Overview

Dataset statistics

Number of variables10
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory83.3 B

Variable types

Numeric1
Categorical3
Text5
DateTime1

Dataset

Description김해시 대부(중개)업 등록현황(등록신청사업, 등록증번호, 상호, 지번주소, 도로명주소, 등록일자)에 대한 데이터 제공
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15033308

Alerts

시군구명 has constant value ""Constant
영업구분 has constant value ""Constant
순번 has unique valuesUnique
등록증번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:48:08.818063
Analysis finished2023-12-10 23:48:09.887947
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T08:48:09.960685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2023-12-11T08:48:10.133573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
경상남도 김해시
57 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 김해시
2nd row경상남도 김해시
3rd row경상남도 김해시
4th row경상남도 김해시
5th row경상남도 김해시

Common Values

ValueCountFrequency (%)
경상남도 김해시 57
100.0%

Length

2023-12-11T08:48:10.277016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:48:10.368558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 57
50.0%
김해시 57
50.0%
Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
대부업
46 
대부중개업
11 

Length

Max length5
Median length3
Mean length3.3859649
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대부중개업
2nd row대부업
3rd row대부중개업
4th row대부업
5th row대부중개업

Common Values

ValueCountFrequency (%)
대부업 46
80.7%
대부중개업 11
 
19.3%

Length

2023-12-11T08:48:10.509881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:48:10.618530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대부업 46
80.7%
대부중개업 11
 
19.3%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
영업중
57 

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 57
100.0%

Length

2023-12-11T08:48:10.716893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:48:10.802383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 57
100.0%

등록증번호
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T08:48:10.980427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length12.947368
Min length7

Characters and Unicode

Total characters738
Distinct characters16
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

Unique57 ?
Unique (%)100.0%

Sample

1st row2023-경남김해-0013
2nd row2023-경남김해-0011
3rd row2023-경남김해-0012
4th row2023-경남김해-0009
5th row2023-경남김해-0010
ValueCountFrequency (%)
2023-경남김해-0013 1
 
1.8%
21-경남김해-0010 1
 
1.8%
21-경남김해-0006 1
 
1.8%
21-경남김해-0005 1
 
1.8%
21-경남김해-0003 1
 
1.8%
20-경남김해-0010 1
 
1.8%
20-경남김해-0008 1
 
1.8%
20-경남김해-0006 1
 
1.8%
19-경남김해-0008 1
 
1.8%
2019-경남김해-0005 1
 
1.8%
Other values (47) 47
82.5%
2023-12-11T08:48:11.337307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 178
24.1%
- 108
14.6%
2 100
13.6%
57
 
7.7%
57
 
7.7%
57
 
7.7%
57
 
7.7%
1 54
 
7.3%
3 23
 
3.1%
9 9
 
1.2%
Other values (6) 38
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 398
53.9%
Other Letter 232
31.4%
Dash Punctuation 108
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 178
44.7%
2 100
25.1%
1 54
 
13.6%
3 23
 
5.8%
9 9
 
2.3%
5 9
 
2.3%
6 7
 
1.8%
8 6
 
1.5%
7 6
 
1.5%
4 6
 
1.5%
Other Letter
ValueCountFrequency (%)
57
24.6%
57
24.6%
57
24.6%
57
24.6%
4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 506
68.6%
Hangul 232
31.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 178
35.2%
- 108
21.3%
2 100
19.8%
1 54
 
10.7%
3 23
 
4.5%
9 9
 
1.8%
5 9
 
1.8%
6 7
 
1.4%
8 6
 
1.2%
7 6
 
1.2%
Hangul
ValueCountFrequency (%)
57
24.6%
57
24.6%
57
24.6%
57
24.6%
4
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 506
68.6%
Hangul 232
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 178
35.2%
- 108
21.3%
2 100
19.8%
1 54
 
10.7%
3 23
 
4.5%
9 9
 
1.8%
5 9
 
1.8%
6 7
 
1.4%
8 6
 
1.2%
7 6
 
1.2%
Hangul
ValueCountFrequency (%)
57
24.6%
57
24.6%
57
24.6%
57
24.6%
4
 
1.7%

상호
Text

Distinct53
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T08:48:11.582732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length6.6491228
Min length4

Characters and Unicode

Total characters379
Distinct characters122
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)86.0%

Sample

1st row대출시대 대부중개
2nd row정직한대부
3rd row정직한대부
4th row티케이대부
5th row티케이대부
ValueCountFrequency (%)
베스트파이넨셜대부 2
 
3.3%
sh대부 2
 
3.3%
티케이대부 2
 
3.3%
정직한대부 2
 
3.3%
대부중개 2
 
3.3%
성부론대부 1
 
1.7%
삼방대부 1
 
1.7%
김해아이티전당포대부 1
 
1.7%
머니fc대부 1
 
1.7%
스마일대부 1
 
1.7%
Other values (45) 45
75.0%
2023-12-11T08:48:11.955610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
16.1%
57
 
15.0%
13
 
3.4%
11
 
2.9%
11
 
2.9%
11
 
2.9%
9
 
2.4%
7
 
1.8%
7
 
1.8%
5
 
1.3%
Other values (112) 187
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
92.6%
Uppercase Letter 21
 
5.5%
Space Separator 3
 
0.8%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
61
 
17.4%
57
 
16.2%
13
 
3.7%
11
 
3.1%
11
 
3.1%
11
 
3.1%
9
 
2.6%
7
 
2.0%
7
 
2.0%
5
 
1.4%
Other values (98) 159
45.3%
Uppercase Letter
ValueCountFrequency (%)
S 4
19.0%
H 3
14.3%
D 2
9.5%
J 2
9.5%
M 2
9.5%
Y 2
9.5%
K 2
9.5%
F 1
 
4.8%
C 1
 
4.8%
O 1
 
4.8%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
92.6%
Latin 21
 
5.5%
Common 7
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
61
 
17.4%
57
 
16.2%
13
 
3.7%
11
 
3.1%
11
 
3.1%
11
 
3.1%
9
 
2.6%
7
 
2.0%
7
 
2.0%
5
 
1.4%
Other values (98) 159
45.3%
Latin
ValueCountFrequency (%)
S 4
19.0%
H 3
14.3%
D 2
9.5%
J 2
9.5%
M 2
9.5%
Y 2
9.5%
K 2
9.5%
F 1
 
4.8%
C 1
 
4.8%
O 1
 
4.8%
Common
ValueCountFrequency (%)
3
42.9%
( 2
28.6%
) 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
92.6%
ASCII 28
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
61
 
17.4%
57
 
16.2%
13
 
3.7%
11
 
3.1%
11
 
3.1%
11
 
3.1%
9
 
2.6%
7
 
2.0%
7
 
2.0%
5
 
1.4%
Other values (98) 159
45.3%
ASCII
ValueCountFrequency (%)
S 4
14.3%
3
10.7%
H 3
10.7%
( 2
7.1%
D 2
7.1%
J 2
7.1%
) 2
7.1%
M 2
7.1%
Y 2
7.1%
K 2
7.1%
Other values (4) 4
14.3%
Distinct51
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T08:48:12.200668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.6315789
Min length3

Characters and Unicode

Total characters207
Distinct characters96
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)78.9%

Sample

1st row진순남
2nd row한세령
3rd row한세령
4th rowNGUYEN THI HANG EM
5th rowNGUYEN THI HANG EM
ValueCountFrequency (%)
진순남 2
 
3.2%
이영숙 2
 
3.2%
김규동 2
 
3.2%
nguyen 2
 
3.2%
thi 2
 
3.2%
hang 2
 
3.2%
em 2
 
3.2%
김민수 2
 
3.2%
한세령 2
 
3.2%
김성곤 1
 
1.6%
Other values (44) 44
69.8%
2023-12-11T08:48:12.586644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
6.8%
8
 
3.9%
6
 
2.9%
6
 
2.9%
N 6
 
2.9%
6
 
2.9%
5
 
2.4%
5
 
2.4%
5
 
2.4%
4
 
1.9%
Other values (86) 142
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
82.6%
Uppercase Letter 30
 
14.5%
Space Separator 6
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
8.2%
8
 
4.7%
6
 
3.5%
6
 
3.5%
5
 
2.9%
5
 
2.9%
5
 
2.9%
4
 
2.3%
4
 
2.3%
4
 
2.3%
Other values (75) 110
64.3%
Uppercase Letter
ValueCountFrequency (%)
N 6
20.0%
G 4
13.3%
E 4
13.3%
H 4
13.3%
Y 2
 
6.7%
U 2
 
6.7%
I 2
 
6.7%
M 2
 
6.7%
A 2
 
6.7%
T 2
 
6.7%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
82.6%
Latin 30
 
14.5%
Common 6
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
8.2%
8
 
4.7%
6
 
3.5%
6
 
3.5%
5
 
2.9%
5
 
2.9%
5
 
2.9%
4
 
2.3%
4
 
2.3%
4
 
2.3%
Other values (75) 110
64.3%
Latin
ValueCountFrequency (%)
N 6
20.0%
G 4
13.3%
E 4
13.3%
H 4
13.3%
Y 2
 
6.7%
U 2
 
6.7%
I 2
 
6.7%
M 2
 
6.7%
A 2
 
6.7%
T 2
 
6.7%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
82.6%
ASCII 36
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
 
8.2%
8
 
4.7%
6
 
3.5%
6
 
3.5%
5
 
2.9%
5
 
2.9%
5
 
2.9%
4
 
2.3%
4
 
2.3%
4
 
2.3%
Other values (75) 110
64.3%
ASCII
ValueCountFrequency (%)
6
16.7%
N 6
16.7%
G 4
11.1%
E 4
11.1%
H 4
11.1%
Y 2
 
5.6%
U 2
 
5.6%
I 2
 
5.6%
M 2
 
5.6%
A 2
 
5.6%
Distinct50
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T08:48:12.863392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length21.315789
Min length17

Characters and Unicode

Total characters1215
Distinct characters97
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

Unique44 ?
Unique (%)77.2%

Sample

1st row경상남도 김해시 삼방동 183-4
2nd row경상남도 김해시 삼계동 1508-5
3rd row경상남도 김해시 삼계동 1508-5
4th row경상남도 김해시 서상동 82-33
5th row경상남도 김해시 서상동 82-33
ValueCountFrequency (%)
경상남도 57
21.5%
김해시 57
21.5%
대청동 8
 
3.0%
외동 7
 
2.6%
서상동 5
 
1.9%
내동 4
 
1.5%
삼계동 4
 
1.5%
구산동 3
 
1.1%
440-4 3
 
1.1%
삼정동 3
 
1.1%
Other values (92) 114
43.0%
2023-12-11T08:48:13.351393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
17.1%
68
 
5.6%
1 63
 
5.2%
63
 
5.2%
58
 
4.8%
57
 
4.7%
57
 
4.7%
57
 
4.7%
57
 
4.7%
57
 
4.7%
Other values (87) 470
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 719
59.2%
Decimal Number 250
 
20.6%
Space Separator 208
 
17.1%
Dash Punctuation 38
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
68
 
9.5%
63
 
8.8%
58
 
8.1%
57
 
7.9%
57
 
7.9%
57
 
7.9%
57
 
7.9%
57
 
7.9%
16
 
2.2%
16
 
2.2%
Other values (75) 213
29.6%
Decimal Number
ValueCountFrequency (%)
1 63
25.2%
2 27
10.8%
4 26
10.4%
3 24
 
9.6%
7 23
 
9.2%
5 20
 
8.0%
8 19
 
7.6%
6 19
 
7.6%
0 19
 
7.6%
9 10
 
4.0%
Space Separator
ValueCountFrequency (%)
208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 719
59.2%
Common 496
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
68
 
9.5%
63
 
8.8%
58
 
8.1%
57
 
7.9%
57
 
7.9%
57
 
7.9%
57
 
7.9%
57
 
7.9%
16
 
2.2%
16
 
2.2%
Other values (75) 213
29.6%
Common
ValueCountFrequency (%)
208
41.9%
1 63
 
12.7%
- 38
 
7.7%
2 27
 
5.4%
4 26
 
5.2%
3 24
 
4.8%
7 23
 
4.6%
5 20
 
4.0%
8 19
 
3.8%
6 19
 
3.8%
Other values (2) 29
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 719
59.2%
ASCII 496
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
41.9%
1 63
 
12.7%
- 38
 
7.7%
2 27
 
5.4%
4 26
 
5.2%
3 24
 
4.8%
7 23
 
4.6%
5 20
 
4.0%
8 19
 
3.8%
6 19
 
3.8%
Other values (2) 29
 
5.8%
Hangul
ValueCountFrequency (%)
68
 
9.5%
63
 
8.8%
58
 
8.1%
57
 
7.9%
57
 
7.9%
57
 
7.9%
57
 
7.9%
57
 
7.9%
16
 
2.2%
16
 
2.2%
Other values (75) 213
29.6%
Distinct52
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T08:48:13.630967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length32.473684
Min length19

Characters and Unicode

Total characters1851
Distinct characters127
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

Unique47 ?
Unique (%)82.5%

Sample

1st row경상남도 김해시 활천로285번길 9, 1010호 (삼방동)
2nd row경상남도 김해시 삼계로51번길 4, 3층 (삼계동)
3rd row경상남도 김해시 삼계로51번길 4, 3층 (삼계동)
4th row경상남도 김해시 가락로94번길 2, 2층 (서상동)
5th row경상남도 김해시 가락로94번길 2, 2층 (서상동)
ValueCountFrequency (%)
경상남도 57
 
15.8%
김해시 57
 
15.8%
대청동 8
 
2.2%
외동 7
 
1.9%
2층 6
 
1.7%
9 5
 
1.4%
1층 5
 
1.4%
내동 4
 
1.1%
서상동 4
 
1.1%
삼계동 4
 
1.1%
Other values (150) 204
56.5%
2023-12-11T08:48:14.373902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
304
 
16.4%
1 84
 
4.5%
71
 
3.8%
70
 
3.8%
59
 
3.2%
59
 
3.2%
58
 
3.1%
58
 
3.1%
57
 
3.1%
57
 
3.1%
Other values (117) 974
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 994
53.7%
Decimal Number 373
 
20.2%
Space Separator 304
 
16.4%
Open Punctuation 54
 
2.9%
Close Punctuation 54
 
2.9%
Other Punctuation 52
 
2.8%
Dash Punctuation 20
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
 
7.1%
70
 
7.0%
59
 
5.9%
59
 
5.9%
58
 
5.8%
58
 
5.8%
57
 
5.7%
57
 
5.7%
57
 
5.7%
39
 
3.9%
Other values (102) 409
41.1%
Decimal Number
ValueCountFrequency (%)
1 84
22.5%
2 57
15.3%
0 48
12.9%
3 38
10.2%
4 31
 
8.3%
5 27
 
7.2%
7 27
 
7.2%
6 26
 
7.0%
9 20
 
5.4%
8 15
 
4.0%
Space Separator
ValueCountFrequency (%)
304
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 994
53.7%
Common 857
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
 
7.1%
70
 
7.0%
59
 
5.9%
59
 
5.9%
58
 
5.8%
58
 
5.8%
57
 
5.7%
57
 
5.7%
57
 
5.7%
39
 
3.9%
Other values (102) 409
41.1%
Common
ValueCountFrequency (%)
304
35.5%
1 84
 
9.8%
2 57
 
6.7%
( 54
 
6.3%
) 54
 
6.3%
, 52
 
6.1%
0 48
 
5.6%
3 38
 
4.4%
4 31
 
3.6%
5 27
 
3.2%
Other values (5) 108
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 994
53.7%
ASCII 857
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
304
35.5%
1 84
 
9.8%
2 57
 
6.7%
( 54
 
6.3%
) 54
 
6.3%
, 52
 
6.1%
0 48
 
5.6%
3 38
 
4.4%
4 31
 
3.6%
5 27
 
3.2%
Other values (5) 108
 
12.6%
Hangul
ValueCountFrequency (%)
71
 
7.1%
70
 
7.0%
59
 
5.9%
59
 
5.9%
58
 
5.8%
58
 
5.8%
57
 
5.7%
57
 
5.7%
57
 
5.7%
39
 
3.9%
Other values (102) 409
41.1%
Distinct49
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2020-08-11 00:00:00
Maximum2023-06-02 00:00:00
2023-12-11T08:48:14.517471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:48:14.647047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

Interactions

2023-12-11T08:48:09.520782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:48:14.729840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록신청사업등록증번호상호대표자소재지소재지(도로명)등록일자
순번1.0000.4011.0000.9850.9750.9900.9890.944
등록신청사업0.4011.0001.0000.0000.0000.0000.0000.000
등록증번호1.0001.0001.0001.0001.0001.0001.0001.000
상호0.9850.0001.0001.0001.0001.0001.0001.000
대표자0.9750.0001.0001.0001.0000.9991.0000.998
소재지0.9900.0001.0001.0000.9991.0001.0000.997
소재지(도로명)0.9890.0001.0001.0001.0001.0001.0001.000
등록일자0.9440.0001.0001.0000.9980.9971.0001.000
2023-12-11T08:48:14.837254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록신청사업
순번1.0000.287
등록신청사업0.2871.000

Missing values

2023-12-11T08:48:09.655398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:48:09.824350image/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

순번시군구명등록신청사업영업구분등록증번호상호대표자소재지소재지(도로명)등록일자
01경상남도 김해시대부중개업영업중2023-경남김해-0013대출시대 대부중개진순남경상남도 김해시 삼방동 183-4경상남도 김해시 활천로285번길 9, 1010호 (삼방동)2023-06-02
12경상남도 김해시대부업영업중2023-경남김해-0011정직한대부한세령경상남도 김해시 삼계동 1508-5경상남도 김해시 삼계로51번길 4, 3층 (삼계동)2023-05-25
23경상남도 김해시대부중개업영업중2023-경남김해-0012정직한대부한세령경상남도 김해시 삼계동 1508-5경상남도 김해시 삼계로51번길 4, 3층 (삼계동)2023-05-25
34경상남도 김해시대부업영업중2023-경남김해-0009티케이대부NGUYEN THI HANG EM경상남도 김해시 서상동 82-33경상남도 김해시 가락로94번길 2, 2층 (서상동)2023-05-17
45경상남도 김해시대부중개업영업중2023-경남김해-0010티케이대부NGUYEN THI HANG EM경상남도 김해시 서상동 82-33경상남도 김해시 가락로94번길 2, 2층 (서상동)2023-05-17
56경상남도 김해시대부업영업중2023-경남김해-0008장수대부양관명경상남도 김해시 삼정동 76-1 백제삼정데파트 상가경상남도 김해시 분성로454번길 9, 상가동 221호 (삼정동, 백제삼정데파트 상가)2023-05-03
67경상남도 김해시대부업영업중2023-경남김해-0007대부새중앙전당포김경수경상남도 김해시 진영읍 여래리 700-1경상남도 김해시 진영읍 여래로 152023-04-18
78경상남도 김해시대부업영업중2023-경남김해-0006마스터월변대부엄재환경상남도 김해시 구산동 440-4경상남도 김해시 가락로 276, 5층 5074호 (구산동)2023-02-10
89경상남도 김해시대부중개업영업중2023-경남김해-0005라이트론 대부중개조범수경상남도 김해시 대청동 71-9 엔플러스투빌딩경상남도 김해시 번화1로68번길 19, 엔플러스투빌딩 805호 (대청동)2023-01-25
910경상남도 김해시대부업영업중2023-경남김해-0003바로승인대부김민수경상남도 김해시 구산동 440-4경상남도 김해시 가락로 276, 5066호 (구산동)2020-09-08
순번시군구명등록신청사업영업구분등록증번호상호대표자소재지소재지(도로명)등록일자
4748경상남도 김해시대부업영업중2014-경남김해-0013이슈대부민병애경상남도 김해시 주촌면 천곡리 1035경상남도 김해시 주촌면 서부로1638번길 94-30, 2층2020-08-11
4849경상남도 김해시대부업영업중2012-경남김해-0005대경전당포대부김은숙경상남도 김해시 외동 1251번지 대동아파트주상가 111동 209호경상남도 김해시 함박로101번길 23, 209호 (외동, 대동한마음타운 111동 주상가)2020-12-14
4950경상남도 김해시대부업영업중2011-경남김해-0031성화전당포대부이상안경상남도 김해시 무계동 288번지 9호경상남도 김해시 장유로 298 (무계동)2020-09-29
5051경상남도 김해시대부업영업중2011-경남김해-0029천금대부안서영경상남도 김해시 내동 121번지 7호 홍익아파트경상남도 김해시 평전로 207, 홍익아파트상가 에이동 206호 (내동)2021-12-01
5152경상남도 김해시대부업영업중2011-경남김해-0017외동전당포대부송학웅경상남도 김해시 외동 1210번지 11호 2층경상남도 김해시 함박로 5-1, 2층 (외동)2023-03-23
5253경상남도 김해시대부업영업중경남김해252보람대부박순자경상남도 김해시 대청동 61번지 4호 아카데미빌딩경상남도 김해시 대청로210번길 34, 804-1호 (대청동, 아카데미빌딩)2023-05-23
5354경상남도 김해시대부업영업중경남김해-210호우연대부양태희경상남도 김해시 어방동 499번지 대우유토피아아파트경상남도 김해시 인제로 167, 16동 324호 (어방동, 대우유토피아아파트상가)2020-11-25
5455경상남도 김해시대부업영업중경남김해-209호중앙전당포대부서만금경상남도 김해시 서상동 125번지 1호경상남도 김해시 분성로 330-6 (서상동)2020-11-13
5556경상남도 김해시대부업영업중경남김해-114호대부태광전당포조광호경상남도 김해시 삼정동 633번지 14호경상남도 김해시 인제로51번길 62, 201호 (삼정동)2021-07-22
5657경상남도 김해시대부업영업중경남김해-98호장유전당포대부이순옥경상남도 김해시 무계동 217번지 13호경상남도 김해시 장유로 311-29 (무계동)2020-11-11