Overview

Dataset statistics

Number of variables4
Number of observations464
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.1 KiB
Average record size in memory33.3 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description해운대구 축산물 판매업 현황에 대한 데이터로 연번, 판매업구분명, 사업장명칭, 소재지주소 등의 자료를 포함하고있습니다.
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/3075774/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:12:26.314155
Analysis finished2024-03-15 01:12:27.682377
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct464
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.5
Minimum1
Maximum464
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-03-15T10:12:27.902631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.15
Q1116.75
median232.5
Q3348.25
95-th percentile440.85
Maximum464
Range463
Interquartile range (IQR)231.5

Descriptive statistics

Standard deviation134.08952
Coefficient of variation (CV)0.57672913
Kurtosis-1.2
Mean232.5
Median Absolute Deviation (MAD)116
Skewness0
Sum107880
Variance17980
MonotonicityStrictly increasing
2024-03-15T10:12:28.343507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
307 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
317 1
 
0.2%
316 1
 
0.2%
315 1
 
0.2%
314 1
 
0.2%
313 1
 
0.2%
312 1
 
0.2%
Other values (454) 454
97.8%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
464 1
0.2%
463 1
0.2%
462 1
0.2%
461 1
0.2%
460 1
0.2%
459 1
0.2%
458 1
0.2%
457 1
0.2%
456 1
0.2%
455 1
0.2%

판매업구분명
Categorical

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
식육판매업
180 
식육즉석판매가공업
150 
우유류판매업
85 
축산물유통전문판매업
37 
식용란수집판매업
 
10

Length

Max length10
Median length9
Mean length6.9612069
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육판매업
2nd row우유류판매업
3rd row식육판매업
4th row우유류판매업
5th row우유류판매업

Common Values

ValueCountFrequency (%)
식육판매업 180
38.8%
식육즉석판매가공업 150
32.3%
우유류판매업 85
18.3%
축산물유통전문판매업 37
 
8.0%
식용란수집판매업 10
 
2.2%
식육부산물전문판매업 2
 
0.4%

Length

2024-03-15T10:12:28.777425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:12:29.121490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 180
38.8%
식육즉석판매가공업 150
32.3%
우유류판매업 85
18.3%
축산물유통전문판매업 37
 
8.0%
식용란수집판매업 10
 
2.2%
식육부산물전문판매업 2
 
0.4%

사업장명칭
Text

Distinct440
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-03-15T10:12:30.117678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.0064655
Min length2

Characters and Unicode

Total characters3251
Distinct characters386
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique418 ?
Unique (%)90.1%

Sample

1st row해운대식육점
2nd row서주유유해운대대리점
3rd row대성식육점
4th row부산우유반여2대리점
5th row부산우유보급소
ValueCountFrequency (%)
정육점 15
 
2.4%
주식회사 9
 
1.5%
해운대점 7
 
1.1%
정육 6
 
1.0%
장산점 5
 
0.8%
자연드림 5
 
0.8%
부산우유 5
 
0.8%
마트 4
 
0.6%
아이마트 4
 
0.6%
반여점 3
 
0.5%
Other values (503) 554
89.8%
2024-03-15T10:12:31.628581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 173
 
5.3%
153
 
4.7%
대 98
 
3.0%
산 95
 
2.9%
육 92
 
2.8%
우 90
 
2.8%
유 84
 
2.6%
리 75
 
2.3%
식 74
 
2.3%
주 60
 
1.8%
Other values (376) 2257
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2852
87.7%
Space Separator 153
 
4.7%
Lowercase Letter 67
 
2.1%
Close Punctuation 54
 
1.7%
Open Punctuation 54
 
1.7%
Uppercase Letter 42
 
1.3%
Decimal Number 20
 
0.6%
Other Punctuation 5
 
0.2%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 173
 
6.1%
대 98
 
3.4%
산 95
 
3.3%
육 92
 
3.2%
우 90
 
3.2%
유 84
 
2.9%
리 75
 
2.6%
식 74
 
2.6%
주 60
 
2.1%
트 60
 
2.1%
Other values (326) 1951
68.4%
Lowercase Letter
ValueCountFrequency (%)
a 9
13.4%
t 7
 
10.4%
o 6
 
9.0%
e 6
 
9.0%
d 4
 
6.0%
y 4
 
6.0%
n 3
 
4.5%
r 3
 
4.5%
m 3
 
4.5%
s 3
 
4.5%
Other values (12) 19
28.4%
Uppercase Letter
ValueCountFrequency (%)
M 6
14.3%
F 5
11.9%
G 4
9.5%
K 4
9.5%
S 3
 
7.1%
T 3
 
7.1%
C 2
 
4.8%
J 2
 
4.8%
P 2
 
4.8%
B 2
 
4.8%
Other values (6) 9
21.4%
Decimal Number
ValueCountFrequency (%)
1 7
35.0%
8 4
20.0%
2 3
15.0%
6 2
 
10.0%
3 2
 
10.0%
4 2
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
＆ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2851
87.7%
Common 290
 
8.9%
Latin 109
 
3.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 173
 
6.1%
대 98
 
3.4%
산 95
 
3.3%
육 92
 
3.2%
우 90
 
3.2%
유 84
 
2.9%
리 75
 
2.6%
식 74
 
2.6%
주 60
 
2.1%
트 60
 
2.1%
Other values (325) 1950
68.4%
Latin
ValueCountFrequency (%)
a 9
 
8.3%
t 7
 
6.4%
o 6
 
5.5%
M 6
 
5.5%
e 6
 
5.5%
F 5
 
4.6%
d 4
 
3.7%
G 4
 
3.7%
y 4
 
3.7%
K 4
 
3.7%
Other values (28) 54
49.5%
Common
ValueCountFrequency (%)
153
52.8%
) 54
 
18.6%
( 54
 
18.6%
1 7
 
2.4%
+ 4
 
1.4%
& 4
 
1.4%
8 4
 
1.4%
2 3
 
1.0%
6 2
 
0.7%
3 2
 
0.7%
Other values (2) 3
 
1.0%
Han
ValueCountFrequency (%)
韓 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2851
87.7%
ASCII 398
 
12.2%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 173
 
6.1%
대 98
 
3.4%
산 95
 
3.3%
육 92
 
3.2%
우 90
 
3.2%
유 84
 
2.9%
리 75
 
2.6%
식 74
 
2.6%
주 60
 
2.1%
트 60
 
2.1%
Other values (325) 1950
68.4%
ASCII
ValueCountFrequency (%)
153
38.4%
) 54
 
13.6%
( 54
 
13.6%
a 9
 
2.3%
t 7
 
1.8%
1 7
 
1.8%
o 6
 
1.5%
M 6
 
1.5%
e 6
 
1.5%
F 5
 
1.3%
Other values (39) 91
22.9%
None
ValueCountFrequency (%)
＆ 1
100.0%
CJK
ValueCountFrequency (%)
韓 1
100.0%

소재지주소
Text

Distinct450
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-03-15T10:12:32.707862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length32.525862
Min length18

Characters and Unicode

Total characters15092
Distinct characters218
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

Unique436 ?
Unique (%)94.0%

Sample

1st row부산광역시 해운대구 구남로41번길 13 (중동)
2nd row부산광역시 해운대구 해운대해변로 329-6 (중동)
3rd row부산광역시 해운대구 좌동순환로468번가길 6 (중동)
4th row부산광역시 해운대구 반여로155번나길 37-2(반여동)
5th row부산광역시 해운대구 우동1로 28 (우동)
ValueCountFrequency (%)
부산광역시 464
 
16.8%
해운대구 464
 
16.8%
반여동 103
 
3.7%
1층 86
 
3.1%
우동 81
 
2.9%
재송동 74
 
2.7%
좌동 63
 
2.3%
반송동 54
 
2.0%
중동 51
 
1.8%
상가동 38
 
1.4%
Other values (623) 1288
46.6%
2024-03-15T10:12:34.365905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2352
 
15.6%
1 655
 
4.3%
동 619
 
4.1%
대 590
 
3.9%
해 561
 
3.7%
운 553
 
3.7%
시 502
 
3.3%
산 492
 
3.3%
구 475
 
3.1%
부 466
 
3.1%
Other values (208) 7827
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9010
59.7%
Decimal Number 2375
 
15.7%
Space Separator 2352
 
15.6%
Close Punctuation 433
 
2.9%
Open Punctuation 433
 
2.9%
Other Punctuation 321
 
2.1%
Dash Punctuation 135
 
0.9%
Uppercase Letter 32
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 619
 
6.9%
대 590
 
6.5%
해 561
 
6.2%
운 553
 
6.1%
시 502
 
5.6%
산 492
 
5.5%
구 475
 
5.3%
부 466
 
5.2%
광 465
 
5.2%
역 464
 
5.1%
Other values (182) 3823
42.4%
Decimal Number
ValueCountFrequency (%)
1 655
27.6%
2 336
14.1%
0 245
 
10.3%
3 228
 
9.6%
5 177
 
7.5%
4 165
 
6.9%
6 159
 
6.7%
8 150
 
6.3%
9 131
 
5.5%
7 129
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 10
31.2%
A 8
25.0%
C 3
 
9.4%
E 3
 
9.4%
P 2
 
6.2%
L 2
 
6.2%
N 2
 
6.2%
G 1
 
3.1%
K 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 320
99.7%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2352
100.0%
Close Punctuation
ValueCountFrequency (%)
) 433
100.0%
Open Punctuation
ValueCountFrequency (%)
( 433
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9010
59.7%
Common 6049
40.1%
Latin 33
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 619
 
6.9%
대 590
 
6.5%
해 561
 
6.2%
운 553
 
6.1%
시 502
 
5.6%
산 492
 
5.5%
구 475
 
5.3%
부 466
 
5.2%
광 465
 
5.2%
역 464
 
5.1%
Other values (182) 3823
42.4%
Common
ValueCountFrequency (%)
2352
38.9%
1 655
 
10.8%
) 433
 
7.2%
( 433
 
7.2%
2 336
 
5.6%
, 320
 
5.3%
0 245
 
4.1%
3 228
 
3.8%
5 177
 
2.9%
4 165
 
2.7%
Other values (6) 705
 
11.7%
Latin
ValueCountFrequency (%)
B 10
30.3%
A 8
24.2%
C 3
 
9.1%
E 3
 
9.1%
P 2
 
6.1%
L 2
 
6.1%
N 2
 
6.1%
G 1
 
3.0%
b 1
 
3.0%
K 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9010
59.7%
ASCII 6082
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2352
38.7%
1 655
 
10.8%
) 433
 
7.1%
( 433
 
7.1%
2 336
 
5.5%
, 320
 
5.3%
0 245
 
4.0%
3 228
 
3.7%
5 177
 
2.9%
4 165
 
2.7%
Other values (16) 738
 
12.1%
Hangul
ValueCountFrequency (%)
동 619
 
6.9%
대 590
 
6.5%
해 561
 
6.2%
운 553
 
6.1%
시 502
 
5.6%
산 492
 
5.5%
구 475
 
5.3%
부 466
 
5.2%
광 465
 
5.2%
역 464
 
5.1%
Other values (182) 3823
42.4%

Interactions

2024-03-15T10:12:26.947524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:12:34.625786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.711
판매업구분명0.7111.000
2024-03-15T10:12:34.852334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.474
판매업구분명0.4741.000

Missing values

2024-03-15T10:12:27.271599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:12:27.557787image/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

연번판매업구분명사업장명칭소재지주소
01식육판매업해운대식육점부산광역시 해운대구 구남로41번길 13 (중동)
12우유류판매업서주유유해운대대리점부산광역시 해운대구 해운대해변로 329-6 (중동)
23식육판매업대성식육점부산광역시 해운대구 좌동순환로468번가길 6 (중동)
34우유류판매업부산우유반여2대리점부산광역시 해운대구 반여로155번나길 37-2(반여동)
45우유류판매업부산우유보급소부산광역시 해운대구 우동1로 28 (우동)
56식육판매업오복식육점부산광역시 해운대구 윗반송로51번길 83-26 (반송동)
67식육판매업해성식육점부산광역시 해운대구 송정중앙로 30-1 (송정동)
78우유류판매업(주)에치와이 반여점부산광역시 해운대구 반여로185번길 42 (반여동)
89식육판매업희망식육점부산광역시 해운대구 좌동순환로468번가길 6 (중동)
910식육판매업화목식육점부산광역시 해운대구 해운대로61번길 95-47 (반여동)
연번판매업구분명사업장명칭소재지주소
454455식육즉석판매가공업통바지부산광역시 해운대구 대천로106번길 20, 1층 (좌동)
455456식육즉석판매가공업홍익상회부산광역시 해운대구 재반로211번길 28-45 (반여동)
456457식육즉석판매가공업미미가부산광역시 해운대구 반여로185번길 12, 2층 (반여동)
457458식육즉석판매가공업우동정육점부산광역시 해운대구 해운대로483번가길 9, 1층 (우동)
458459식육즉석판매가공업박진감미트부산광역시 해운대구 해운대해변로197번길 8 (우동)
459460식육즉석판매가공업착한고깃간부산광역시 해운대구 선수촌로 80, 1층 (반여동)
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