Overview

Dataset statistics

Number of variables5
Number of observations292
Missing cells156
Missing cells (%)10.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory41.5 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description부산광역시해운대구_축산물판매업현황_20200327
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075774

Alerts

소재지주소 has 38 (13.0%) missing valuesMissing
연락처 has 118 (40.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:00:10.480160
Analysis finished2023-12-10 17:00:11.604301
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct292
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.5
Minimum1
Maximum292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-11T02:00:11.747554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.55
Q173.75
median146.5
Q3219.25
95-th percentile277.45
Maximum292
Range291
Interquartile range (IQR)145.5

Descriptive statistics

Standard deviation84.437354
Coefficient of variation (CV)0.57636419
Kurtosis-1.2
Mean146.5
Median Absolute Deviation (MAD)73
Skewness0
Sum42778
Variance7129.6667
MonotonicityStrictly increasing
2023-12-11T02:00:12.067452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
185 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
Other values (282) 282
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
292 1
0.3%
291 1
0.3%
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%

판매업구분명
Categorical

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
식육판매업
183 
우유류판매업
81 
축산물유통전문판매업
 
18
식용란수집판매업
 
9
축산물수입판매업
 
1

Length

Max length10
Median length5
Mean length5.6883562
Min length5

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 183
62.7%
우유류판매업 81
27.7%
축산물유통전문판매업 18
 
6.2%
식용란수집판매업 9
 
3.1%
축산물수입판매업 1
 
0.3%

Length

2023-12-11T02:00:12.339589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:00:12.563590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 183
62.7%
우유류판매업 81
27.7%
축산물유통전문판매업 18
 
6.2%
식용란수집판매업 9
 
3.1%
축산물수입판매업 1
 
0.3%

사업장명칭
Text

Distinct279
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T02:00:13.049750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length16
Mean length7.5445205
Min length2

Characters and Unicode

Total characters2203
Distinct characters315
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)91.1%

Sample

1st row(주)GS리테일 대동점
2nd row(주)HY STORE
3rd row(주)금복피앤씨
4th row(주)더그린하우스
5th row(주)더블유인터내셔널
ValueCountFrequency (%)
주식회사 5
 
1.4%
주)한국야쿠르트 5
 
1.4%
정육점 4
 
1.1%
부산우유 3
 
0.8%
해운대점 3
 
0.8%
매일유업 3
 
0.8%
반송대리점 2
 
0.6%
남양유업 2
 
0.6%
푸드 2
 
0.6%
전문점 2
 
0.6%
Other values (311) 328
91.4%
2023-12-11T02:00:14.267439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 126
 
5.7%
100
 
4.5%
대 89
 
4.0%
유 82
 
3.7%
식 71
 
3.2%
우 70
 
3.2%
리 64
 
2.9%
산 59
 
2.7%
육 57
 
2.6%
주 49
 
2.2%
Other values (305) 1436
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1934
87.8%
Space Separator 100
 
4.5%
Uppercase Letter 43
 
2.0%
Close Punctuation 42
 
1.9%
Open Punctuation 42
 
1.9%
Lowercase Letter 28
 
1.3%
Decimal Number 11
 
0.5%
Math Symbol 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 126
 
6.5%
대 89
 
4.6%
유 82
 
4.2%
식 71
 
3.7%
우 70
 
3.6%
리 64
 
3.3%
산 59
 
3.1%
육 57
 
2.9%
주 49
 
2.5%
해 35
 
1.8%
Other values (264) 1232
63.7%
Uppercase Letter
ValueCountFrequency (%)
S 9
20.9%
E 4
9.3%
H 4
9.3%
T 3
 
7.0%
G 3
 
7.0%
K 3
 
7.0%
R 3
 
7.0%
O 2
 
4.7%
M 2
 
4.7%
D 2
 
4.7%
Other values (7) 8
18.6%
Lowercase Letter
ValueCountFrequency (%)
a 4
14.3%
y 3
10.7%
o 3
10.7%
s 2
 
7.1%
c 2
 
7.1%
n 2
 
7.1%
e 2
 
7.1%
t 2
 
7.1%
m 2
 
7.1%
w 1
 
3.6%
Other values (5) 5
17.9%
Decimal Number
ValueCountFrequency (%)
1 7
63.6%
2 2
 
18.2%
3 1
 
9.1%
4 1
 
9.1%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1935
87.8%
Common 197
 
8.9%
Latin 71
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 126
 
6.5%
대 89
 
4.6%
유 82
 
4.2%
식 71
 
3.7%
우 70
 
3.6%
리 64
 
3.3%
산 59
 
3.0%
육 57
 
2.9%
주 49
 
2.5%
해 35
 
1.8%
Other values (265) 1233
63.7%
Latin
ValueCountFrequency (%)
S 9
 
12.7%
E 4
 
5.6%
H 4
 
5.6%
a 4
 
5.6%
y 3
 
4.2%
T 3
 
4.2%
G 3
 
4.2%
o 3
 
4.2%
K 3
 
4.2%
R 3
 
4.2%
Other values (22) 32
45.1%
Common
ValueCountFrequency (%)
100
50.8%
) 42
21.3%
( 42
21.3%
1 7
 
3.6%
2 2
 
1.0%
+ 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1934
87.8%
ASCII 268
 
12.2%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 126
 
6.5%
대 89
 
4.6%
유 82
 
4.2%
식 71
 
3.7%
우 70
 
3.6%
리 64
 
3.3%
산 59
 
3.1%
육 57
 
2.9%
주 49
 
2.5%
해 35
 
1.8%
Other values (264) 1232
63.7%
ASCII
ValueCountFrequency (%)
100
37.3%
) 42
15.7%
( 42
15.7%
S 9
 
3.4%
1 7
 
2.6%
E 4
 
1.5%
H 4
 
1.5%
a 4
 
1.5%
y 3
 
1.1%
T 3
 
1.1%
Other values (30) 50
18.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지주소
Text

MISSING 

Distinct244
Distinct (%)96.1%
Missing38
Missing (%)13.0%
Memory size2.4 KiB
2023-12-11T02:00:15.151461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length32.358268
Min length22

Characters and Unicode

Total characters8219
Distinct characters168
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

Unique234 ?
Unique (%)92.1%

Sample

1st row부산광역시 해운대구 대천로103번길 29 (좌동 대동타운지하상가)
2nd row부산광역시 해운대구 재반로 213 (반여동)
3rd row부산광역시 해운대구 센텀동로 25 상가동 2층 227호 (우동 대우월드마크센텀아파트)
4th row부산광역시 해운대구 해운대로483번길 10 상가동 3층 307-2호 (우동 롯데아파트)
5th row부산광역시 해운대구 삼어로91번길 120-21 (반여동)
ValueCountFrequency (%)
부산광역시 254
 
16.9%
해운대구 254
 
16.9%
반여동 61
 
4.1%
우동 50
 
3.3%
재송동 36
 
2.4%
좌동 33
 
2.2%
중동 31
 
2.1%
반송동 30
 
2.0%
상가동 26
 
1.7%
1층 17
 
1.1%
Other values (383) 707
47.2%
2023-12-11T02:00:16.792274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1388
 
16.9%
동 353
 
4.3%
1 329
 
4.0%
대 325
 
4.0%
해 303
 
3.7%
운 300
 
3.7%
시 276
 
3.4%
산 274
 
3.3%
구 263
 
3.2%
부 256
 
3.1%
Other values (158) 4152
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4979
60.6%
Space Separator 1388
 
16.9%
Decimal Number 1289
 
15.7%
Close Punctuation 254
 
3.1%
Open Punctuation 254
 
3.1%
Dash Punctuation 43
 
0.5%
Uppercase Letter 11
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 353
 
7.1%
대 325
 
6.5%
해 303
 
6.1%
운 300
 
6.0%
시 276
 
5.5%
산 274
 
5.5%
구 263
 
5.3%
부 256
 
5.1%
역 254
 
5.1%
광 254
 
5.1%
Other values (136) 2121
42.6%
Decimal Number
ValueCountFrequency (%)
1 329
25.5%
2 184
14.3%
0 140
10.9%
6 111
 
8.6%
3 110
 
8.5%
5 109
 
8.5%
4 93
 
7.2%
9 78
 
6.1%
8 72
 
5.6%
7 63
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
27.3%
E 2
18.2%
N 2
18.2%
A 1
 
9.1%
P 1
 
9.1%
C 1
 
9.1%
K 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1388
100.0%
Close Punctuation
ValueCountFrequency (%)
) 254
100.0%
Open Punctuation
ValueCountFrequency (%)
( 254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4979
60.6%
Common 3228
39.3%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 353
 
7.1%
대 325
 
6.5%
해 303
 
6.1%
운 300
 
6.0%
시 276
 
5.5%
산 274
 
5.5%
구 263
 
5.3%
부 256
 
5.1%
역 254
 
5.1%
광 254
 
5.1%
Other values (136) 2121
42.6%
Common
ValueCountFrequency (%)
1388
43.0%
1 329
 
10.2%
) 254
 
7.9%
( 254
 
7.9%
2 184
 
5.7%
0 140
 
4.3%
6 111
 
3.4%
3 110
 
3.4%
5 109
 
3.4%
4 93
 
2.9%
Other values (4) 256
 
7.9%
Latin
ValueCountFrequency (%)
B 3
25.0%
E 2
16.7%
N 2
16.7%
b 1
 
8.3%
A 1
 
8.3%
P 1
 
8.3%
C 1
 
8.3%
K 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4979
60.6%
ASCII 3240
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1388
42.8%
1 329
 
10.2%
) 254
 
7.8%
( 254
 
7.8%
2 184
 
5.7%
0 140
 
4.3%
6 111
 
3.4%
3 110
 
3.4%
5 109
 
3.4%
4 93
 
2.9%
Other values (12) 268
 
8.3%
Hangul
ValueCountFrequency (%)
동 353
 
7.1%
대 325
 
6.5%
해 303
 
6.1%
운 300
 
6.0%
시 276
 
5.5%
산 274
 
5.5%
구 263
 
5.3%
부 256
 
5.1%
역 254
 
5.1%
광 254
 
5.1%
Other values (136) 2121
42.6%

연락처
Text

MISSING 

Distinct171
Distinct (%)98.3%
Missing118
Missing (%)40.4%
Memory size2.4 KiB
2023-12-11T02:00:17.264576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.2011494
Min length8

Characters and Unicode

Total characters1427
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

Unique168 ?
Unique (%)96.6%

Sample

1st row701-0191
2nd row783-2525
3rd row666-6525
4th row781-0638
5th row583-0226
ValueCountFrequency (%)
726-8801 2
 
1.1%
757-6133 2
 
1.1%
704-7892 2
 
1.1%
709-8000 1
 
0.6%
745-2141 1
 
0.6%
709-5504 1
 
0.6%
543-8486 1
 
0.6%
704-0801 1
 
0.6%
784-0879 1
 
0.6%
744-1718 1
 
0.6%
Other values (161) 161
92.5%
2023-12-11T02:00:17.955016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 213
14.9%
- 181
12.7%
0 144
10.1%
4 137
9.6%
6 130
9.1%
5 114
8.0%
2 111
7.8%
1 109
7.6%
8 106
7.4%
3 103
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1246
87.3%
Dash Punctuation 181
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 213
17.1%
0 144
11.6%
4 137
11.0%
6 130
10.4%
5 114
9.1%
2 111
8.9%
1 109
8.7%
8 106
8.5%
3 103
8.3%
9 79
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1427
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 213
14.9%
- 181
12.7%
0 144
10.1%
4 137
9.6%
6 130
9.1%
5 114
8.0%
2 111
7.8%
1 109
7.6%
8 106
7.4%
3 103
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1427
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 213
14.9%
- 181
12.7%
0 144
10.1%
4 137
9.6%
6 130
9.1%
5 114
8.0%
2 111
7.8%
1 109
7.6%
8 106
7.4%
3 103
7.2%

Interactions

2023-12-11T02:00:10.929308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:00:18.106233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.435
판매업구분명0.4351.000
2023-12-11T02:00:18.236798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.193
판매업구분명0.1931.000

Missing values

2023-12-11T02:00:11.104219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:00:11.285217image/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.
2023-12-11T02:00:11.438413image/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

연번판매업구분명사업장명칭소재지주소연락처
01식육판매업(주)GS리테일 대동점부산광역시 해운대구 대천로103번길 29 (좌동 대동타운지하상가)701-0191
12식육판매업(주)HY STORE부산광역시 해운대구 재반로 213 (반여동)783-2525
23축산물유통전문판매업(주)금복피앤씨부산광역시 해운대구 센텀동로 25 상가동 2층 227호 (우동 대우월드마크센텀아파트)<NA>
34식육판매업(주)더그린하우스부산광역시 해운대구 해운대로483번길 10 상가동 3층 307-2호 (우동 롯데아파트)<NA>
45식육판매업(주)더블유인터내셔널부산광역시 해운대구 삼어로91번길 120-21 (반여동)<NA>
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