Overview

Dataset statistics

Number of variables4
Number of observations466
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

Description부산광역시해운대구_축산물판매업현황_20230919
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075774

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:59:55.214865
Analysis finished2023-12-10 16:59:56.193958
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct466
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.5
Minimum1
Maximum466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-11T01:59:56.334742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.25
Q1117.25
median233.5
Q3349.75
95-th percentile442.75
Maximum466
Range465
Interquartile range (IQR)232.5

Descriptive statistics

Standard deviation134.66687
Coefficient of variation (CV)0.57673179
Kurtosis-1.2
Mean233.5
Median Absolute Deviation (MAD)116.5
Skewness0
Sum108811
Variance18135.167
MonotonicityStrictly increasing
2023-12-11T01:59:56.920777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
308 1
 
0.2%
320 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%
Other values (456) 456
97.9%
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 (%)
466 1
0.2%
465 1
0.2%
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%

판매업구분명
Categorical

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
식육판매업
183 
식육즉석판매가공업
149 
우유류판매업
85 
축산물유통전문판매업
37 
식용란수집판매업
 
10

Length

Max length10
Median length9
Mean length6.944206
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 183
39.3%
식육즉석판매가공업 149
32.0%
우유류판매업 85
18.2%
축산물유통전문판매업 37
 
7.9%
식용란수집판매업 10
 
2.1%
식육부산물전문판매업 2
 
0.4%

Length

2023-12-11T01:59:57.151429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:59:57.341422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 183
39.3%
식육즉석판매가공업 149
32.0%
우유류판매업 85
18.2%
축산물유통전문판매업 37
 
7.9%
식용란수집판매업 10
 
2.1%
식육부산물전문판매업 2
 
0.4%

사업장명칭
Text

Distinct439
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-11T01:59:57.887768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length6.9699571
Min length2

Characters and Unicode

Total characters3248
Distinct characters382
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

Unique414 ?
Unique (%)88.8%

Sample

1st row해운대식육점
2nd row서주유유해운대대리점
3rd row대성식육점
4th row부산우유반여2대리점
5th row부산우유보급소
ValueCountFrequency (%)
정육점 14
 
2.3%
주식회사 10
 
1.6%
해운대점 6
 
1.0%
정육 6
 
1.0%
자연드림 5
 
0.8%
장산점 5
 
0.8%
부산우유 5
 
0.8%
센텀점 4
 
0.7%
아이마트 4
 
0.7%
한우촌 3
 
0.5%
Other values (498) 553
89.9%
2023-12-11T01:59:58.787416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 173
 
5.3%
149
 
4.6%
산 99
 
3.0%
대 98
 
3.0%
육 93
 
2.9%
우 90
 
2.8%
유 84
 
2.6%
식 77
 
2.4%
리 72
 
2.2%
주 59
 
1.8%
Other values (372) 2254
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2870
88.4%
Space Separator 149
 
4.6%
Lowercase Letter 57
 
1.8%
Open Punctuation 52
 
1.6%
Close Punctuation 52
 
1.6%
Uppercase Letter 39
 
1.2%
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
 
6.0%
산 99
 
3.4%
대 98
 
3.4%
육 93
 
3.2%
우 90
 
3.1%
유 84
 
2.9%
식 77
 
2.7%
리 72
 
2.5%
주 59
 
2.1%
축 59
 
2.1%
Other values (323) 1966
68.5%
Lowercase Letter
ValueCountFrequency (%)
a 6
 
10.5%
t 6
 
10.5%
o 6
 
10.5%
e 5
 
8.8%
y 4
 
7.0%
m 3
 
5.3%
s 3
 
5.3%
d 3
 
5.3%
i 2
 
3.5%
n 2
 
3.5%
Other values (12) 17
29.8%
Uppercase Letter
ValueCountFrequency (%)
M 6
15.4%
F 5
12.8%
K 4
10.3%
G 4
10.3%
T 3
7.7%
S 3
7.7%
O 2
 
5.1%
W 2
 
5.1%
B 2
 
5.1%
C 2
 
5.1%
Other values (5) 6
15.4%
Decimal Number
ValueCountFrequency (%)
1 7
35.0%
8 4
20.0%
2 3
15.0%
6 2
 
10.0%
4 2
 
10.0%
3 2
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
＆ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2869
88.3%
Common 282
 
8.7%
Latin 96
 
3.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 173
 
6.0%
산 99
 
3.5%
대 98
 
3.4%
육 93
 
3.2%
우 90
 
3.1%
유 84
 
2.9%
식 77
 
2.7%
리 72
 
2.5%
주 59
 
2.1%
축 59
 
2.1%
Other values (322) 1965
68.5%
Latin
ValueCountFrequency (%)
M 6
 
6.2%
a 6
 
6.2%
t 6
 
6.2%
o 6
 
6.2%
F 5
 
5.2%
e 5
 
5.2%
y 4
 
4.2%
K 4
 
4.2%
G 4
 
4.2%
T 3
 
3.1%
Other values (27) 47
49.0%
Common
ValueCountFrequency (%)
149
52.8%
( 52
 
18.4%
) 52
 
18.4%
1 7
 
2.5%
8 4
 
1.4%
+ 4
 
1.4%
& 4
 
1.4%
2 3
 
1.1%
6 2
 
0.7%
4 2
 
0.7%
Other values (2) 3
 
1.1%
Han
ValueCountFrequency (%)
韓 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2869
88.3%
ASCII 377
 
11.6%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 173
 
6.0%
산 99
 
3.5%
대 98
 
3.4%
육 93
 
3.2%
우 90
 
3.1%
유 84
 
2.9%
식 77
 
2.7%
리 72
 
2.5%
주 59
 
2.1%
축 59
 
2.1%
Other values (322) 1965
68.5%
ASCII
ValueCountFrequency (%)
149
39.5%
( 52
 
13.8%
) 52
 
13.8%
1 7
 
1.9%
M 6
 
1.6%
a 6
 
1.6%
t 6
 
1.6%
o 6
 
1.6%
F 5
 
1.3%
e 5
 
1.3%
Other values (38) 83
22.0%
CJK
ValueCountFrequency (%)
韓 1
100.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

소재지주소
Text

Distinct449
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-11T01:59:59.239162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length32.502146
Min length17

Characters and Unicode

Total characters15146
Distinct characters219
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

Unique432 ?
Unique (%)92.7%

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 466
 
16.7%
해운대구 466
 
16.7%
반여동 103
 
3.7%
1층 89
 
3.2%
우동 81
 
2.9%
재송동 74
 
2.7%
좌동 64
 
2.3%
반송동 54
 
1.9%
중동 53
 
1.9%
상가동 40
 
1.4%
Other values (623) 1295
46.5%
2023-12-11T01:59:59.953915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2319
 
15.3%
1 668
 
4.4%
동 625
 
4.1%
대 595
 
3.9%
해 563
 
3.7%
운 557
 
3.7%
시 503
 
3.3%
산 493
 
3.3%
구 478
 
3.2%
부 468
 
3.1%
Other values (209) 7877
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9085
60.0%
Decimal Number 2375
 
15.7%
Space Separator 2319
 
15.3%
Close Punctuation 435
 
2.9%
Open Punctuation 435
 
2.9%
Other Punctuation 328
 
2.2%
Dash Punctuation 136
 
0.9%
Uppercase Letter 32
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 625
 
6.9%
대 595
 
6.5%
해 563
 
6.2%
운 557
 
6.1%
시 503
 
5.5%
산 493
 
5.4%
구 478
 
5.3%
부 468
 
5.2%
광 467
 
5.1%
역 466
 
5.1%
Other values (183) 3870
42.6%
Decimal Number
ValueCountFrequency (%)
1 668
28.1%
2 333
14.0%
0 243
 
10.2%
3 227
 
9.6%
5 178
 
7.5%
4 168
 
7.1%
6 156
 
6.6%
8 147
 
6.2%
7 128
 
5.4%
9 127
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 10
31.2%
A 8
25.0%
E 3
 
9.4%
C 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 (%)
, 327
99.7%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2319
100.0%
Close Punctuation
ValueCountFrequency (%)
) 435
100.0%
Open Punctuation
ValueCountFrequency (%)
( 435
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9085
60.0%
Common 6028
39.8%
Latin 33
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 625
 
6.9%
대 595
 
6.5%
해 563
 
6.2%
운 557
 
6.1%
시 503
 
5.5%
산 493
 
5.4%
구 478
 
5.3%
부 468
 
5.2%
광 467
 
5.1%
역 466
 
5.1%
Other values (183) 3870
42.6%
Common
ValueCountFrequency (%)
2319
38.5%
1 668
 
11.1%
) 435
 
7.2%
( 435
 
7.2%
2 333
 
5.5%
, 327
 
5.4%
0 243
 
4.0%
3 227
 
3.8%
5 178
 
3.0%
4 168
 
2.8%
Other values (6) 695
 
11.5%
Latin
ValueCountFrequency (%)
B 10
30.3%
A 8
24.2%
E 3
 
9.1%
C 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 9085
60.0%
ASCII 6061
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2319
38.3%
1 668
 
11.0%
) 435
 
7.2%
( 435
 
7.2%
2 333
 
5.5%
, 327
 
5.4%
0 243
 
4.0%
3 227
 
3.7%
5 178
 
2.9%
4 168
 
2.8%
Other values (16) 728
 
12.0%
Hangul
ValueCountFrequency (%)
동 625
 
6.9%
대 595
 
6.5%
해 563
 
6.2%
운 557
 
6.1%
시 503
 
5.5%
산 493
 
5.4%
구 478
 
5.3%
부 468
 
5.2%
광 467
 
5.1%
역 466
 
5.1%
Other values (183) 3870
42.6%

Interactions

2023-12-11T01:59:55.788254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:00:00.107941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.717
판매업구분명0.7171.000
2023-12-11T02:00:00.234394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.482
판매업구분명0.4821.000

Missing values

2023-12-11T01:59:55.984578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:59:56.138085image/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
456457식육즉석판매가공업남산식당by청기와오리부산광역시 해운대구 해운대해변로357번길 17, 1층 102호 (중동)
457458식육즉석판매가공업GS 프레쉬 마린시티점부산광역시 해운대구 마린시티2로 33, 지하1층 101호 (우동, 해운대두산위브더제니스)
458459식육즉석판매가공업스무고개부산광역시 해운대구 좌동순환로468번가길 81 (중동)
459460식육즉석판매가공업한우촌부산광역시 해운대구 마린시티2로 33, 104동 132호 (우동, 해운대두산위브더제니스)
460461식육즉석판매가공업통바지부산광역시 해운대구 대천로106번길 20, 1층 (좌동)
461462식육즉석판매가공업홍익상회부산광역시 해운대구 재반로211번길 28-45 (반여동)
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