Overview

Dataset statistics

Number of variables10
Number of observations119
Missing cells212
Missing cells (%)17.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory83.1 B

Variable types

Text4
DateTime2
Numeric2
Categorical2

Dataset

Description부산광역시_동래구_출판사현황_20230906
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3080995

Alerts

영업상태 has constant value ""Constant
업종 has constant value ""Constant
사업체소재지(도로명) has 40 (33.6%) missing valuesMissing
사업체소재지(지번) has 6 (5.0%) missing valuesMissing
우편번호 has 58 (48.7%) missing valuesMissing
변경일자 has 11 (9.2%) missing valuesMissing
시설면적(제곱미터) has 97 (81.5%) missing valuesMissing
신고(등록)번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:57:23.662281
Analysis finished2023-12-10 16:57:25.186665
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신고(등록)번호
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:57:25.387545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters2023
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

Unique119 ?
Unique (%)100.0%

Sample

1st row25100-1997-000001
2nd row25100-1999-000001
3rd row25100-1999-000008
4th row25100-2000-000003
5th row25100-2000-000008
ValueCountFrequency (%)
25100-1997-000001 1
 
0.8%
25100-2021-000005 1
 
0.8%
25100-2021-000002 1
 
0.8%
25100-2020-000011 1
 
0.8%
25100-2020-000009 1
 
0.8%
25100-2020-000008 1
 
0.8%
25100-2020-000007 1
 
0.8%
25100-2020-000006 1
 
0.8%
25100-2020-000005 1
 
0.8%
25100-2020-000004 1
 
0.8%
Other values (109) 109
91.6%
2023-12-11T01:57:25.789351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 969
47.9%
2 308
 
15.2%
- 238
 
11.8%
1 232
 
11.5%
5 141
 
7.0%
3 34
 
1.7%
7 27
 
1.3%
6 22
 
1.1%
9 20
 
1.0%
8 19
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1785
88.2%
Dash Punctuation 238
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 969
54.3%
2 308
 
17.3%
1 232
 
13.0%
5 141
 
7.9%
3 34
 
1.9%
7 27
 
1.5%
6 22
 
1.2%
9 20
 
1.1%
8 19
 
1.1%
4 13
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2023
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 969
47.9%
2 308
 
15.2%
- 238
 
11.8%
1 232
 
11.5%
5 141
 
7.0%
3 34
 
1.7%
7 27
 
1.3%
6 22
 
1.1%
9 20
 
1.0%
8 19
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2023
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 969
47.9%
2 308
 
15.2%
- 238
 
11.8%
1 232
 
11.5%
5 141
 
7.0%
3 34
 
1.7%
7 27
 
1.3%
6 22
 
1.1%
9 20
 
1.0%
8 19
 
0.9%

신고일자
Date

Distinct116
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1997-01-03 00:00:00
Maximum2023-08-14 00:00:00
2023-12-11T01:57:26.000081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:26.146323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업체명
Text

Distinct118
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:57:26.408305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length6.7563025
Min length1

Characters and Unicode

Total characters804
Distinct characters266
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)98.3%

Sample

1st row광명출판사
2nd row좋은 이웃출판사
3rd row청화학술원(주)
4th row순음악연구소
5th row근본불교출판부
ValueCountFrequency (%)
도서출판 10
 
6.2%
주식회사 7
 
4.4%
청화학술원(주 2
 
1.2%
출판사 2
 
1.2%
자연속맨발이 1
 
0.6%
올더베스트 1
 
0.6%
음식나라 1
 
0.6%
영재과학연구소 1
 
0.6%
조은디자인 1
 
0.6%
표현 1
 
0.6%
Other values (133) 133
83.1%
2023-12-11T01:57:26.871258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
5.1%
사 22
 
2.7%
판 22
 
2.7%
출 22
 
2.7%
주 17
 
2.1%
이 15
 
1.9%
교 15
 
1.9%
스 14
 
1.7%
) 13
 
1.6%
( 13
 
1.6%
Other values (256) 610
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 665
82.7%
Lowercase Letter 48
 
6.0%
Space Separator 41
 
5.1%
Uppercase Letter 22
 
2.7%
Close Punctuation 13
 
1.6%
Open Punctuation 13
 
1.6%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 22
 
3.3%
판 22
 
3.3%
출 22
 
3.3%
주 17
 
2.6%
이 15
 
2.3%
교 15
 
2.3%
스 14
 
2.1%
도 13
 
2.0%
인 13
 
2.0%
서 12
 
1.8%
Other values (221) 500
75.2%
Lowercase Letter
ValueCountFrequency (%)
n 5
10.4%
a 5
10.4%
t 5
10.4%
o 5
10.4%
r 4
8.3%
s 4
8.3%
u 3
 
6.2%
i 3
 
6.2%
d 3
 
6.2%
l 2
 
4.2%
Other values (8) 9
18.8%
Uppercase Letter
ValueCountFrequency (%)
P 4
18.2%
A 3
13.6%
E 3
13.6%
M 2
9.1%
R 2
9.1%
S 2
9.1%
D 1
 
4.5%
U 1
 
4.5%
I 1
 
4.5%
L 1
 
4.5%
Other values (2) 2
9.1%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 661
82.2%
Latin 70
 
8.7%
Common 69
 
8.6%
Han 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 22
 
3.3%
판 22
 
3.3%
출 22
 
3.3%
주 17
 
2.6%
이 15
 
2.3%
교 15
 
2.3%
스 14
 
2.1%
도 13
 
2.0%
인 13
 
2.0%
서 12
 
1.8%
Other values (217) 496
75.0%
Latin
ValueCountFrequency (%)
n 5
 
7.1%
a 5
 
7.1%
t 5
 
7.1%
o 5
 
7.1%
P 4
 
5.7%
r 4
 
5.7%
s 4
 
5.7%
u 3
 
4.3%
i 3
 
4.3%
A 3
 
4.3%
Other values (20) 29
41.4%
Common
ValueCountFrequency (%)
41
59.4%
) 13
 
18.8%
( 13
 
18.8%
' 1
 
1.4%
& 1
 
1.4%
Han
ValueCountFrequency (%)
英 1
25.0%
才 1
25.0%
敎 1
25.0%
育 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 661
82.2%
ASCII 139
 
17.3%
CJK 4
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
29.5%
) 13
 
9.4%
( 13
 
9.4%
n 5
 
3.6%
a 5
 
3.6%
t 5
 
3.6%
o 5
 
3.6%
P 4
 
2.9%
r 4
 
2.9%
s 4
 
2.9%
Other values (25) 40
28.8%
Hangul
ValueCountFrequency (%)
사 22
 
3.3%
판 22
 
3.3%
출 22
 
3.3%
주 17
 
2.6%
이 15
 
2.3%
교 15
 
2.3%
스 14
 
2.1%
도 13
 
2.0%
인 13
 
2.0%
서 12
 
1.8%
Other values (217) 496
75.0%
CJK
ValueCountFrequency (%)
英 1
25.0%
才 1
25.0%
敎 1
25.0%
育 1
25.0%

사업체소재지(도로명)
Text

MISSING 

Distinct77
Distinct (%)97.5%
Missing40
Missing (%)33.6%
Memory size1.1 KiB
2023-12-11T01:57:27.284305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length30.265823
Min length22

Characters and Unicode

Total characters2391
Distinct characters118
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)94.9%

Sample

1st row부산광역시 동래구 아시아드대로247번길 10 (온천동)
2nd row부산광역시 동래구 여고로 1, 3층 (사직동)
3rd row부산광역시 동래구 아시아드대로247번길 10 (온천동)
4th row부산광역시 동래구 명륜로 61, 302호 (수안동,용호빌딩)
5th row부산광역시 동래구 반송로239번길 9 (안락동)
ValueCountFrequency (%)
부산광역시 79
 
17.5%
동래구 79
 
17.5%
사직동 22
 
4.9%
온천동 18
 
4.0%
2층 11
 
2.4%
안락동 11
 
2.4%
수안동 8
 
1.8%
1층 5
 
1.1%
충렬대로 5
 
1.1%
명륜동 5
 
1.1%
Other values (169) 209
46.2%
2023-12-11T01:57:27.840240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
394
 
16.5%
동 161
 
6.7%
시 85
 
3.6%
) 84
 
3.5%
( 84
 
3.5%
1 81
 
3.4%
산 81
 
3.4%
부 80
 
3.3%
래 80
 
3.3%
구 79
 
3.3%
Other values (108) 1182
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1375
57.5%
Space Separator 394
 
16.5%
Decimal Number 374
 
15.6%
Close Punctuation 84
 
3.5%
Open Punctuation 84
 
3.5%
Other Punctuation 52
 
2.2%
Dash Punctuation 18
 
0.8%
Lowercase Letter 5
 
0.2%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 161
 
11.7%
시 85
 
6.2%
산 81
 
5.9%
부 80
 
5.8%
래 80
 
5.8%
구 79
 
5.7%
광 79
 
5.7%
역 79
 
5.7%
로 78
 
5.7%
길 46
 
3.3%
Other values (83) 527
38.3%
Decimal Number
ValueCountFrequency (%)
1 81
21.7%
2 73
19.5%
3 37
9.9%
7 32
 
8.6%
4 31
 
8.3%
0 29
 
7.8%
6 29
 
7.8%
9 22
 
5.9%
5 20
 
5.3%
8 20
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
i 1
20.0%
o 1
20.0%
v 1
20.0%
l 1
20.0%
e 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
H 1
20.0%
U 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
394
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Other Punctuation
ValueCountFrequency (%)
, 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1375
57.5%
Common 1006
42.1%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 161
 
11.7%
시 85
 
6.2%
산 81
 
5.9%
부 80
 
5.8%
래 80
 
5.8%
구 79
 
5.7%
광 79
 
5.7%
역 79
 
5.7%
로 78
 
5.7%
길 46
 
3.3%
Other values (83) 527
38.3%
Common
ValueCountFrequency (%)
394
39.2%
) 84
 
8.3%
( 84
 
8.3%
1 81
 
8.1%
2 73
 
7.3%
, 52
 
5.2%
3 37
 
3.7%
7 32
 
3.2%
4 31
 
3.1%
0 29
 
2.9%
Other values (5) 109
 
10.8%
Latin
ValueCountFrequency (%)
i 1
10.0%
o 1
10.0%
v 1
10.0%
S 1
10.0%
K 1
10.0%
H 1
10.0%
U 1
10.0%
l 1
10.0%
B 1
10.0%
e 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1375
57.5%
ASCII 1016
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
394
38.8%
) 84
 
8.3%
( 84
 
8.3%
1 81
 
8.0%
2 73
 
7.2%
, 52
 
5.1%
3 37
 
3.6%
7 32
 
3.1%
4 31
 
3.1%
0 29
 
2.9%
Other values (15) 119
 
11.7%
Hangul
ValueCountFrequency (%)
동 161
 
11.7%
시 85
 
6.2%
산 81
 
5.9%
부 80
 
5.8%
래 80
 
5.8%
구 79
 
5.7%
광 79
 
5.7%
역 79
 
5.7%
로 78
 
5.7%
길 46
 
3.3%
Other values (83) 527
38.3%

사업체소재지(지번)
Text

MISSING 

Distinct82
Distinct (%)72.6%
Missing6
Missing (%)5.0%
Memory size1.1 KiB
2023-12-11T01:57:28.256575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length19.513274
Min length13

Characters and Unicode

Total characters2205
Distinct characters95
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)67.3%

Sample

1st row부산광역시 동래구 온천동 1281
2nd row부산광역시 동래구 수안동 469-3
3rd row부산광역시 동래구 사직동 101-1 3층
4th row부산광역시 동래구 온천동
5th row부산광역시 동래구 온천동 1281
ValueCountFrequency (%)
부산광역시 113
24.7%
동래구 113
24.7%
사직동 32
 
7.0%
온천동 29
 
6.3%
안락동 18
 
3.9%
수안동 15
 
3.3%
명륜동 7
 
1.5%
낙민동 6
 
1.3%
명장동 4
 
0.9%
2층 4
 
0.9%
Other values (110) 116
25.4%
2023-12-11T01:57:28.841906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
412
18.7%
동 229
 
10.4%
부 114
 
5.2%
산 114
 
5.2%
광 113
 
5.1%
역 113
 
5.1%
시 113
 
5.1%
래 113
 
5.1%
구 113
 
5.1%
1 90
 
4.1%
Other values (85) 681
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1341
60.8%
Space Separator 412
 
18.7%
Decimal Number 361
 
16.4%
Dash Punctuation 70
 
3.2%
Lowercase Letter 6
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 229
17.1%
부 114
8.5%
산 114
8.5%
광 113
8.4%
역 113
8.4%
시 113
8.4%
래 113
8.4%
구 113
8.4%
안 34
 
2.5%
직 33
 
2.5%
Other values (60) 252
18.8%
Decimal Number
ValueCountFrequency (%)
1 90
24.9%
4 42
11.6%
2 40
11.1%
5 36
 
10.0%
3 33
 
9.1%
6 31
 
8.6%
0 28
 
7.8%
9 27
 
7.5%
7 21
 
5.8%
8 13
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
o 1
16.7%
l 1
16.7%
i 1
16.7%
v 1
16.7%
e 1
16.7%
a 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
H 1
20.0%
U 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1341
60.8%
Common 853
38.7%
Latin 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 229
17.1%
부 114
8.5%
산 114
8.5%
광 113
8.4%
역 113
8.4%
시 113
8.4%
래 113
8.4%
구 113
8.4%
안 34
 
2.5%
직 33
 
2.5%
Other values (60) 252
18.8%
Common
ValueCountFrequency (%)
412
48.3%
1 90
 
10.6%
- 70
 
8.2%
4 42
 
4.9%
2 40
 
4.7%
5 36
 
4.2%
3 33
 
3.9%
6 31
 
3.6%
0 28
 
3.3%
9 27
 
3.2%
Other values (4) 44
 
5.2%
Latin
ValueCountFrequency (%)
S 1
9.1%
K 1
9.1%
H 1
9.1%
U 1
9.1%
B 1
9.1%
o 1
9.1%
l 1
9.1%
i 1
9.1%
v 1
9.1%
e 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1341
60.8%
ASCII 864
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
412
47.7%
1 90
 
10.4%
- 70
 
8.1%
4 42
 
4.9%
2 40
 
4.6%
5 36
 
4.2%
3 33
 
3.8%
6 31
 
3.6%
0 28
 
3.2%
9 27
 
3.1%
Other values (15) 55
 
6.4%
Hangul
ValueCountFrequency (%)
동 229
17.1%
부 114
8.5%
산 114
8.5%
광 113
8.4%
역 113
8.4%
시 113
8.4%
래 113
8.4%
구 113
8.4%
안 34
 
2.5%
직 33
 
2.5%
Other values (60) 252
18.8%

우편번호
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)88.5%
Missing58
Missing (%)48.7%
Infinite0
Infinite (%)0.0%
Mean148803.23
Minimum47704
Maximum607834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:57:29.090118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47704
5-th percentile47712
Q147808
median47840
Q347891
95-th percentile607832
Maximum607834
Range560130
Interquartile range (IQR)83

Descriptive statistics

Standard deviation217086.54
Coefficient of variation (CV)1.4588833
Kurtosis0.93731426
Mean148803.23
Median Absolute Deviation (MAD)46
Skewness1.7051859
Sum9076997
Variance4.7126566 × 1010
MonotonicityNot monotonic
2023-12-11T01:57:29.285822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47877 3
 
2.5%
47744 2
 
1.7%
47833 2
 
1.7%
47835 2
 
1.7%
607817 2
 
1.7%
607833 2
 
1.7%
607823 1
 
0.8%
47866 1
 
0.8%
47818 1
 
0.8%
47817 1
 
0.8%
Other values (44) 44
37.0%
(Missing) 58
48.7%
ValueCountFrequency (%)
47704 1
0.8%
47708 1
0.8%
47710 1
0.8%
47712 1
0.8%
47713 1
0.8%
47715 1
0.8%
47717 1
0.8%
47720 1
0.8%
47744 2
1.7%
47747 1
0.8%
ValueCountFrequency (%)
607834 1
0.8%
607833 2
1.7%
607832 1
0.8%
607825 1
0.8%
607823 1
0.8%
607820 1
0.8%
607817 2
1.7%
607816 1
0.8%
607813 1
0.8%
47905 1
0.8%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
119 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 119
100.0%

Length

2023-12-11T01:57:29.432550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:29.543309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 119
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
출판사
119 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 119
100.0%

Length

2023-12-11T01:57:29.688967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:29.814929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 119
100.0%

변경일자
Date

MISSING 

Distinct103
Distinct (%)95.4%
Missing11
Missing (%)9.2%
Memory size1.1 KiB
Minimum2003-05-12 00:00:00
Maximum2023-08-14 00:00:00
2023-12-11T01:57:29.973246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:30.567142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시설면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing97
Missing (%)81.5%
Infinite0
Infinite (%)0.0%
Mean124.35182
Minimum0
Maximum999.35
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T01:57:30.762189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.155
Q137.7
median71.625
Q3129.2675
95-th percentile261.2275
Maximum999.35
Range999.35
Interquartile range (IQR)91.5675

Descriptive statistics

Standard deviation207.05325
Coefficient of variation (CV)1.6650601
Kurtosis16.793565
Mean124.35182
Median Absolute Deviation (MAD)42.325
Skewness3.9136322
Sum2735.74
Variance42871.047
MonotonicityNot monotonic
2023-12-11T01:57:30.924419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 1
 
0.8%
139.3 1
 
0.8%
54.98 1
 
0.8%
59.5 1
 
0.8%
69.15 1
 
0.8%
25.0 1
 
0.8%
10.44 1
 
0.8%
152.21 1
 
0.8%
208.55 1
 
0.8%
8.1 1
 
0.8%
Other values (12) 12
 
10.1%
(Missing) 97
81.5%
ValueCountFrequency (%)
0.0 1
0.8%
5.0 1
0.8%
8.1 1
0.8%
10.44 1
0.8%
25.0 1
0.8%
33.6 1
0.8%
50.0 1
0.8%
54.98 1
0.8%
59.5 1
0.8%
65.38 1
0.8%
ValueCountFrequency (%)
999.35 1
0.8%
264.0 1
0.8%
208.55 1
0.8%
176.56 1
0.8%
152.21 1
0.8%
139.3 1
0.8%
99.17 1
0.8%
85.18 1
0.8%
79.17 1
0.8%
77.0 1
0.8%

Interactions

2023-12-11T01:57:24.409445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:24.154435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:24.537839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:24.276845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:57:31.027071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업체소재지(도로명)사업체소재지(지번)우편번호시설면적(제곱미터)
사업체소재지(도로명)1.0001.0001.0001.000
사업체소재지(지번)1.0001.0001.0001.000
우편번호1.0001.0001.0000.000
시설면적(제곱미터)1.0001.0000.0001.000
2023-12-11T01:57:31.142169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호시설면적(제곱미터)
우편번호1.000-0.154
시설면적(제곱미터)-0.1541.000

Missing values

2023-12-11T01:57:24.696781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:57:24.899136image/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.
2023-12-11T01:57:25.068172image/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

신고(등록)번호신고일자사업체명사업체소재지(도로명)사업체소재지(지번)우편번호영업상태업종변경일자시설면적(제곱미터)
025100-1997-0000011997-01-03광명출판사부산광역시 동래구 아시아드대로247번길 10 (온천동)부산광역시 동래구 온천동 1281<NA>영업중출판사<NA><NA>
125100-1999-0000011999-01-08좋은 이웃출판사<NA>부산광역시 동래구 수안동 469-3<NA>영업중출판사<NA><NA>
225100-1999-0000081999-09-29청화학술원(주)부산광역시 동래구 여고로 1, 3층 (사직동)부산광역시 동래구 사직동 101-1 3층607817영업중출판사2005-02-14<NA>
325100-2000-0000032000-03-29순음악연구소<NA>부산광역시 동래구 온천동<NA>영업중출판사<NA><NA>
425100-2000-0000082000-10-06근본불교출판부부산광역시 동래구 아시아드대로247번길 10 (온천동)부산광역시 동래구 온천동 1281<NA>영업중출판사<NA><NA>
525100-2001-0000022001-06-12국제친선클럽부산광역시 동래구 명륜로 61, 302호 (수안동,용호빌딩)부산광역시 동래구 수안동 9-47 용호빌딩 302호<NA>영업중출판사<NA><NA>
625100-2001-0000032001-07-18(주)부영학력평가원부산광역시 동래구 반송로239번길 9 (안락동)부산광역시 동래구 안락동 419-50<NA>영업중출판사<NA><NA>
725100-2001-0000062001-11-13세길교육부산광역시 동래구 충렬대로 298 (낙민동,현대전기빌딩 2층)부산광역시 동래구 낙민동 198-14 현대전기빌딩 2층<NA>영업중출판사<NA><NA>
825100-2002-0000072002-11-02미남부산광역시 동래구 아시아드대로 127 (사직동)부산광역시 동래구 사직동 100-7<NA>영업중출판사<NA><NA>
925100-2003-0000022003-05-12영진인쇄출판사부산광역시 동래구 여고로52번길 6 (사직동)부산광역시 동래구 사직동 115-20<NA>영업중출판사2003-05-12<NA>
신고(등록)번호신고일자사업체명사업체소재지(도로명)사업체소재지(지번)우편번호영업상태업종변경일자시설면적(제곱미터)
10925100-2023-0000012021-04-08한국시니어통합교육협회<NA>부산광역시 동래구 사직동<NA>영업중출판사2023-02-07<NA>
11025100-2023-0000022023-02-07새먼스<NA>부산광역시 동래구 복천동<NA>영업중출판사2023-02-07<NA>
11125100-2023-0000032023-03-03Underground<NA>부산광역시 동래구 수안동<NA>영업중출판사2023-03-03<NA>
11225100-2023-0000042020-05-20도서출판 민리<NA>부산광역시 동래구 온천동<NA>영업중출판사2023-03-07<NA>
11325100-2023-0000052023-03-21딥 포레스트<NA>부산광역시 동래구 온천동<NA>영업중출판사2023-03-21<NA>
11425100-2023-0000062023-05-03젊수<NA>부산광역시 동래구 사직동<NA>영업중출판사2023-05-03<NA>
11525100-2023-0000072023-06-02글로씨앗<NA>부산광역시 동래구 사직동<NA>영업중출판사2023-06-02<NA>
11625100-2023-0000082023-06-05연화부산광역시 동래구 명륜로 124-1 (명륜동)부산광역시 동래구 명륜동 472-247808영업중출판사2023-06-05<NA>
11725100-2023-0000092023-07-31긍정을 파는 감자<NA>부산광역시 동래구 명륜동<NA>영업중출판사2023-07-31<NA>
11825100-2023-0000102023-08-14생각습관<NA>부산광역시 동래구 온천동<NA>영업중출판사2023-08-14<NA>