Overview

Dataset statistics

Number of variables8
Number of observations51
Missing cells15
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory68.6 B

Variable types

Numeric2
Text5
DateTime1

Dataset

Description전라북도 전주시 동물판매업소 현황입니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=6&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15053266

Alerts

데이터기준일자 has constant value ""Constant
소재지 지번주소 has 2 (3.9%) missing valuesMissing
소재지전화번호 has 13 (25.5%) missing valuesMissing
연번 has unique valuesUnique
사업장명칭 has unique valuesUnique
소재지주소(도로명) has unique valuesUnique
위도 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:00:24.190486
Analysis finished2024-03-14 01:00:25.266046
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-03-14T10:00:25.348136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2024-03-14T10:00:25.490161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

사업장명칭
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-14T10:00:25.688822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length5.6470588
Min length2

Characters and Unicode

Total characters288
Distinct characters126
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

Unique51 ?
Unique (%)100.0%

Sample

1st row다사랑애견
2nd row애견나라
3rd row완산애견
4th row하나애견샵
5th row벤지애견
ValueCountFrequency (%)
헬로펫 3
 
4.8%
탤렌트 2
 
3.2%
펫샵 2
 
3.2%
애견용품 2
 
3.2%
할인마트 2
 
3.2%
애견샵 2
 
3.2%
다사랑애견 1
 
1.6%
애니몰하우스 1
 
1.6%
현이펫 1
 
1.6%
제임스독 1
 
1.6%
Other values (45) 45
72.6%
2024-03-14T10:00:26.002085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
애 21
 
7.3%
견 20
 
6.9%
11
 
3.8%
펫 11
 
3.8%
트 9
 
3.1%
이 9
 
3.1%
스 9
 
3.1%
마 8
 
2.8%
점 6
 
2.1%
샵 6
 
2.1%
Other values (116) 178
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 264
91.7%
Space Separator 11
 
3.8%
Lowercase Letter 6
 
2.1%
Decimal Number 3
 
1.0%
Modifier Symbol 1
 
0.3%
Uppercase Letter 1
 
0.3%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
애 21
 
8.0%
견 20
 
7.6%
펫 11
 
4.2%
트 9
 
3.4%
이 9
 
3.4%
스 9
 
3.4%
마 8
 
3.0%
점 6
 
2.3%
샵 6
 
2.3%
리 4
 
1.5%
Other values (102) 161
61.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
16.7%
m 1
16.7%
i 1
16.7%
t 1
16.7%
e 1
16.7%
p 1
16.7%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
6 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 264
91.7%
Common 17
 
5.9%
Latin 7
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
애 21
 
8.0%
견 20
 
7.6%
펫 11
 
4.2%
트 9
 
3.4%
이 9
 
3.4%
스 9
 
3.4%
마 8
 
3.0%
점 6
 
2.3%
샵 6
 
2.3%
리 4
 
1.5%
Other values (102) 161
61.0%
Common
ValueCountFrequency (%)
11
64.7%
` 1
 
5.9%
5 1
 
5.9%
6 1
 
5.9%
3 1
 
5.9%
) 1
 
5.9%
( 1
 
5.9%
Latin
ValueCountFrequency (%)
s 1
14.3%
m 1
14.3%
i 1
14.3%
L 1
14.3%
t 1
14.3%
e 1
14.3%
p 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 264
91.7%
ASCII 24
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
애 21
 
8.0%
견 20
 
7.6%
펫 11
 
4.2%
트 9
 
3.4%
이 9
 
3.4%
스 9
 
3.4%
마 8
 
3.0%
점 6
 
2.3%
샵 6
 
2.3%
리 4
 
1.5%
Other values (102) 161
61.0%
ASCII
ValueCountFrequency (%)
11
45.8%
s 1
 
4.2%
` 1
 
4.2%
m 1
 
4.2%
i 1
 
4.2%
L 1
 
4.2%
t 1
 
4.2%
5 1
 
4.2%
6 1
 
4.2%
3 1
 
4.2%
Other values (4) 4
 
16.7%

소재지주소(도로명)
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-14T10:00:26.289952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length25.843137
Min length21

Characters and Unicode

Total characters1318
Distinct characters52
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

Unique51 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 완산구 평화동1가 709-1
2nd row전라북도 전주시 완산구 중노송동 498-22
3rd row전라북도 전주시 완산구 서완산동2가 360-19
4th row전라북도 전주시 덕진구 덕진동2가 167-156번지
5th row전라북도 전주시 완산구 경원동3가 201
ValueCountFrequency (%)
전라북도 51
19.6%
전주시 51
19.6%
완산구 35
13.5%
덕진구 16
 
6.2%
효자동1가 6
 
2.3%
송천동1가 6
 
2.3%
서신동 6
 
2.3%
평화동1가 4
 
1.5%
중노송동 4
 
1.5%
효자동3가 3
 
1.2%
Other values (71) 78
30.0%
2024-03-14T10:00:26.622206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
18.8%
전 102
 
7.7%
1 59
 
4.5%
구 51
 
3.9%
북 51
 
3.9%
도 51
 
3.9%
주 51
 
3.9%
시 51
 
3.9%
라 51
 
3.9%
동 50
 
3.8%
Other values (42) 553
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 768
58.3%
Decimal Number 258
 
19.6%
Space Separator 248
 
18.8%
Dash Punctuation 44
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 102
13.3%
구 51
 
6.6%
북 51
 
6.6%
도 51
 
6.6%
주 51
 
6.6%
시 51
 
6.6%
라 51
 
6.6%
동 50
 
6.5%
산 39
 
5.1%
가 39
 
5.1%
Other values (30) 232
30.2%
Decimal Number
ValueCountFrequency (%)
1 59
22.9%
2 33
12.8%
3 32
12.4%
8 23
 
8.9%
7 23
 
8.9%
6 22
 
8.5%
4 20
 
7.8%
5 19
 
7.4%
9 15
 
5.8%
0 12
 
4.7%
Space Separator
ValueCountFrequency (%)
248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 768
58.3%
Common 550
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 102
13.3%
구 51
 
6.6%
북 51
 
6.6%
도 51
 
6.6%
주 51
 
6.6%
시 51
 
6.6%
라 51
 
6.6%
동 50
 
6.5%
산 39
 
5.1%
가 39
 
5.1%
Other values (30) 232
30.2%
Common
ValueCountFrequency (%)
248
45.1%
1 59
 
10.7%
- 44
 
8.0%
2 33
 
6.0%
3 32
 
5.8%
8 23
 
4.2%
7 23
 
4.2%
6 22
 
4.0%
4 20
 
3.6%
5 19
 
3.5%
Other values (2) 27
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 768
58.3%
ASCII 550
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
45.1%
1 59
 
10.7%
- 44
 
8.0%
2 33
 
6.0%
3 32
 
5.8%
8 23
 
4.2%
7 23
 
4.2%
6 22
 
4.0%
4 20
 
3.6%
5 19
 
3.5%
Other values (2) 27
 
4.9%
Hangul
ValueCountFrequency (%)
전 102
13.3%
구 51
 
6.6%
북 51
 
6.6%
도 51
 
6.6%
주 51
 
6.6%
시 51
 
6.6%
라 51
 
6.6%
동 50
 
6.5%
산 39
 
5.1%
가 39
 
5.1%
Other values (30) 232
30.2%

소재지 지번주소
Text

MISSING 

Distinct48
Distinct (%)98.0%
Missing2
Missing (%)3.9%
Memory size540.0 B
2024-03-14T10:00:26.844861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length29.122449
Min length25

Characters and Unicode

Total characters1427
Distinct characters105
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

Unique47 ?
Unique (%)95.9%

Sample

1st row전라북도 전주시 완산구 장승배기로 194 (평화동1가)
2nd row전라북도 전주시 완산구 기린대로 165 (중노송동)
3rd row전라북도 전주시 완산구 용머리로 203 (서완산동2가)
4th row전라북도 전주시 덕진구 송천중앙로 17 (덕진동2가)
5th row전라북도 전주시 완산구 서곡로 69 (효자동3가)
ValueCountFrequency (%)
전주시 49
16.3%
전라북도 48
 
16.0%
완산구 34
 
11.3%
덕진구 15
 
5.0%
기린대로 6
 
2.0%
서신동 6
 
2.0%
송천동1가 6
 
2.0%
송천중앙로 6
 
2.0%
거마평로 5
 
1.7%
효자동1가 5
 
1.7%
Other values (93) 120
40.0%
2024-03-14T10:00:27.194422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
 
17.6%
전 99
 
6.9%
1 54
 
3.8%
동 52
 
3.6%
주 49
 
3.4%
시 49
 
3.4%
구 49
 
3.4%
) 49
 
3.4%
( 49
 
3.4%
북 48
 
3.4%
Other values (95) 678
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 890
62.4%
Space Separator 251
 
17.6%
Decimal Number 172
 
12.1%
Close Punctuation 49
 
3.4%
Open Punctuation 49
 
3.4%
Other Punctuation 10
 
0.7%
Dash Punctuation 4
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 99
 
11.1%
동 52
 
5.8%
주 49
 
5.5%
시 49
 
5.5%
구 49
 
5.5%
북 48
 
5.4%
도 48
 
5.4%
라 48
 
5.4%
로 46
 
5.2%
산 40
 
4.5%
Other values (77) 362
40.7%
Decimal Number
ValueCountFrequency (%)
1 54
31.4%
3 25
14.5%
2 22
12.8%
7 12
 
7.0%
4 12
 
7.0%
0 11
 
6.4%
9 10
 
5.8%
5 9
 
5.2%
6 9
 
5.2%
8 8
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
' 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 890
62.4%
Common 535
37.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 99
 
11.1%
동 52
 
5.8%
주 49
 
5.5%
시 49
 
5.5%
구 49
 
5.5%
북 48
 
5.4%
도 48
 
5.4%
라 48
 
5.4%
로 46
 
5.2%
산 40
 
4.5%
Other values (77) 362
40.7%
Common
ValueCountFrequency (%)
251
46.9%
1 54
 
10.1%
) 49
 
9.2%
( 49
 
9.2%
3 25
 
4.7%
2 22
 
4.1%
7 12
 
2.2%
4 12
 
2.2%
0 11
 
2.1%
9 10
 
1.9%
Other values (6) 40
 
7.5%
Latin
ValueCountFrequency (%)
S 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 890
62.4%
ASCII 537
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
46.7%
1 54
 
10.1%
) 49
 
9.1%
( 49
 
9.1%
3 25
 
4.7%
2 22
 
4.1%
7 12
 
2.2%
4 12
 
2.2%
0 11
 
2.0%
9 10
 
1.9%
Other values (8) 42
 
7.8%
Hangul
ValueCountFrequency (%)
전 99
 
11.1%
동 52
 
5.8%
주 49
 
5.5%
시 49
 
5.5%
구 49
 
5.5%
북 48
 
5.4%
도 48
 
5.4%
라 48
 
5.4%
로 46
 
5.2%
산 40
 
4.5%
Other values (77) 362
40.7%

위도
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-14T10:00:27.411075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9
Min length8

Characters and Unicode

Total characters459
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row35.795822
2nd row35.822645
3rd row35.807916
4th row35.848839
5th row35.822851
ValueCountFrequency (%)
35.795822 1
 
1.9%
35.806396 1
 
1.9%
35.811932 1
 
1.9%
35.828355 1
 
1.9%
35.817689 1
 
1.9%
35.856097 1
 
1.9%
35.846034 1
 
1.9%
35.826908 1
 
1.9%
35.833794 1
 
1.9%
35.826994 1
 
1.9%
Other values (42) 42
80.8%
2024-03-14T10:00:27.771479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 78
17.0%
5 75
16.3%
8 72
15.7%
. 51
11.1%
6 36
7.8%
7 31
 
6.8%
2 29
 
6.3%
9 25
 
5.4%
1 22
 
4.8%
0 20
 
4.4%
Other values (2) 20
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 407
88.7%
Other Punctuation 51
 
11.1%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 78
19.2%
5 75
18.4%
8 72
17.7%
6 36
8.8%
7 31
 
7.6%
2 29
 
7.1%
9 25
 
6.1%
1 22
 
5.4%
0 20
 
4.9%
4 19
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 51
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 459
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 78
17.0%
5 75
16.3%
8 72
15.7%
. 51
11.1%
6 36
7.8%
7 31
 
6.8%
2 29
 
6.3%
9 25
 
5.4%
1 22
 
4.8%
0 20
 
4.4%
Other values (2) 20
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 459
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 78
17.0%
5 75
16.3%
8 72
15.7%
. 51
11.1%
6 36
7.8%
7 31
 
6.8%
2 29
 
6.3%
9 25
 
5.4%
1 22
 
4.8%
0 20
 
4.4%
Other values (2) 20
 
4.4%

경도
Real number (ℝ)

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12744
Minimum127.07978
Maximum127.16996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-03-14T10:00:27.888291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.07978
5-th percentile127.09577
Q1127.11688
median127.12111
Q3127.14475
95-th percentile127.16269
Maximum127.16996
Range0.090187
Interquartile range (IQR)0.0278675

Descriptive statistics

Standard deviation0.020367783
Coefficient of variation (CV)0.00016021548
Kurtosis-0.28984669
Mean127.12744
Median Absolute Deviation (MAD)0.011033
Skewness0.16701218
Sum6483.4993
Variance0.0004148466
MonotonicityNot monotonic
2024-03-14T10:00:27.993327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.16269 2
 
3.9%
127.133907 1
 
2.0%
127.121112 1
 
2.0%
127.094824 1
 
2.0%
127.169963 1
 
2.0%
127.126175 1
 
2.0%
127.120562 1
 
2.0%
127.11992 1
 
2.0%
127.11867 1
 
2.0%
127.096782 1
 
2.0%
Other values (40) 40
78.4%
ValueCountFrequency (%)
127.079776 1
2.0%
127.094824 1
2.0%
127.095217 1
2.0%
127.096325 1
2.0%
127.096782 1
2.0%
127.101144 1
2.0%
127.102483 1
2.0%
127.11414 1
2.0%
127.11558 1
2.0%
127.116267 1
2.0%
ValueCountFrequency (%)
127.169963 1
2.0%
127.167774 1
2.0%
127.16269 2
3.9%
127.154232 1
2.0%
127.1529 1
2.0%
127.152044 1
2.0%
127.150409 1
2.0%
127.150239 1
2.0%
127.150207 1
2.0%
127.150018 1
2.0%

소재지전화번호
Text

MISSING 

Distinct37
Distinct (%)97.4%
Missing13
Missing (%)25.5%
Memory size540.0 B
2024-03-14T10:00:28.160078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052632
Min length12

Characters and Unicode

Total characters458
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

Unique36 ?
Unique (%)94.7%

Sample

1st row063-224-0090
2nd row063-247-0202
3rd row063-232-9484
4th row063-274-0904
5th row063-261-4878
ValueCountFrequency (%)
063-219-2500 2
 
5.3%
063-222-2041 1
 
2.6%
063-224-0090 1
 
2.6%
063-249-6500 1
 
2.6%
063-283-9500 1
 
2.6%
063-259-1051 1
 
2.6%
063-243-8600 1
 
2.6%
070-8826-2661 1
 
2.6%
063-275-0720 1
 
2.6%
070-8111-0942 1
 
2.6%
Other values (27) 27
71.1%
2024-03-14T10:00:28.574526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
19.9%
- 76
16.6%
2 66
14.4%
3 47
10.3%
6 44
9.6%
5 24
 
5.2%
8 23
 
5.0%
7 23
 
5.0%
4 23
 
5.0%
1 21
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 382
83.4%
Dash Punctuation 76
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91
23.8%
2 66
17.3%
3 47
12.3%
6 44
11.5%
5 24
 
6.3%
8 23
 
6.0%
7 23
 
6.0%
4 23
 
6.0%
1 21
 
5.5%
9 20
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 458
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
19.9%
- 76
16.6%
2 66
14.4%
3 47
10.3%
6 44
9.6%
5 24
 
5.2%
8 23
 
5.0%
7 23
 
5.0%
4 23
 
5.0%
1 21
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 458
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
19.9%
- 76
16.6%
2 66
14.4%
3 47
10.3%
6 44
9.6%
5 24
 
5.2%
8 23
 
5.0%
7 23
 
5.0%
4 23
 
5.0%
1 21
 
4.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2019-08-30 00:00:00
Maximum2019-08-30 00:00:00
2024-03-14T10:00:28.704377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:28.797605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T10:00:24.881429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:24.563573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:24.948816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:00:24.823490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:00:28.874205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명칭소재지주소(도로명)소재지 지번주소위도경도소재지전화번호
연번1.0001.0001.0000.9171.0000.2300.948
사업장명칭1.0001.0001.0001.0001.0001.0001.000
소재지주소(도로명)1.0001.0001.0001.0001.0001.0001.000
소재지 지번주소0.9171.0001.0001.0001.0001.0000.993
위도1.0001.0001.0001.0001.0001.0001.000
경도0.2301.0001.0001.0001.0001.0001.000
소재지전화번호0.9481.0001.0000.9931.0001.0001.000
2024-03-14T10:00:28.988622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번경도
연번1.0000.057
경도0.0571.000

Missing values

2024-03-14T10:00:25.035783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:00:25.134482image/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.
2024-03-14T10:00:25.226062image/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

연번사업장명칭소재지주소(도로명)소재지 지번주소위도경도소재지전화번호데이터기준일자
01다사랑애견전라북도 전주시 완산구 평화동1가 709-1전라북도 전주시 완산구 장승배기로 194 (평화동1가)35.795822127.133907063-224-00902019-08-30
12애견나라전라북도 전주시 완산구 중노송동 498-22전라북도 전주시 완산구 기린대로 165 (중노송동)35.822645127.150239063-247-02022019-08-30
23완산애견전라북도 전주시 완산구 서완산동2가 360-19전라북도 전주시 완산구 용머리로 203 (서완산동2가)35.807916127.132145063-232-94842019-08-30
34하나애견샵전라북도 전주시 덕진구 덕진동2가 167-156번지전라북도 전주시 덕진구 송천중앙로 17 (덕진동2가)35.848839127.11856063-274-09042019-08-30
45벤지애견전라북도 전주시 완산구 경원동3가 201<NA>35.822851127.149283063-261-48782019-08-30
56올리브애견전라북도 전주시 덕진구 송천1가 386-3<NA>35.856225127.120053063-253-95002019-08-30
67쥬쥬애견전라북도 전주시 완산구 효자동3가 1435-6전라북도 전주시 완산구 서곡로 69 (효자동3가)35.835433127.101144063-255-07192019-08-30
78짱구와동팔이전라북도 전주시 완산구 다가동3가 64-18전라북도 전주시 완산구 충경로 5-2 (다가동3가)35.817029127.140211063-287-08222019-08-30
89화이트애견전라북도 전주시 완산구 중노송동 498-25전라북도 전주시 완산구 기린대로 163 (중노송동)35.822636127.150409063-287-94842019-08-30
910가나다애견전라북도 전주시 완산구 삼천동1가 606-2전라북도 전주시 완산구 용리로 116 (삼천동1가)35.798516127.122448063-222-20732019-08-30
연번사업장명칭소재지주소(도로명)소재지 지번주소위도경도소재지전화번호데이터기준일자
4142유아독존전라북도 전주시 덕진구 우아동2가 561-7번지전라북도 전주시 덕진구 석소로 84 (우아동2가, 윤현빌딩)35.834487127.167774063-243-71002019-08-30
4243펫스토리전라북도 전주시 완산구 서신동 773번지전라북도 전주시 완산구 백제대로 428 (서신동, 유디치과)35.831375127.123137063-252-07802019-08-30
4344블루독전라북도 전주시 완산구 중화산동2가 755-10번지전라북도 전주시 완산구 효자로 293 (중화산동2가, 쌍용자동차)35.819285127.117637<NA>2019-08-30
4445쌍방울애견전시장전라북도 전주시 덕진구 금암동 461-9번지전라북도 전주시 덕진구 기린대로 353 (금암동, 코니문투어)35.834669127.134921063-254-57092019-08-30
4546닥터펫전라북도 전주시 완산구 서신동 산 997-8번지전라북도 전주시 완산구 백제대로 378 (서신동)35.826877127.123031063-272-00752019-08-30
4647Lim`s전라북도 전주시 완산구 서서학동 32-4번지'전라북도 전주시 완산구 서학로 23 (서서학동)35.809699127.152044<NA>2019-08-30
4748펫샵전라북도 전주시 완산구 효자동1가 287-13번지 201호전주시 완산구 거마평로 162, 201호(효자동1가)35.807696127.116758063-221-75822019-08-30
4849헬로펫전라북도 전주시 완산구 평화동1가 710-4번지전라북도 전주시 완산구 장승배기로 200 (평화동1가, SC제일은행)35.795984127.134755063-222-20412019-08-30
4950코코애견샵전라북도 전주시 덕진구 우아동3가 602-9번지전라북도 전주시 덕진구 호성로 4 (우아동3가)35. 853528127.154232<NA>2019-08-30
5051올리몰스 펫샵전라북도 전주시 덕진구 송천동1가 809-3번지전라북도 전주시 덕진구 송천중앙로 213 (송천동1가)35.866268127.121148063-275-79792019-08-30