Overview

Dataset statistics

Number of variables4
Number of observations445
Missing cells35
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory33.3 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description부산광역시해운대구_축산물판매업현황_20220922
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075774

Alerts

소재지주소(도로명) has 35 (7.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:00:01.849429
Analysis finished2023-12-10 17:00:02.778622
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct445
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223
Minimum1
Maximum445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-11T02:00:02.912063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.2
Q1112
median223
Q3334
95-th percentile422.8
Maximum445
Range444
Interquartile range (IQR)222

Descriptive statistics

Standard deviation128.60469
Coefficient of variation (CV)0.57670265
Kurtosis-1.2
Mean223
Median Absolute Deviation (MAD)111
Skewness0
Sum99235
Variance16539.167
MonotonicityStrictly increasing
2023-12-11T02:00:03.145078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
294 1
 
0.2%
305 1
 
0.2%
304 1
 
0.2%
303 1
 
0.2%
302 1
 
0.2%
301 1
 
0.2%
300 1
 
0.2%
299 1
 
0.2%
298 1
 
0.2%
Other values (435) 435
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 (%)
445 1
0.2%
444 1
0.2%
443 1
0.2%
442 1
0.2%
441 1
0.2%
440 1
0.2%
439 1
0.2%
438 1
0.2%
437 1
0.2%
436 1
0.2%

판매업구분명
Categorical

Distinct7
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
식육판매업
187 
식육즉석판매가공업
134 
우유류판매업
86 
축산물유통전문판매업
26 
식용란수집판매업
 
9
Other values (2)
 
3

Length

Max length10
Median length9
Mean length6.7797753
Min length5

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 187
42.0%
식육즉석판매가공업 134
30.1%
우유류판매업 86
19.3%
축산물유통전문판매업 26
 
5.8%
식용란수집판매업 9
 
2.0%
식육부산물전문판매업 2
 
0.4%
축산물수입판매업 1
 
0.2%

Length

2023-12-11T02:00:03.358351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:00:03.552161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 187
42.0%
식육즉석판매가공업 134
30.1%
우유류판매업 86
19.3%
축산물유통전문판매업 26
 
5.8%
식용란수집판매업 9
 
2.0%
식육부산물전문판매업 2
 
0.4%
축산물수입판매업 1
 
0.2%

사업장명칭
Text

Distinct420
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2023-12-11T02:00:04.027672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.0606742
Min length2

Characters and Unicode

Total characters3142
Distinct characters365
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

Unique396 ?
Unique (%)89.0%

Sample

1st row해운대식육점
2nd row형제식육점
3rd row대성식육점
4th row서주유유해운대대리점
5th row부산우유반여2대리점
ValueCountFrequency (%)
정육점 14
 
2.4%
주식회사 11
 
1.9%
해운대점 6
 
1.0%
정육 6
 
1.0%
장산점 5
 
0.9%
부산우유 5
 
0.9%
자연드림 5
 
0.9%
아이마트 4
 
0.7%
센텀점 4
 
0.7%
한우마루 3
 
0.5%
Other values (475) 525
89.3%
2023-12-11T02:00:04.745180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 174
 
5.5%
143
 
4.6%
대 100
 
3.2%
산 95
 
3.0%
육 92
 
2.9%
유 88
 
2.8%
우 87
 
2.8%
식 81
 
2.6%
리 75
 
2.4%
마 64
 
2.0%
Other values (355) 2143
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2795
89.0%
Space Separator 143
 
4.6%
Lowercase Letter 49
 
1.6%
Close Punctuation 48
 
1.5%
Open Punctuation 48
 
1.5%
Uppercase Letter 33
 
1.1%
Decimal Number 18
 
0.6%
Math Symbol 4
 
0.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 174
 
6.2%
대 100
 
3.6%
산 95
 
3.4%
육 92
 
3.3%
유 88
 
3.1%
우 87
 
3.1%
식 81
 
2.9%
리 75
 
2.7%
마 64
 
2.3%
트 58
 
2.1%
Other values (308) 1881
67.3%
Lowercase Letter
ValueCountFrequency (%)
o 6
12.2%
a 5
 
10.2%
e 4
 
8.2%
t 4
 
8.2%
m 3
 
6.1%
s 3
 
6.1%
d 3
 
6.1%
y 3
 
6.1%
n 2
 
4.1%
p 2
 
4.1%
Other values (10) 14
28.6%
Uppercase Letter
ValueCountFrequency (%)
M 6
18.2%
F 4
12.1%
K 4
12.1%
G 2
 
6.1%
B 2
 
6.1%
O 2
 
6.1%
D 2
 
6.1%
J 2
 
6.1%
S 2
 
6.1%
T 2
 
6.1%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
1 7
38.9%
8 4
22.2%
2 3
16.7%
6 2
 
11.1%
3 1
 
5.6%
4 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
＆ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2794
88.9%
Common 265
 
8.4%
Latin 82
 
2.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 174
 
6.2%
대 100
 
3.6%
산 95
 
3.4%
육 92
 
3.3%
유 88
 
3.1%
우 87
 
3.1%
식 81
 
2.9%
리 75
 
2.7%
마 64
 
2.3%
트 58
 
2.1%
Other values (307) 1880
67.3%
Latin
ValueCountFrequency (%)
o 6
 
7.3%
M 6
 
7.3%
a 5
 
6.1%
F 4
 
4.9%
e 4
 
4.9%
K 4
 
4.9%
t 4
 
4.9%
m 3
 
3.7%
s 3
 
3.7%
d 3
 
3.7%
Other values (25) 40
48.8%
Common
ValueCountFrequency (%)
143
54.0%
) 48
 
18.1%
( 48
 
18.1%
1 7
 
2.6%
8 4
 
1.5%
+ 4
 
1.5%
2 3
 
1.1%
& 3
 
1.1%
6 2
 
0.8%
3 1
 
0.4%
Other values (2) 2
 
0.8%
Han
ValueCountFrequency (%)
韓 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2794
88.9%
ASCII 346
 
11.0%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 174
 
6.2%
대 100
 
3.6%
산 95
 
3.4%
육 92
 
3.3%
유 88
 
3.1%
우 87
 
3.1%
식 81
 
2.9%
리 75
 
2.7%
마 64
 
2.3%
트 58
 
2.1%
Other values (307) 1880
67.3%
ASCII
ValueCountFrequency (%)
143
41.3%
) 48
 
13.9%
( 48
 
13.9%
1 7
 
2.0%
o 6
 
1.7%
M 6
 
1.7%
a 5
 
1.4%
F 4
 
1.2%
8 4
 
1.2%
+ 4
 
1.2%
Other values (36) 71
20.5%
None
ValueCountFrequency (%)
＆ 1
100.0%
CJK
ValueCountFrequency (%)
韓 1
100.0%

소재지주소(도로명)
Text

MISSING 

Distinct395
Distinct (%)96.3%
Missing35
Missing (%)7.9%
Memory size3.6 KiB
2023-12-11T02:00:05.308556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length32.814634
Min length22

Characters and Unicode

Total characters13454
Distinct characters207
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

Unique380 ?
Unique (%)92.7%

Sample

1st row부산광역시 해운대구 구남로41번길 13 (중동)
2nd row부산광역시 해운대구 좌동순환로468번가길 6 (중동)
3rd row부산광역시 해운대구 해운대해변로 329-6 (중동)
4th row부산광역시 해운대구 선수촌로207번길 41 (반여동)
5th row부산광역시 해운대구 우동1로 28 (우동)
ValueCountFrequency (%)
부산광역시 410
 
16.6%
해운대구 410
 
16.6%
반여동 90
 
3.6%
1층 76
 
3.1%
우동 68
 
2.8%
재송동 62
 
2.5%
좌동 57
 
2.3%
반송동 54
 
2.2%
중동 48
 
1.9%
상가동 37
 
1.5%
Other values (556) 1155
46.8%
2023-12-11T02:00:06.031019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2057
 
15.3%
1 573
 
4.3%
동 559
 
4.2%
대 528
 
3.9%
해 501
 
3.7%
운 497
 
3.7%
시 439
 
3.3%
산 435
 
3.2%
구 422
 
3.1%
부 412
 
3.1%
Other values (197) 7031
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8144
60.5%
Space Separator 2057
 
15.3%
Decimal Number 2017
 
15.0%
Close Punctuation 411
 
3.1%
Open Punctuation 411
 
3.1%
Other Punctuation 293
 
2.2%
Dash Punctuation 99
 
0.7%
Uppercase Letter 21
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 559
 
6.9%
대 528
 
6.5%
해 501
 
6.2%
운 497
 
6.1%
시 439
 
5.4%
산 435
 
5.3%
구 422
 
5.2%
부 412
 
5.1%
광 411
 
5.0%
역 410
 
5.0%
Other values (172) 3530
43.3%
Decimal Number
ValueCountFrequency (%)
1 573
28.4%
2 281
13.9%
3 191
 
9.5%
0 190
 
9.4%
5 157
 
7.8%
4 149
 
7.4%
6 142
 
7.0%
8 122
 
6.0%
9 109
 
5.4%
7 103
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 7
33.3%
B 6
28.6%
E 2
 
9.5%
N 2
 
9.5%
G 1
 
4.8%
K 1
 
4.8%
P 1
 
4.8%
C 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 292
99.7%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2057
100.0%
Close Punctuation
ValueCountFrequency (%)
) 411
100.0%
Open Punctuation
ValueCountFrequency (%)
( 411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8144
60.5%
Common 5288
39.3%
Latin 22
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 559
 
6.9%
대 528
 
6.5%
해 501
 
6.2%
운 497
 
6.1%
시 439
 
5.4%
산 435
 
5.3%
구 422
 
5.2%
부 412
 
5.1%
광 411
 
5.0%
역 410
 
5.0%
Other values (172) 3530
43.3%
Common
ValueCountFrequency (%)
2057
38.9%
1 573
 
10.8%
) 411
 
7.8%
( 411
 
7.8%
, 292
 
5.5%
2 281
 
5.3%
3 191
 
3.6%
0 190
 
3.6%
5 157
 
3.0%
4 149
 
2.8%
Other values (6) 576
 
10.9%
Latin
ValueCountFrequency (%)
A 7
31.8%
B 6
27.3%
E 2
 
9.1%
N 2
 
9.1%
G 1
 
4.5%
K 1
 
4.5%
b 1
 
4.5%
P 1
 
4.5%
C 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8144
60.5%
ASCII 5310
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2057
38.7%
1 573
 
10.8%
) 411
 
7.7%
( 411
 
7.7%
, 292
 
5.5%
2 281
 
5.3%
3 191
 
3.6%
0 190
 
3.6%
5 157
 
3.0%
4 149
 
2.8%
Other values (15) 598
 
11.3%
Hangul
ValueCountFrequency (%)
동 559
 
6.9%
대 528
 
6.5%
해 501
 
6.2%
운 497
 
6.1%
시 439
 
5.4%
산 435
 
5.3%
구 422
 
5.2%
부 412
 
5.1%
광 411
 
5.0%
역 410
 
5.0%
Other values (172) 3530
43.3%

Interactions

2023-12-11T02:00:02.394109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:00:06.194590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.693
판매업구분명0.6931.000
2023-12-11T02:00:06.315316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.442
판매업구분명0.4421.000

Missing values

2023-12-11T02:00:02.582132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:00:02.723543image/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(도로명)
01식육판매업해운대식육점부산광역시 해운대구 구남로41번길 13 (중동)
12식육판매업형제식육점<NA>
23식육판매업대성식육점부산광역시 해운대구 좌동순환로468번가길 6 (중동)
34우유류판매업서주유유해운대대리점부산광역시 해운대구 해운대해변로 329-6 (중동)
45우유류판매업부산우유반여2대리점부산광역시 해운대구 선수촌로207번길 41 (반여동)
56우유류판매업부산우유보급소부산광역시 해운대구 우동1로 28 (우동)
67식육판매업해성식육점부산광역시 해운대구 송정중앙로 30-1 (송정동)
78식육판매업오복식육점부산광역시 해운대구 윗반송로51번길 83-26 (반송동)
89식육판매업희망식육점부산광역시 해운대구 좌동순환로468번가길 6 (중동)
910식육판매업화목식육점부산광역시 해운대구 해운대로61번길 95-47 (반여동)
연번판매업구분명사업장명칭소재지주소(도로명)
435436식육즉석판매가공업두드림정육 해운대점부산광역시 해운대구 해운대해변로197번길 8, 1층 (우동)
436437식육즉석판매가공업대박정육점부산광역시 해운대구 재반로242번길 29-50 (반여동, 수안빌라)
437438식육즉석판매가공업우연부산광역시 해운대구 세실로 80 (좌동, 해운대케이씨씨스위첸)
438439식육즉석판매가공업진우린부산광역시 해운대구 선수촌로208번길 63-12, 1층 (반여동)
439440식육즉석판매가공업식육명인부산광역시 해운대구 중동2로34번길 15(중동, 롯데캐슬스타)
440441식육즉석판매가공업고기대장 장산점부산광역시 해운대구 세실로 80, 상가동 103호 (좌동, 해운대케이씨씨스위첸)
441442식육즉석판매가공업1등축산 우동점부산광역시 해운대구 우동1로 83, 1층 104호 (우동, 제세스마트빌라)
442443식육즉석판매가공업더하누부산광역시 해운대구 해운대로38번길 70, 1층 105호 (재송동)
443444식육즉석판매가공업주식회사 고기생각부산광역시 해운대구 우동1로20번가길 57, 1층 (우동)
444445식육즉석판매가공업조이박 꽃도새기부산광역시 해운대구 해운대로 185-5, 1층 (재송동)