Overview

Dataset statistics

Number of variables5
Number of observations2172
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory87.1 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description광주광역시 축산물 업소명(축산물판매업, 축산물보관업, 축산물운반업, 식육포장처리업, 식육즉석판매가공업)영업장 명칭, 소재지 정보를 안내드립니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15056139/fileData.do

Alerts

연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:23:51.800964
Analysis finished2024-03-14 09:23:53.675900
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1086.5
Minimum1
Maximum2172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.2 KiB
2024-03-14T18:23:53.947668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile109.55
Q1543.75
median1086.5
Q31629.25
95-th percentile2063.45
Maximum2172
Range2171
Interquartile range (IQR)1085.5

Descriptive statistics

Standard deviation627.14671
Coefficient of variation (CV)0.57721741
Kurtosis-1.2
Mean1086.5
Median Absolute Deviation (MAD)543
Skewness0
Sum2359878
Variance393313
MonotonicityStrictly increasing
2024-03-14T18:23:54.525532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1445 1
 
< 0.1%
1459 1
 
< 0.1%
1458 1
 
< 0.1%
1457 1
 
< 0.1%
1456 1
 
< 0.1%
1455 1
 
< 0.1%
1454 1
 
< 0.1%
1453 1
 
< 0.1%
1452 1
 
< 0.1%
Other values (2162) 2162
99.5%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2172 1
< 0.1%
2171 1
< 0.1%
2170 1
< 0.1%
2169 1
< 0.1%
2168 1
< 0.1%
2167 1
< 0.1%
2166 1
< 0.1%
2165 1
< 0.1%
2164 1
< 0.1%
2163 1
< 0.1%

인허가관할기관
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
광주광역시 북구
666 
광주광역시 광산구
541 
광주광역시 서구
509 
광주광역시 남구
320 
광주광역시 동구
136 

Length

Max length9
Median length8
Mean length8.2490792
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주광역시 남구
2nd row광주광역시 북구
3rd row광주광역시 북구
4th row광주광역시 북구
5th row광주광역시 북구

Common Values

ValueCountFrequency (%)
광주광역시 북구 666
30.7%
광주광역시 광산구 541
24.9%
광주광역시 서구 509
23.4%
광주광역시 남구 320
14.7%
광주광역시 동구 136
 
6.3%

Length

2024-03-14T18:23:55.029556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:23:55.379406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 2172
50.0%
북구 666
 
15.3%
광산구 541
 
12.5%
서구 509
 
11.7%
남구 320
 
7.4%
동구 136
 
3.1%

업소명
Text

Distinct1977
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2024-03-14T18:23:56.380874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length6.7173112
Min length2

Characters and Unicode

Total characters14590
Distinct characters535
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1814 ?
Unique (%)83.5%

Sample

1st row(뉴)월드유통
2nd row(유)고기다사랑
3rd row(유)믿음유통
4th row(유)뽀빠이축산
5th row(유)영암매실한우직판장
ValueCountFrequency (%)
주식회사 99
 
3.7%
농업회사법인 36
 
1.3%
유한회사 21
 
0.8%
식육점 18
 
0.7%
서울우유 18
 
0.7%
주)에치와이 14
 
0.5%
남양우유 12
 
0.4%
축산 11
 
0.4%
남양유업 11
 
0.4%
매일우유 11
 
0.4%
Other values (2070) 2439
90.7%
2024-03-14T18:23:57.880644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 561
 
3.8%
유 518
 
3.6%
518
 
3.6%
점 479
 
3.3%
식 432
 
3.0%
산 424
 
2.9%
우 386
 
2.6%
축 358
 
2.5%
) 351
 
2.4%
( 341
 
2.3%
Other values (525) 10222
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13181
90.3%
Space Separator 518
 
3.6%
Close Punctuation 351
 
2.4%
Open Punctuation 341
 
2.3%
Uppercase Letter 131
 
0.9%
Decimal Number 32
 
0.2%
Lowercase Letter 17
 
0.1%
Other Punctuation 15
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 561
 
4.3%
유 518
 
3.9%
점 479
 
3.6%
식 432
 
3.3%
산 424
 
3.2%
우 386
 
2.9%
축 358
 
2.7%
육 287
 
2.2%
한 272
 
2.1%
통 262
 
2.0%
Other values (474) 9202
69.8%
Uppercase Letter
ValueCountFrequency (%)
S 20
15.3%
D 17
13.0%
C 13
9.9%
F 12
9.2%
M 10
 
7.6%
A 8
 
6.1%
O 8
 
6.1%
B 6
 
4.6%
L 5
 
3.8%
Y 4
 
3.1%
Other values (12) 28
21.4%
Lowercase Letter
ValueCountFrequency (%)
r 3
17.6%
l 2
11.8%
a 2
11.8%
e 2
11.8%
m 2
11.8%
s 2
11.8%
t 1
 
5.9%
f 1
 
5.9%
p 1
 
5.9%
u 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 8
25.0%
1 7
21.9%
3 5
15.6%
5 4
12.5%
4 3
 
9.4%
6 2
 
6.2%
0 2
 
6.2%
8 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
& 7
46.7%
. 4
26.7%
, 2
 
13.3%
/ 1
 
6.7%
· 1
 
6.7%
Space Separator
ValueCountFrequency (%)
518
100.0%
Close Punctuation
ValueCountFrequency (%)
) 351
100.0%
Open Punctuation
ValueCountFrequency (%)
( 341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13182
90.3%
Common 1260
 
8.6%
Latin 148
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 561
 
4.3%
유 518
 
3.9%
점 479
 
3.6%
식 432
 
3.3%
산 424
 
3.2%
우 386
 
2.9%
축 358
 
2.7%
육 287
 
2.2%
한 272
 
2.1%
통 262
 
2.0%
Other values (475) 9203
69.8%
Latin
ValueCountFrequency (%)
S 20
13.5%
D 17
 
11.5%
C 13
 
8.8%
F 12
 
8.1%
M 10
 
6.8%
A 8
 
5.4%
O 8
 
5.4%
B 6
 
4.1%
L 5
 
3.4%
Y 4
 
2.7%
Other values (22) 45
30.4%
Common
ValueCountFrequency (%)
518
41.1%
) 351
27.9%
( 341
27.1%
2 8
 
0.6%
1 7
 
0.6%
& 7
 
0.6%
3 5
 
0.4%
. 4
 
0.3%
5 4
 
0.3%
4 3
 
0.2%
Other values (8) 12
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13181
90.3%
ASCII 1407
 
9.6%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 561
 
4.3%
유 518
 
3.9%
점 479
 
3.6%
식 432
 
3.3%
산 424
 
3.2%
우 386
 
2.9%
축 358
 
2.7%
육 287
 
2.2%
한 272
 
2.1%
통 262
 
2.0%
Other values (474) 9202
69.8%
ASCII
ValueCountFrequency (%)
518
36.8%
) 351
24.9%
( 341
24.2%
S 20
 
1.4%
D 17
 
1.2%
C 13
 
0.9%
F 12
 
0.9%
M 10
 
0.7%
A 8
 
0.6%
O 8
 
0.6%
Other values (39) 109
 
7.7%
None
ValueCountFrequency (%)
· 1
50.0%
㈜ 1
50.0%

업종
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
축산물판매업-식육판매업
1459 
축산물판매업-우유류판매업
377 
축산물판매업-축산물유통전문판매업
215 
축산물판매업-식용란수집판매업
 
79
축산물판매업-식육부산물전문판매업
 
42

Length

Max length17
Median length12
Mean length12.874309
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row축산물판매업-식육판매업
2nd row축산물판매업-식육판매업
3rd row축산물판매업-식육판매업
4th row축산물판매업-식육판매업
5th row축산물판매업-식육판매업

Common Values

ValueCountFrequency (%)
축산물판매업-식육판매업 1459
67.2%
축산물판매업-우유류판매업 377
 
17.4%
축산물판매업-축산물유통전문판매업 215
 
9.9%
축산물판매업-식용란수집판매업 79
 
3.6%
축산물판매업-식육부산물전문판매업 42
 
1.9%

Length

2024-03-14T18:23:58.130372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:23:58.484694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물판매업-식육판매업 1459
67.2%
축산물판매업-우유류판매업 377
 
17.4%
축산물판매업-축산물유통전문판매업 215
 
9.9%
축산물판매업-식용란수집판매업 79
 
3.6%
축산물판매업-식육부산물전문판매업 42
 
1.9%

업소주소
Text

Distinct2003
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2024-03-14T18:24:00.195477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length52
Mean length28.032689
Min length16

Characters and Unicode

Total characters60887
Distinct characters349
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1864 ?
Unique (%)85.8%

Sample

1st row광주광역시 남구 회재로1218번길 8-1 (주월동)
2nd row광주광역시 북구 서양로 47-1(중흥동)
3rd row광주광역시 북구 하서로176번길 32 (양산동,(1층) B-7)
4th row광주광역시 북구 북문대로169번길 45 (운암동)
5th row광주광역시 북구 저불로 88 (용봉동)
ValueCountFrequency (%)
광주광역시 2172
 
18.0%
북구 666
 
5.5%
광산구 541
 
4.5%
서구 509
 
4.2%
1층 354
 
2.9%
남구 320
 
2.7%
동구 136
 
1.1%
우산동 86
 
0.7%
쌍촌동 74
 
0.6%
매월동 68
 
0.6%
Other values (2296) 7110
59.1%
2024-03-14T18:24:02.644444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9868
 
16.2%
광 4954
 
8.1%
동 2739
 
4.5%
1 2706
 
4.4%
주 2294
 
3.8%
시 2209
 
3.6%
) 2193
 
3.6%
( 2193
 
3.6%
구 2191
 
3.6%
역 2172
 
3.6%
Other values (339) 27368
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35045
57.6%
Decimal Number 9932
 
16.3%
Space Separator 9868
 
16.2%
Close Punctuation 2193
 
3.6%
Open Punctuation 2193
 
3.6%
Other Punctuation 994
 
1.6%
Dash Punctuation 583
 
1.0%
Uppercase Letter 62
 
0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 4954
 
14.1%
동 2739
 
7.8%
주 2294
 
6.5%
시 2209
 
6.3%
구 2191
 
6.3%
역 2172
 
6.2%
로 1984
 
5.7%
길 1303
 
3.7%
번 1121
 
3.2%
산 1025
 
2.9%
Other values (303) 13053
37.2%
Uppercase Letter
ValueCountFrequency (%)
A 18
29.0%
B 17
27.4%
C 7
 
11.3%
S 4
 
6.5%
N 3
 
4.8%
D 3
 
4.8%
G 2
 
3.2%
K 2
 
3.2%
M 1
 
1.6%
P 1
 
1.6%
Other values (4) 4
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 2706
27.2%
2 1382
13.9%
3 991
 
10.0%
4 818
 
8.2%
0 784
 
7.9%
5 739
 
7.4%
6 681
 
6.9%
7 651
 
6.6%
8 599
 
6.0%
9 581
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
t 1
20.0%
r 1
20.0%
m 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 992
99.8%
/ 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
9868
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2193
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 583
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35045
57.6%
Common 25775
42.3%
Latin 67
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 4954
 
14.1%
동 2739
 
7.8%
주 2294
 
6.5%
시 2209
 
6.3%
구 2191
 
6.3%
역 2172
 
6.2%
로 1984
 
5.7%
길 1303
 
3.7%
번 1121
 
3.2%
산 1025
 
2.9%
Other values (303) 13053
37.2%
Common
ValueCountFrequency (%)
9868
38.3%
1 2706
 
10.5%
) 2193
 
8.5%
( 2193
 
8.5%
2 1382
 
5.4%
, 992
 
3.8%
3 991
 
3.8%
4 818
 
3.2%
0 784
 
3.0%
5 739
 
2.9%
Other values (8) 3109
 
12.1%
Latin
ValueCountFrequency (%)
A 18
26.9%
B 17
25.4%
C 7
 
10.4%
S 4
 
6.0%
N 3
 
4.5%
D 3
 
4.5%
a 2
 
3.0%
G 2
 
3.0%
K 2
 
3.0%
M 1
 
1.5%
Other values (8) 8
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35045
57.6%
ASCII 25842
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9868
38.2%
1 2706
 
10.5%
) 2193
 
8.5%
( 2193
 
8.5%
2 1382
 
5.3%
, 992
 
3.8%
3 991
 
3.8%
4 818
 
3.2%
0 784
 
3.0%
5 739
 
2.9%
Other values (26) 3176
 
12.3%
Hangul
ValueCountFrequency (%)
광 4954
 
14.1%
동 2739
 
7.8%
주 2294
 
6.5%
시 2209
 
6.3%
구 2191
 
6.3%
역 2172
 
6.2%
로 1984
 
5.7%
길 1303
 
3.7%
번 1121
 
3.2%
산 1025
 
2.9%
Other values (303) 13053
37.2%

Interactions

2024-03-14T18:23:52.716982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:24:02.827481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업종
연번1.0000.1510.946
인허가관할기관0.1511.0000.190
업종0.9460.1901.000
2024-03-14T18:24:02.981102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가관할기관업종
인허가관할기관1.0000.072
업종0.0721.000
2024-03-14T18:24:03.259580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업종
연번1.0000.0630.684
인허가관할기관0.0631.0000.072
업종0.6840.0721.000

Missing values

2024-03-14T18:23:53.159068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:23:53.570531image/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

연번인허가관할기관업소명업종업소주소
01광주광역시 남구(뉴)월드유통축산물판매업-식육판매업광주광역시 남구 회재로1218번길 8-1 (주월동)
12광주광역시 북구(유)고기다사랑축산물판매업-식육판매업광주광역시 북구 서양로 47-1(중흥동)
23광주광역시 북구(유)믿음유통축산물판매업-식육판매업광주광역시 북구 하서로176번길 32 (양산동,(1층) B-7)
34광주광역시 북구(유)뽀빠이축산축산물판매업-식육판매업광주광역시 북구 북문대로169번길 45 (운암동)
45광주광역시 북구(유)영암매실한우직판장축산물판매업-식육판매업광주광역시 북구 저불로 88 (용봉동)
56광주광역시 서구(유)오픈스토리축산물판매업-식육판매업광주광역시 서구 매월2로15번길 16, 매월 종합상가 105동 114호 (매월동)
67광주광역시 북구(유)우석유통축산물판매업-식육판매업광주광역시 북구 연양로 60, 1층 (양산동)
78광주광역시 북구(유)이비프라임미트전북축산물판매업-식육판매업광주광역시 북구 하서로672번길 55, 다동 2층 (용전동)
89광주광역시 북구(유)이비프라임미트전주축산물판매업-식육판매업광주광역시 북구 하서로672번길 55, 다동 2층 (용전동)
910광주광역시 북구(유)조은고기판매장(1)축산물판매업-식육판매업광주광역시 북구 용주로40번길 8, 2층 (용봉동)
연번인허가관할기관업소명업종업소주소
21622163광주광역시 광산구청계농산축산물판매업-식용란수집판매업광주광역시 광산구 우산로 74-5 (우산동)
21632164광주광역시 서구태양농장축산물판매업-식용란수집판매업광주광역시 서구 매월2로15번길 16, 매월 종합상가 204동 104호 (매월동)
21642165광주광역시 북구평화계란축산물판매업-식용란수집판매업광주광역시 북구 경양로 22-1 (임동, 평화아파트)
21652166광주광역시 서구평화계란축산물판매업-식용란수집판매업광주광역시 서구 무진대로 498-1, 2동 (덕흥동)
21662167광주광역시 서구평화축산 농업회사법인 유한회사축산물판매업-식용란수집판매업광주광역시 서구 무진대로 498, 1동 (덕흥동)
21672168광주광역시 서구풍년계란축산물판매업-식용란수집판매업광주광역시 서구 금부로95번길 16 (쌍촌동)
21682169광주광역시 북구한농계란축산물판매업-식용란수집판매업광주광역시 북구 반룡로 20-2 (용봉동)
21692170광주광역시 서구한성계란축산물판매업-식용란수집판매업광주광역시 서구 월드컵4강로81번길 7 (화정동)
21702171광주광역시 서구화신상회축산물판매업-식용란수집판매업광주광역시 서구 천변좌로 160 (양동)
21712172광주광역시 서구환남유통축산물판매업-식용란수집판매업광주광역시 서구 광천2길 18 (광천동)