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4142
78.4%
ASCII 1141
 
21.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 572
 
13.8%
이 196
 
4.7%
스 140
 
3.4%
신 124
 
3.0%
사 114
 
2.8%
정 111
 
2.7%
보 108
 
2.6%
식 101
 
2.4%
회 101
 
2.4%
통 99
 
2.4%
Other values (253) 2476
59.8%
ASCII
ValueCountFrequency (%)
( 480
42.1%
) 480
42.1%
114
 
10.0%
. 7
 
0.6%
S 6
 
0.5%
I 5
 
0.4%
C 5
 
0.4%
M 4
 
0.4%
T 4
 
0.4%
L 4
 
0.4%
Other values (19) 32
 
2.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자
Text

Distinct642
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-12T20:19:02.793791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0197269
Min length2

Characters and Unicode

Total characters1990
Distinct characters187
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

Unique625 ?
Unique (%)94.8%

Sample

1st row최민희
2nd row이상호
3rd row김찬용
4th row강영덕
5th row임광춘
ValueCountFrequency (%)
김종철 3
 
0.5%
김명호 2
 
0.3%
김영우 2
 
0.3%
김정례 2
 
0.3%
최영민 2
 
0.3%
김태영 2
 
0.3%
김영철 2
 
0.3%
조영진 2
 
0.3%
김현수 2
 
0.3%
강기주 2
 
0.3%
Other values (634) 641
96.8%
2023-12-12T20:19:03.617401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 142
 
7.1%
이 87
 
4.4%
박 73
 
3.7%
정 68
 
3.4%
영 63
 
3.2%
성 45
 
2.3%
호 43
 
2.2%
현 37
 
1.9%
수 34
 
1.7%
원 33
 
1.7%
Other values (177) 1365
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1984
99.7%
Other Punctuation 3
 
0.2%
Space Separator 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 142
 
7.2%
이 87
 
4.4%
박 73
 
3.7%
정 68
 
3.4%
영 63
 
3.2%
성 45
 
2.3%
호 43
 
2.2%
현 37
 
1.9%
수 34
 
1.7%
원 33
 
1.7%
Other values (175) 1359
68.5%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1984
99.7%
Common 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 142
 
7.2%
이 87
 
4.4%
박 73
 
3.7%
정 68
 
3.4%
영 63
 
3.2%
성 45
 
2.3%
호 43
 
2.2%
현 37
 
1.9%
수 34
 
1.7%
원 33
 
1.7%
Other values (175) 1359
68.5%
Common
ValueCountFrequency (%)
, 3
50.0%
3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1984
99.7%
ASCII 6
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 142
 
7.2%
이 87
 
4.4%
박 73
 
3.7%
정 68
 
3.4%
영 63
 
3.2%
성 45
 
2.3%
호 43
 
2.2%
현 37
 
1.9%
수 34
 
1.7%
원 33
 
1.7%
Other values (175) 1359
68.5%
ASCII
ValueCountFrequency (%)
, 3
50.0%
3
50.0%

전화번호
Text

Distinct647
Distinct (%)99.1%
Missing6
Missing (%)0.9%
Memory size5.3 KiB
2023-12-12T20:19:04.033580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.04441
Min length9

Characters and Unicode

Total characters7865
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

Unique641 ?
Unique (%)98.2%

Sample

1st row051-714-5010
2nd row051-740-6464
3rd row051-631-3117
4th row051-974-6502
5th row051-301-6566
ValueCountFrequency (%)
051-441-1922 2
 
0.3%
051-781-7507 2
 
0.3%
055-533-3001 2
 
0.3%
051-261-4977 2
 
0.3%
051-863-8368 2
 
0.3%
051-320-0500 2
 
0.3%
051-610-0680 1
 
0.2%
051-809-6388 1
 
0.2%
051-897-1456 1
 
0.2%
051-946-8000 1
 
0.2%
Other values (637) 637
97.5%
2023-12-12T20:19:04.741467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1370
17.4%
- 1304
16.6%
1 1140
14.5%
5 1099
14.0%
3 467
 
5.9%
2 463
 
5.9%
7 456
 
5.8%
8 431
 
5.5%
4 426
 
5.4%
6 400
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6561
83.4%
Dash Punctuation 1304
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1370
20.9%
1 1140
17.4%
5 1099
16.8%
3 467
 
7.1%
2 463
 
7.1%
7 456
 
7.0%
8 431
 
6.6%
4 426
 
6.5%
6 400
 
6.1%
9 309
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 1304
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7865
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1370
17.4%
- 1304
16.6%
1 1140
14.5%
5 1099
14.0%
3 467
 
5.9%
2 463
 
5.9%
7 456
 
5.8%
8 431
 
5.5%
4 426
 
5.4%
6 400
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7865
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1370
17.4%
- 1304
16.6%
1 1140
14.5%
5 1099
14.0%
3 467
 
5.9%
2 463
 
5.9%
7 456
 
5.8%
8 431
 
5.5%
4 426
 
5.4%
6 400
 
5.1%

팩스번호
Text

MISSING 

Distinct618
Distinct (%)96.6%
Missing19
Missing (%)2.9%
Memory size5.3 KiB
2023-12-12T20:19:05.148237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.06875
Min length11

Characters and Unicode

Total characters7724
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

Unique598 ?
Unique (%)93.4%

Sample

1st row051-755-0445
2nd row051-740-6462
3rd row051-631-3119
4th row051-974-6501
5th row051-904-0061
ValueCountFrequency (%)
070-7159-2582 4
 
0.6%
051-557-4268 2
 
0.3%
051-507-0366 2
 
0.3%
051-743-5265 2
 
0.3%
051-205-4541 2
 
0.3%
051-206-4026 2
 
0.3%
051-807-9757 2
 
0.3%
051-261-4979 2
 
0.3%
055-532-3470 2
 
0.3%
051-724-2993 2
 
0.3%
Other values (608) 618
96.6%
2023-12-12T20:19:05.888999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1280
16.6%
0 1243
16.1%
5 1103
14.3%
1 1058
13.7%
2 485
 
6.3%
4 457
 
5.9%
7 446
 
5.8%
3 445
 
5.8%
8 426
 
5.5%
6 397
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6444
83.4%
Dash Punctuation 1280
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1243
19.3%
5 1103
17.1%
1 1058
16.4%
2 485
 
7.5%
4 457
 
7.1%
7 446
 
6.9%
3 445
 
6.9%
8 426
 
6.6%
6 397
 
6.2%
9 384
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 1280
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7724
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1280
16.6%
0 1243
16.1%
5 1103
14.3%
1 1058
13.7%
2 485
 
6.3%
4 457
 
5.9%
7 446
 
5.8%
3 445
 
5.8%
8 426
 
5.5%
6 397
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1280
16.6%
0 1243
16.1%
5 1103
14.3%
1 1058
13.7%
2 485
 
6.3%
4 457
 
5.9%
7 446
 
5.8%
3 445
 
5.8%
8 426
 
5.5%
6 397
 
5.1%

주소
Text

Distinct655
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-12T20:19:06.468096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length46
Mean length30.569044
Min length14

Characters and Unicode

Total characters20145
Distinct characters335
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique651 ?
Unique (%)98.8%

Sample

1st row부산광역시 해운대구 선수촌로208번길 97(반여동)
2nd row부산광역시 해운대구 해운대해변로 203, 오션타워 728호(우동)
3rd row부산광역시 부산진구 신암로 137, 3층(범천동)
4th row부산광역시 강서구 평강로385번길 32, 1층(대저1동)
5th row부산광역시 금정구 개좌로 15, 비동(서동)
ValueCountFrequency (%)
부산 384
 
10.0%
부산광역시 275
 
7.1%
132
 
3.4%
해운대구 89
 
2.3%
사상구 65
 
1.7%
강서구 58
 
1.5%
금정구 51
 
1.3%
부산진구 51
 
1.3%
동래구 49
 
1.3%
남구 45
 
1.2%
Other values (1422) 2655
68.9%
2023-12-12T20:19:07.244267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3195
 
15.9%
동 852
 
4.2%
산 809
 
4.0%
1 769
 
3.8%
부 767
 
3.8%
구 651
 
3.2%
로 638
 
3.2%
, 628
 
3.1%
) 623
 
3.1%
( 623
 
3.1%
Other values (325) 10590
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11354
56.4%
Decimal Number 3561
 
17.7%
Space Separator 3195
 
15.9%
Other Punctuation 629
 
3.1%
Close Punctuation 623
 
3.1%
Open Punctuation 623
 
3.1%
Dash Punctuation 123
 
0.6%
Uppercase Letter 34
 
0.2%
Letter Number 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 852
 
7.5%
산 809
 
7.1%
부 767
 
6.8%
구 651
 
5.7%
로 638
 
5.6%
대 401
 
3.5%
광 310
 
2.7%
시 298
 
2.6%
길 290
 
2.6%
역 275
 
2.4%
Other values (298) 6063
53.4%
Decimal Number
ValueCountFrequency (%)
1 769
21.6%
2 590
16.6%
0 405
11.4%
3 367
10.3%
4 295
 
8.3%
5 279
 
7.8%
6 249
 
7.0%
7 241
 
6.8%
8 185
 
5.2%
9 181
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
T 7
20.6%
A 7
20.6%
K 4
11.8%
C 4
11.8%
B 4
11.8%
E 4
11.8%
Z 2
 
5.9%
P 2
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 628
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 623
100.0%
Open Punctuation
ValueCountFrequency (%)
( 623
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11355
56.4%
Common 8755
43.5%
Latin 35
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 852
 
7.5%
산 809
 
7.1%
부 767
 
6.8%
구 651
 
5.7%
로 638
 
5.6%
대 401
 
3.5%
광 310
 
2.7%
시 298
 
2.6%
길 290
 
2.6%
역 275
 
2.4%
Other values (299) 6064
53.4%
Common
ValueCountFrequency (%)
3195
36.5%
1 769
 
8.8%
, 628
 
7.2%
) 623
 
7.1%
( 623
 
7.1%
2 590
 
6.7%
0 405
 
4.6%
3 367
 
4.2%
4 295
 
3.4%
5 279
 
3.2%
Other values (7) 981
 
11.2%
Latin
ValueCountFrequency (%)
T 7
20.0%
A 7
20.0%
K 4
11.4%
C 4
11.4%
B 4
11.4%
E 4
11.4%
Z 2
 
5.7%
P 2
 
5.7%
Ⅱ 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11354
56.4%
ASCII 8789
43.6%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3195
36.4%
1 769
 
8.7%
, 628
 
7.1%
) 623
 
7.1%
( 623
 
7.1%
2 590
 
6.7%
0 405
 
4.6%
3 367
 
4.2%
4 295
 
3.4%
5 279
 
3.2%
Other values (15) 1015
 
11.5%
Hangul
ValueCountFrequency (%)
동 852
 
7.5%
산 809
 
7.1%
부 767
 
6.8%
구 651
 
5.7%
로 638
 
5.6%
대 401
 
3.5%
광 310
 
2.7%
시 298
 
2.6%
길 290
 
2.6%
역 275
 
2.4%
Other values (298) 6063
53.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

위도
Real number (ℝ)

Distinct559
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.171623
Minimum35.023014
Maximum35.369225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T20:19:07.466689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.023014
5-th percentile35.087352
Q135.138223
median35.172987
Q335.202233
95-th percentile35.265542
Maximum35.369225
Range0.34621102
Interquartile range (IQR)0.0640094

Descriptive statistics

Standard deviation0.054274538
Coefficient of variation (CV)0.0015431343
Kurtosis0.60831963
Mean35.171623
Median Absolute Deviation (MAD)0.03231867
Skewness0.48298052
Sum23178.1
Variance0.0029457254
MonotonicityNot monotonic
2023-12-12T20:19:07.685039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.17664093 11
 
1.7%
35.15465447 7
 
1.1%
35.13649122 6
 
0.9%
35.175162 6
 
0.9%
35.17547729 6
 
0.9%
35.17462499 5
 
0.8%
35.156311 4
 
0.6%
35.11599111 4
 
0.6%
35.13698252 4
 
0.6%
35.19175955 4
 
0.6%
Other values (549) 602
91.4%
ValueCountFrequency (%)
35.02301379 1
0.2%
35.05161163 1
0.2%
35.05163237 1
0.2%
35.05736224 1
0.2%
35.06291734 1
0.2%
35.06848568 1
0.2%
35.07317131 1
0.2%
35.07343515 2
0.3%
35.07451397 1
0.2%
35.07643263 1
0.2%
ValueCountFrequency (%)
35.36922481 1
0.2%
35.33652741 1
0.2%
35.3355407 1
0.2%
35.33082087 1
0.2%
35.32852553 1
0.2%
35.32716434 2
0.3%
35.32681862 2
0.3%
35.32553802 1
0.2%
35.32491846 1
0.2%
35.32120444 1
0.2%

경도
Real number (ℝ)

Distinct559
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.06324
Minimum128.80959
Maximum129.28521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T20:19:07.911978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.80959
5-th percentile128.95414
Q1129.01787
median129.06795
Q3129.10927
95-th percentile129.20013
Maximum129.28521
Range0.475621
Interquartile range (IQR)0.09139955

Descriptive statistics

Standard deviation0.073044061
Coefficient of variation (CV)0.0005659556
Kurtosis0.88707078
Mean129.06324
Median Absolute Deviation (MAD)0.0441644
Skewness0.041231862
Sum85052.673
Variance0.0053354349
MonotonicityNot monotonic
2023-12-12T20:19:08.198225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1254057 11
 
1.7%
128.9861427 7
 
1.1%
129.0669041 6
 
0.9%
129.124507 6
 
0.9%
129.1264655 6
 
0.9%
129.1270026 5
 
0.8%
129.0640461 4
 
0.6%
129.0894325 4
 
0.6%
129.1006196 4
 
0.6%
129.1538448 4
 
0.6%
Other values (549) 602
91.4%
ValueCountFrequency (%)
128.8095912 1
0.2%
128.8421874 1
0.2%
128.8578441 1
0.2%
128.8627312 2
0.3%
128.8640954 1
0.2%
128.8719903 1
0.2%
128.8727268 2
0.3%
128.8747981 1
0.2%
128.8779544 1
0.2%
128.8780095 1
0.2%
ValueCountFrequency (%)
129.2852122 1
0.2%
129.2849228 1
0.2%
129.2826961 2
0.3%
129.2823936 2
0.3%
129.2603272 1
0.2%
129.2572771 1
0.2%
129.2561812 1
0.2%
129.2555332 1
0.2%
129.2545807 1
0.2%
129.2437652 1
0.2%

등록일자
Date

Distinct602
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum1971-11-27 00:00:00
Maximum2022-12-29 00:00:00
2023-12-12T20:19:08.430820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:19:08.678617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T20:18:59.734321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:58.618540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:59.217502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:59.885868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:58.792330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:59.397406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:19:00.056039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:58.998911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:18:59.567237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:19:08.845329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호위도경도
등록번호1.0000.0000.000
위도0.0001.0000.802
경도0.0000.8021.000
2023-12-12T20:19:08.960387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호위도경도
등록번호1.0000.011-0.064
위도0.0111.0000.415
경도-0.0640.4151.000

Missing values

2023-12-12T20:19:00.292698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:19:00.536999image/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.
2023-12-12T20:19:00.729743image/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

등록번호상호대표자전화번호팩스번호주소위도경도등록일자
0510707㈜진민전력최민희051-714-5010051-755-0445부산광역시 해운대구 선수촌로208번길 97(반여동)35.212511129.1298332022-12-29
1510706해진건설 주식회사이상호051-740-6464051-740-6462부산광역시 해운대구 해운대해변로 203, 오션타워 728호(우동)35.158787129.1538062022-12-23
2510705주식회사 대호전력김찬용051-631-3117051-631-3119부산광역시 부산진구 신암로 137, 3층(범천동)35.15257129.0496312022-11-18
3510704주식회사 리더캠강영덕051-974-6502051-974-6501부산광역시 강서구 평강로385번길 32, 1층(대저1동)35.219594128.9474292022-11-15
4510703주식회사 포앤텍임광춘051-301-6566051-904-0061부산광역시 금정구 개좌로 15, 비동(서동)35.215365129.1087292022-11-07
5510431오앤피박창식051-714-1080<NA>부산광역시 영도구 태종로 59, 4층 403호(대교동1가)35.093277129.0380122022-10-31
6510702주식회사 이정이앤씨박해복051-441-9070051-441-9089부산광역시 부산진구 자유평화로37번길 67, 3층 301호(범천동, 두산위브센티움)35.144248129.0622762022-10-27
7510701신화에스앤씨장숙경051-817-9938<NA>부산광역시 부산진구 동평로235번길 15(연지동)35.170736129.0524112022-10-25
8510700주식회사 케이씨트로닉스최경식051-326-7119<NA>부산광역시 사상구 학감대로 257, 보생빌딩 에이동 3층 307호(감전동)35.153954128.9902062022-10-18
9510699주식회사 엠바이지강석원051-415-0970<NA>부산광역시 영도구 남항서로 42, 우진공업사 3층(남항동3가)35.085077129.0355722022-10-14
등록번호상호대표자전화번호팩스번호주소위도경도등록일자
649120020(주)우성통신우순현051-751-4100051-751-4300부산 수영구 수영로 687 , (광안동)35.166968129.1147671979-10-01
650120023(주)중앙전자통신장세일051-816-4949051-818-1210부산 수영구 수영로 668 , 807호 (광안동)35.165289129.1150741979-09-15
651120206성창통신(주)전주환051-808-0202051-804-1472부산 동래구 충렬대로 114, 듀오빌 401호,402호(온천동)35.206223129.0731979-08-01
652120155(주)명신하이넷윤명생051-644-3500051-644-3900부산 수영구 연수로379번길 19 (수영동)35.170808129.1118891979-03-20
653120072삼영이엔씨(주)황재우051-601-5541051-413-4446부산광역시 영도구 상리로 69 (동삼동)35.085876129.0711351977-10-10
654120132(주)동영이엔티김철민051-804-7801051-804-7805부산 부산진구 서전로10번길 28 , 제11층 제1101호 (부전동)35.156744129.0598921977-08-06
655120157(주)티.이.씨박병기051-635-0482051-644-0482부산 남구 전포대로 46-2 , (문현동)35.140897129.0671371977-02-28
656120062(합)서전텔콤양석진051-620-0031051-620-0090부산 해운대구 센텀5로 41 , 4층 (우동)35.172257129.130561977-02-28
657120073(주)사라콤고진호051-600-9000051-600-9090부산 영도구 남항서로 6-11(남항동3가)35.082999129.0382871972-01-13
658120323(합명)흥일통신공업사장도수051-865-1050051-865-2249부산 해운대구 양운로 59 11층 1105호35.168516129.1759641971-11-27

Duplicate rows

Most frequently occurring

등록번호상호대표자전화번호팩스번호주소위도경도등록일자# duplicates
0550281주식회사 케이엔강기주055-533-3001055-532-3470부산 강서구 신호산단1로 76, 504호(신호동, 경희빌딩)35.082259128.8727272016-11-292