Overview

Dataset statistics

Number of variables10
Number of observations110
Missing cells142
Missing cells (%)12.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory83.2 B

Variable types

Text4
DateTime2
Numeric2
Categorical2

Dataset

Description부산광역시_동래구_출판사현황_20220822
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 2 (1.8%) missing valuesMissing
사업체소재지(지번) has 11 (10.0%) missing valuesMissing
우편번호 has 29 (26.4%) missing valuesMissing
변경일자 has 12 (10.9%) missing valuesMissing
시설면적(제곱미터) has 88 (80.0%) missing valuesMissing
신고(등록)번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:57:32.530856
Analysis finished2023-12-10 16:57:34.786204
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신고(등록)번호
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-11T01:57:34.993831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters1870
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

Unique110 ?
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
 
0.9%
25100-2017-000017 1
 
0.9%
25100-2019-000006 1
 
0.9%
25100-2019-000003 1
 
0.9%
25100-2019-000002 1
 
0.9%
25100-2018-000010 1
 
0.9%
25100-2018-000008 1
 
0.9%
25100-2018-000007 1
 
0.9%
25100-2018-000006 1
 
0.9%
25100-2018-000005 1
 
0.9%
Other values (100) 100
90.9%
2023-12-11T01:57:35.479640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 901
48.2%
2 277
 
14.8%
1 220
 
11.8%
- 220
 
11.8%
5 132
 
7.1%
7 26
 
1.4%
3 24
 
1.3%
6 21
 
1.1%
9 19
 
1.0%
8 18
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1650
88.2%
Dash Punctuation 220
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 901
54.6%
2 277
 
16.8%
1 220
 
13.3%
5 132
 
8.0%
7 26
 
1.6%
3 24
 
1.5%
6 21
 
1.3%
9 19
 
1.2%
8 18
 
1.1%
4 12
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1870
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 901
48.2%
2 277
 
14.8%
1 220
 
11.8%
- 220
 
11.8%
5 132
 
7.1%
7 26
 
1.4%
3 24
 
1.3%
6 21
 
1.1%
9 19
 
1.0%
8 18
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 901
48.2%
2 277
 
14.8%
1 220
 
11.8%
- 220
 
11.8%
5 132
 
7.1%
7 26
 
1.4%
3 24
 
1.3%
6 21
 
1.1%
9 19
 
1.0%
8 18
 
1.0%

신고일자
Date

Distinct107
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1012.0 B
Minimum1997-01-03 00:00:00
Maximum2022-06-24 00:00:00
2023-12-11T01:57:35.726831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:35.964628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업체명
Text

Distinct109
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-11T01:57:36.428020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length6.9
Min length2

Characters and Unicode

Total characters759
Distinct characters251
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)98.2%

Sample

1st row광명출판사
2nd row좋은 이웃출판사
3rd row청화학술원(주)
4th row순음악연구소
5th row근본불교출판부
ValueCountFrequency (%)
도서출판 10
 
6.7%
주식회사 7
 
4.7%
출판사 2
 
1.3%
청화학술원(주 2
 
1.3%
디자인 1
 
0.7%
정성재 1
 
0.7%
세이프웨이(safeway 1
 
0.7%
함향 1
 
0.7%
세이브 1
 
0.7%
자화망 1
 
0.7%
Other values (122) 122
81.9%
2023-12-11T01:57:37.095752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
5.1%
사 23
 
3.0%
판 22
 
2.9%
출 22
 
2.9%
주 17
 
2.2%
인 15
 
2.0%
이 15
 
2.0%
교 14
 
1.8%
스 13
 
1.7%
도 13
 
1.7%
Other values (241) 566
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 631
83.1%
Space Separator 39
 
5.1%
Lowercase Letter 39
 
5.1%
Uppercase Letter 21
 
2.8%
Open Punctuation 13
 
1.7%
Close Punctuation 13
 
1.7%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 23
 
3.6%
판 22
 
3.5%
출 22
 
3.5%
주 17
 
2.7%
인 15
 
2.4%
이 15
 
2.4%
교 14
 
2.2%
스 13
 
2.1%
도 13
 
2.1%
서 12
 
1.9%
Other values (207) 465
73.7%
Lowercase Letter
ValueCountFrequency (%)
t 5
12.8%
a 5
12.8%
o 4
10.3%
s 4
10.3%
i 4
10.3%
n 3
7.7%
l 2
 
5.1%
u 2
 
5.1%
r 2
 
5.1%
y 1
 
2.6%
Other values (7) 7
17.9%
Uppercase Letter
ValueCountFrequency (%)
P 4
19.0%
A 3
14.3%
E 3
14.3%
S 2
9.5%
R 2
9.5%
M 2
9.5%
D 1
 
4.8%
L 1
 
4.8%
T 1
 
4.8%
I 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 627
82.6%
Common 68
 
9.0%
Latin 60
 
7.9%
Han 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 23
 
3.7%
판 22
 
3.5%
출 22
 
3.5%
주 17
 
2.7%
인 15
 
2.4%
이 15
 
2.4%
교 14
 
2.2%
스 13
 
2.1%
도 13
 
2.1%
서 12
 
1.9%
Other values (203) 461
73.5%
Latin
ValueCountFrequency (%)
t 5
 
8.3%
a 5
 
8.3%
o 4
 
6.7%
P 4
 
6.7%
s 4
 
6.7%
i 4
 
6.7%
n 3
 
5.0%
A 3
 
5.0%
E 3
 
5.0%
l 2
 
3.3%
Other values (18) 23
38.3%
Common
ValueCountFrequency (%)
39
57.4%
( 13
 
19.1%
) 13
 
19.1%
- 1
 
1.5%
' 1
 
1.5%
& 1
 
1.5%
Han
ValueCountFrequency (%)
敎 1
25.0%
育 1
25.0%
才 1
25.0%
英 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 627
82.6%
ASCII 128
 
16.9%
CJK 4
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
30.5%
( 13
 
10.2%
) 13
 
10.2%
t 5
 
3.9%
a 5
 
3.9%
o 4
 
3.1%
P 4
 
3.1%
s 4
 
3.1%
i 4
 
3.1%
n 3
 
2.3%
Other values (24) 34
26.6%
Hangul
ValueCountFrequency (%)
사 23
 
3.7%
판 22
 
3.5%
출 22
 
3.5%
주 17
 
2.7%
인 15
 
2.4%
이 15
 
2.4%
교 14
 
2.2%
스 13
 
2.1%
도 13
 
2.1%
서 12
 
1.9%
Other values (203) 461
73.5%
CJK
ValueCountFrequency (%)
敎 1
25.0%
育 1
25.0%
才 1
25.0%
英 1
25.0%

사업체소재지(도로명)
Text

MISSING 

Distinct106
Distinct (%)98.1%
Missing2
Missing (%)1.8%
Memory size1012.0 B
2023-12-11T01:57:37.641362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length45.5
Mean length34.185185
Min length22

Characters and Unicode

Total characters3692
Distinct characters159
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)96.3%

Sample

1st row부산광역시 동래구 아시아드대로247번길 10 (온천동)
2nd row부산광역시 동래구 여고로 1, 3층 (사직동)
3rd row부산광역시 동래구 우장춘로63번길 13, 402호 (온천동,삼안리젠시2차)
4th row부산광역시 동래구 아시아드대로247번길 10 (온천동)
5th row부산광역시 동래구 명륜로 61, 302호 (수안동,용호빌딩)
ValueCountFrequency (%)
부산광역시 108
 
16.1%
동래구 108
 
16.1%
사직동 32
 
4.8%
온천동 24
 
3.6%
안락동 16
 
2.4%
2층 12
 
1.8%
수안동 10
 
1.5%
충렬대로 6
 
0.9%
1층 6
 
0.9%
14 5
 
0.7%
Other values (274) 345
51.3%
2023-12-11T01:57:38.339257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
589
 
16.0%
동 245
 
6.6%
1 140
 
3.8%
시 121
 
3.3%
) 113
 
3.1%
( 113
 
3.1%
2 112
 
3.0%
래 111
 
3.0%
산 111
 
3.0%
부 109
 
3.0%
Other values (149) 1928
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2088
56.6%
Decimal Number 639
 
17.3%
Space Separator 589
 
16.0%
Close Punctuation 113
 
3.1%
Open Punctuation 113
 
3.1%
Other Punctuation 109
 
3.0%
Dash Punctuation 21
 
0.6%
Uppercase Letter 15
 
0.4%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 245
 
11.7%
시 121
 
5.8%
래 111
 
5.3%
산 111
 
5.3%
부 109
 
5.2%
광 108
 
5.2%
역 108
 
5.2%
구 108
 
5.2%
로 108
 
5.2%
길 63
 
3.0%
Other values (122) 896
42.9%
Decimal Number
ValueCountFrequency (%)
1 140
21.9%
2 112
17.5%
0 84
13.1%
3 65
10.2%
4 49
 
7.7%
7 48
 
7.5%
6 43
 
6.7%
5 34
 
5.3%
9 32
 
5.0%
8 32
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
K 4
26.7%
S 4
26.7%
U 2
13.3%
H 2
13.3%
B 2
13.3%
Y 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
o 1
20.0%
v 1
20.0%
i 1
20.0%
l 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 108
99.1%
· 1
 
0.9%
Space Separator
ValueCountFrequency (%)
589
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2088
56.6%
Common 1584
42.9%
Latin 20
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 245
 
11.7%
시 121
 
5.8%
래 111
 
5.3%
산 111
 
5.3%
부 109
 
5.2%
광 108
 
5.2%
역 108
 
5.2%
구 108
 
5.2%
로 108
 
5.2%
길 63
 
3.0%
Other values (122) 896
42.9%
Common
ValueCountFrequency (%)
589
37.2%
1 140
 
8.8%
) 113
 
7.1%
( 113
 
7.1%
2 112
 
7.1%
, 108
 
6.8%
0 84
 
5.3%
3 65
 
4.1%
4 49
 
3.1%
7 48
 
3.0%
Other values (6) 163
 
10.3%
Latin
ValueCountFrequency (%)
K 4
20.0%
S 4
20.0%
U 2
10.0%
H 2
10.0%
B 2
10.0%
e 1
 
5.0%
o 1
 
5.0%
v 1
 
5.0%
Y 1
 
5.0%
i 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2088
56.6%
ASCII 1603
43.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
589
36.7%
1 140
 
8.7%
) 113
 
7.0%
( 113
 
7.0%
2 112
 
7.0%
, 108
 
6.7%
0 84
 
5.2%
3 65
 
4.1%
4 49
 
3.1%
7 48
 
3.0%
Other values (16) 182
 
11.4%
Hangul
ValueCountFrequency (%)
동 245
 
11.7%
시 121
 
5.8%
래 111
 
5.3%
산 111
 
5.3%
부 109
 
5.2%
광 108
 
5.2%
역 108
 
5.2%
구 108
 
5.2%
로 108
 
5.2%
길 63
 
3.0%
Other values (122) 896
42.9%
None
ValueCountFrequency (%)
· 1
100.0%

사업체소재지(지번)
Text

MISSING 

Distinct97
Distinct (%)98.0%
Missing11
Missing (%)10.0%
Memory size1012.0 B
2023-12-11T01:57:38.712966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length25.232323
Min length18

Characters and Unicode

Total characters2498
Distinct characters135
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)96.0%

Sample

1st row부산광역시 동래구 온천동 1281
2nd row부산광역시 동래구 수안동 469-3
3rd row부산광역시 동래구 사직동 101-1 3층
4th row부산광역시 동래구 온천동 1039-6 삼안리젠시2차 402호
5th row부산광역시 동래구 온천동 1281
ValueCountFrequency (%)
부산광역시 99
20.3%
동래구 99
20.3%
사직동 30
 
6.2%
온천동 24
 
4.9%
안락동 18
 
3.7%
수안동 12
 
2.5%
명륜동 5
 
1.0%
낙민동 5
 
1.0%
2층 4
 
0.8%
명장동 4
 
0.8%
Other values (179) 187
38.4%
2023-12-11T01:57:39.544287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
466
18.7%
동 215
 
8.6%
1 127
 
5.1%
래 101
 
4.0%
시 101
 
4.0%
산 100
 
4.0%
부 100
 
4.0%
역 99
 
4.0%
구 99
 
4.0%
광 99
 
4.0%
Other values (125) 991
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1388
55.6%
Decimal Number 537
 
21.5%
Space Separator 466
 
18.7%
Dash Punctuation 84
 
3.4%
Uppercase Letter 7
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Lowercase Letter 5
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 215
15.5%
래 101
 
7.3%
시 101
 
7.3%
산 100
 
7.2%
부 100
 
7.2%
역 99
 
7.1%
구 99
 
7.1%
광 99
 
7.1%
사 36
 
2.6%
직 36
 
2.6%
Other values (100) 402
29.0%
Decimal Number
ValueCountFrequency (%)
1 127
23.6%
2 73
13.6%
0 60
11.2%
4 53
9.9%
5 50
 
9.3%
3 43
 
8.0%
6 42
 
7.8%
9 38
 
7.1%
7 31
 
5.8%
8 20
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
K 2
28.6%
B 1
14.3%
H 1
14.3%
U 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
l 1
20.0%
e 1
20.0%
v 1
20.0%
i 1
20.0%
o 1
20.0%
Space Separator
ValueCountFrequency (%)
466
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1388
55.6%
Common 1098
44.0%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 215
15.5%
래 101
 
7.3%
시 101
 
7.3%
산 100
 
7.2%
부 100
 
7.2%
역 99
 
7.1%
구 99
 
7.1%
광 99
 
7.1%
사 36
 
2.6%
직 36
 
2.6%
Other values (100) 402
29.0%
Common
ValueCountFrequency (%)
466
42.4%
1 127
 
11.6%
- 84
 
7.7%
2 73
 
6.6%
0 60
 
5.5%
4 53
 
4.8%
5 50
 
4.6%
3 43
 
3.9%
6 42
 
3.8%
9 38
 
3.5%
Other values (5) 62
 
5.6%
Latin
ValueCountFrequency (%)
S 2
16.7%
K 2
16.7%
l 1
8.3%
e 1
8.3%
v 1
8.3%
i 1
8.3%
o 1
8.3%
B 1
8.3%
H 1
8.3%
U 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1388
55.6%
ASCII 1109
44.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
466
42.0%
1 127
 
11.5%
- 84
 
7.6%
2 73
 
6.6%
0 60
 
5.4%
4 53
 
4.8%
5 50
 
4.5%
3 43
 
3.9%
6 42
 
3.8%
9 38
 
3.4%
Other values (14) 73
 
6.6%
Hangul
ValueCountFrequency (%)
동 215
15.5%
래 101
 
7.3%
시 101
 
7.3%
산 100
 
7.2%
부 100
 
7.2%
역 99
 
7.1%
구 99
 
7.1%
광 99
 
7.1%
사 36
 
2.6%
직 36
 
2.6%
Other values (100) 402
29.0%
None
ValueCountFrequency (%)
· 1
100.0%

우편번호
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)85.2%
Missing29
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean151524.21
Minimum47704
Maximum607834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:57:39.804078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47704
5-th percentile47710
Q147798
median47856
Q347897
95-th percentile607825
Maximum607834
Range560130
Interquartile range (IQR)99

Descriptive statistics

Standard deviation218884.71
Coefficient of variation (CV)1.4445528
Kurtosis0.74568428
Mean151524.21
Median Absolute Deviation (MAD)44
Skewness1.6516306
Sum12273461
Variance4.7910518 × 1010
MonotonicityNot monotonic
2023-12-11T01:57:40.119804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47877 3
 
2.7%
607817 3
 
2.7%
47837 2
 
1.8%
47889 2
 
1.8%
607833 2
 
1.8%
47710 2
 
1.8%
47833 2
 
1.8%
47744 2
 
1.8%
47835 2
 
1.8%
607823 2
 
1.8%
Other values (59) 59
53.6%
(Missing) 29
26.4%
ValueCountFrequency (%)
47704 1
0.9%
47708 1
0.9%
47709 1
0.9%
47710 2
1.8%
47711 1
0.9%
47712 1
0.9%
47713 1
0.9%
47715 1
0.9%
47717 1
0.9%
47720 1
0.9%
ValueCountFrequency (%)
607834 1
 
0.9%
607833 2
1.8%
607832 1
 
0.9%
607825 1
 
0.9%
607823 2
1.8%
607820 1
 
0.9%
607817 3
2.7%
607816 1
 
0.9%
607813 1
 
0.9%
607786 1
 
0.9%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
영업중
110 

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 110
100.0%

Length

2023-12-11T01:57:40.393034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:40.571067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 110
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
출판사
110 

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 110
100.0%

Length

2023-12-11T01:57:40.740298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:40.956151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 110
100.0%

변경일자
Date

MISSING 

Distinct93
Distinct (%)94.9%
Missing12
Missing (%)10.9%
Memory size1012.0 B
Minimum2003-05-12 00:00:00
Maximum2022-06-24 00:00:00
2023-12-11T01:57:41.185237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:41.461118image/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%
Missing88
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean124.35182
Minimum0
Maximum999.35
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:57:41.689732image/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
2023-12-11T01:57:41.913847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 1
 
0.9%
139.3 1
 
0.9%
54.98 1
 
0.9%
59.5 1
 
0.9%
69.15 1
 
0.9%
25.0 1
 
0.9%
10.44 1
 
0.9%
152.21 1
 
0.9%
208.55 1
 
0.9%
8.1 1
 
0.9%
Other values (12) 12
 
10.9%
(Missing) 88
80.0%
ValueCountFrequency (%)
0.0 1
0.9%
5.0 1
0.9%
8.1 1
0.9%
10.44 1
0.9%
25.0 1
0.9%
33.6 1
0.9%
50.0 1
0.9%
54.98 1
0.9%
59.5 1
0.9%
65.38 1
0.9%
ValueCountFrequency (%)
999.35 1
0.9%
264.0 1
0.9%
208.55 1
0.9%
176.56 1
0.9%
152.21 1
0.9%
139.3 1
0.9%
99.17 1
0.9%
85.18 1
0.9%
79.17 1
0.9%
77.0 1
0.9%

Interactions

2023-12-11T01:57:33.929759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:33.674819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:34.066791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:33.810932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:57:42.043587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업체소재지(지번)우편번호변경일자시설면적(제곱미터)
사업체소재지(지번)1.0001.0000.9961.000
우편번호1.0001.0001.0000.000
변경일자0.9961.0001.0001.000
시설면적(제곱미터)1.0000.0001.0001.000
2023-12-11T01:57:42.209604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호시설면적(제곱미터)
우편번호1.000-0.154
시설면적(제곱미터)-0.1541.000

Missing values

2023-12-11T01:57:34.244372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:57:34.507490image/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.
2023-12-11T01:57:34.682533image/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>
325100-2000-0000032000-03-29순음악연구소부산광역시 동래구 우장춘로63번길 13, 402호 (온천동,삼안리젠시2차)부산광역시 동래구 온천동 1039-6 삼안리젠시2차 402호<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>
725100-2001-0000052001-10-22장애인 사랑부산광역시 동래구 여고북로 212-5 (사직동)부산광역시 동래구 사직동 142-29<NA>영업중출판사<NA><NA>
825100-2001-0000062001-11-13세길교육부산광역시 동래구 충렬대로 298 (낙민동,현대전기빌딩 2층)부산광역시 동래구 낙민동 198-14 현대전기빌딩 2층<NA>영업중출판사<NA><NA>
925100-2002-0000072002-11-02미남부산광역시 동래구 아시아드대로 127 (사직동)부산광역시 동래구 사직동 100-7<NA>영업중출판사<NA><NA>
신고(등록)번호신고일자사업체명사업체소재지(도로명)사업체소재지(지번)우편번호영업상태업종변경일자시설면적(제곱미터)
10025100-2021-0000122021-11-18아트팰리움 미술센터부산광역시 동래구 쇠미로 37, 상가동 동 409호 (사직동, 삼정그린코아)부산광역시 동래구 사직동 981-100 삼정그린코아 상가동동 409호47873영업중출판사2021-11-25<NA>
10125100-2021-0000132021-12-31도서출판 서현부산광역시 동래구 아시아드대로134번길 14, 105동 702호 (사직동, 쌍용더플래티넘사직아시아드아파트)부산광역시 동래구 사직동 1058 쌍용더플래티넘사직아시아드아파트 105동 702호47844영업중출판사2021-12-31<NA>
10225100-2022-0000012022-01-20주식회사 코쓰드부산광역시 동래구 시실로24번길 12 (명륜동)부산광역시 동래구 명륜동 7-1047744영업중출판사2022-01-20<NA>
10325100-2022-0000022022-01-28파란융합과학부산광역시 동래구 온천천로253번길 14, 2층 (수안동)부산광역시 동래구 수안동 11-1847820영업중출판사2022-01-28139.3
10425100-2022-0000032022-01-28온마음부산광역시 동래구 안연로 80, 3층 (안락동)부산광역시 동래구 안락동 721-447894영업중출판사2022-01-28<NA>
10525100-2022-0000042022-02-17주식회사 온오프디자인부산광역시 동래구 중앙대로1267번길 80, 2층 (사직동)부산광역시 동래구 사직동 149-2347830영업중출판사2022-02-17<NA>
10625100-2022-0000052022-02-24부전교회비전센터슈브부산광역시 동래구 중앙대로 1276, 부전교회 (사직동)부산광역시 동래구 사직동 3-1 부전교회47833영업중출판사2022-02-24<NA>
10725100-2022-0000062022-03-11(주)마이스테이션부산광역시 동래구 온천천로 551, 2층 (안락동)부산광역시 동래구 안락동 180-3647905영업중출판사2022-03-11<NA>
10825100-2022-0000072016-11-22윈저북스부산광역시 동래구 금강공원로 2, 1616호 (온천동, 온천장 SK HUB olive)부산광역시 동래구 온천동 161-1 온천장 SK HUB olive 1616호47710영업중출판사2022-03-11<NA>
10925100-2022-0000082022-06-24나나프로덕션부산광역시 동래구 쇠미로81번길 33, 104동 301호 (사직동, 한신아파트)부산광역시 동래구 사직동 597 한신아파트47872영업중출판사2022-06-24<NA>