Overview

Dataset statistics

Number of variables5
Number of observations840
Missing cells4
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.8 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description인천광역시 서구의 축산물판매업소 현황 정보 (판매업구분명, 사업장명칭, 소재지 등) 에 관하여 데이터를 제공합니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15039516/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:51:22.115383
Analysis finished2023-12-12 01:51:22.964059
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct840
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean420.5
Minimum1
Maximum840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-12T10:51:23.101190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile42.95
Q1210.75
median420.5
Q3630.25
95-th percentile798.05
Maximum840
Range839
Interquartile range (IQR)419.5

Descriptive statistics

Standard deviation242.63141
Coefficient of variation (CV)0.57700691
Kurtosis-1.2
Mean420.5
Median Absolute Deviation (MAD)210
Skewness0
Sum353220
Variance58870
MonotonicityStrictly increasing
2023-12-12T10:51:23.314836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
579 1
 
0.1%
555 1
 
0.1%
556 1
 
0.1%
557 1
 
0.1%
558 1
 
0.1%
559 1
 
0.1%
560 1
 
0.1%
561 1
 
0.1%
562 1
 
0.1%
Other values (830) 830
98.8%
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 (%)
840 1
0.1%
839 1
0.1%
838 1
0.1%
837 1
0.1%
836 1
0.1%
835 1
0.1%
834 1
0.1%
833 1
0.1%
832 1
0.1%
831 1
0.1%

판매업구분명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
식육판매업
505 
축산물유통전문판매업
174 
우유류판매업
104 
식육부산물전문판매업
 
41
식용란수집판매업
 
16

Length

Max length10
Median length5
Mean length6.4607143
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 505
60.1%
축산물유통전문판매업 174
 
20.7%
우유류판매업 104
 
12.4%
식육부산물전문판매업 41
 
4.9%
식용란수집판매업 16
 
1.9%

Length

2023-12-12T10:51:23.522667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:51:23.685277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 505
60.1%
축산물유통전문판매업 174
 
20.7%
우유류판매업 104
 
12.4%
식육부산물전문판매업 41
 
4.9%
식용란수집판매업 16
 
1.9%

사업장명칭
Text

Distinct751
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T10:51:23.992236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.4214286
Min length2

Characters and Unicode

Total characters5394
Distinct characters417
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique666 ?
Unique (%)79.3%

Sample

1st row주서울우유 석남1동2동 고객센터
2nd row대신정육점
3rd row삼양대관령우유서인천특약점
4th row형제정육점
5th row안성정육점
ValueCountFrequency (%)
주식회사 108
 
10.0%
농업회사법인 14
 
1.3%
서울우유 9
 
0.8%
정육점 9
 
0.8%
미트 5
 
0.5%
축산 5
 
0.5%
남양유업 4
 
0.4%
인천공장 4
 
0.4%
검단점 4
 
0.4%
삼희식품 3
 
0.3%
Other values (802) 918
84.8%
2023-12-12T10:51:24.882348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 302
 
5.6%
243
 
4.5%
사 153
 
2.8%
식 152
 
2.8%
트 149
 
2.8%
회 145
 
2.7%
유 133
 
2.5%
미 128
 
2.4%
드 126
 
2.3%
산 125
 
2.3%
Other values (407) 3738
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5051
93.6%
Space Separator 243
 
4.5%
Uppercase Letter 62
 
1.1%
Lowercase Letter 17
 
0.3%
Other Punctuation 10
 
0.2%
Decimal Number 10
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 302
 
6.0%
사 153
 
3.0%
식 152
 
3.0%
트 149
 
2.9%
회 145
 
2.9%
유 133
 
2.6%
미 128
 
2.5%
드 126
 
2.5%
산 125
 
2.5%
우 116
 
2.3%
Other values (370) 3522
69.7%
Uppercase Letter
ValueCountFrequency (%)
S 13
21.0%
F 8
12.9%
D 6
9.7%
B 4
 
6.5%
C 4
 
6.5%
K 4
 
6.5%
M 4
 
6.5%
T 3
 
4.8%
Y 2
 
3.2%
J 2
 
3.2%
Other values (9) 12
19.4%
Lowercase Letter
ValueCountFrequency (%)
m 4
23.5%
a 4
23.5%
e 4
23.5%
t 3
17.6%
r 1
 
5.9%
i 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 3
30.0%
5 1
 
10.0%
6 1
 
10.0%
3 1
 
10.0%
4 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 7
70.0%
· 1
 
10.0%
. 1
 
10.0%
, 1
 
10.0%
Space Separator
ValueCountFrequency (%)
243
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5051
93.6%
Common 263
 
4.9%
Latin 79
 
1.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 302
 
6.0%
사 153
 
3.0%
식 152
 
3.0%
트 149
 
2.9%
회 145
 
2.9%
유 133
 
2.6%
미 128
 
2.5%
드 126
 
2.5%
산 125
 
2.5%
우 116
 
2.3%
Other values (370) 3522
69.7%
Latin
ValueCountFrequency (%)
S 13
16.5%
F 8
 
10.1%
D 6
 
7.6%
B 4
 
5.1%
C 4
 
5.1%
m 4
 
5.1%
a 4
 
5.1%
K 4
 
5.1%
M 4
 
5.1%
e 4
 
5.1%
Other values (15) 24
30.4%
Common
ValueCountFrequency (%)
243
92.4%
& 7
 
2.7%
1 3
 
1.1%
2 3
 
1.1%
5 1
 
0.4%
6 1
 
0.4%
3 1
 
0.4%
· 1
 
0.4%
. 1
 
0.4%
4 1
 
0.4%
Han
ValueCountFrequency (%)
味 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5050
93.6%
ASCII 341
 
6.3%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 302
 
6.0%
사 153
 
3.0%
식 152
 
3.0%
트 149
 
3.0%
회 145
 
2.9%
유 133
 
2.6%
미 128
 
2.5%
드 126
 
2.5%
산 125
 
2.5%
우 116
 
2.3%
Other values (369) 3521
69.7%
ASCII
ValueCountFrequency (%)
243
71.3%
S 13
 
3.8%
F 8
 
2.3%
& 7
 
2.1%
D 6
 
1.8%
B 4
 
1.2%
C 4
 
1.2%
m 4
 
1.2%
a 4
 
1.2%
K 4
 
1.2%
Other values (25) 44
 
12.9%
CJK
ValueCountFrequency (%)
味 1
100.0%
None
ValueCountFrequency (%)
· 1
50.0%
㈜ 1
50.0%

소재지
Text

Distinct647
Distinct (%)77.4%
Missing4
Missing (%)0.5%
Memory size6.7 KiB
2023-12-12T10:51:25.267399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length22.869617
Min length13

Characters and Unicode

Total characters19119
Distinct characters225
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

Unique539 ?
Unique (%)64.5%

Sample

1st row인천광역시 서구 석남동 550-11
2nd row인천광역시 서구 가좌동 477-4
3rd row인천광역시 서구 가좌동 142
4th row인천광역시 서구 가좌동 189-1
5th row인천광역시 서구 가좌동 477-4
ValueCountFrequency (%)
인천광역시 836
21.0%
서구 836
21.0%
가좌동 377
 
9.5%
석남동 85
 
2.1%
482 69
 
1.7%
금곡동 51
 
1.3%
인천축산물백화점 49
 
1.2%
청라동 39
 
1.0%
101호 39
 
1.0%
마전동 35
 
0.9%
Other values (775) 1559
39.2%
2023-12-12T10:51:25.813696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3698
19.3%
동 895
 
4.7%
인 889
 
4.6%
천 888
 
4.6%
1 881
 
4.6%
서 855
 
4.5%
시 841
 
4.4%
광 840
 
4.4%
구 837
 
4.4%
역 836
 
4.4%
Other values (215) 7659
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10201
53.4%
Decimal Number 4389
23.0%
Space Separator 3698
 
19.3%
Dash Punctuation 696
 
3.6%
Uppercase Letter 76
 
0.4%
Close Punctuation 23
 
0.1%
Open Punctuation 23
 
0.1%
Other Punctuation 7
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 895
 
8.8%
인 889
 
8.7%
천 888
 
8.7%
서 855
 
8.4%
시 841
 
8.2%
광 840
 
8.2%
구 837
 
8.2%
역 836
 
8.2%
가 437
 
4.3%
좌 390
 
3.8%
Other values (181) 2493
24.4%
Uppercase Letter
ValueCountFrequency (%)
B 16
21.1%
G 13
17.1%
J 10
13.2%
A 9
11.8%
E 5
 
6.6%
C 5
 
6.6%
L 5
 
6.6%
S 4
 
5.3%
W 2
 
2.6%
T 2
 
2.6%
Other values (3) 5
 
6.6%
Decimal Number
ValueCountFrequency (%)
1 881
20.1%
2 602
13.7%
4 583
13.3%
0 405
9.2%
7 364
8.3%
8 351
 
8.0%
3 342
 
7.8%
5 332
 
7.6%
6 319
 
7.3%
9 210
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
n 1
33.3%
p 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
@ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
3698
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 696
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10201
53.4%
Common 8838
46.2%
Latin 80
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 895
 
8.8%
인 889
 
8.7%
천 888
 
8.7%
서 855
 
8.4%
시 841
 
8.2%
광 840
 
8.2%
구 837
 
8.2%
역 836
 
8.2%
가 437
 
4.3%
좌 390
 
3.8%
Other values (181) 2493
24.4%
Common
ValueCountFrequency (%)
3698
41.8%
1 881
 
10.0%
- 696
 
7.9%
2 602
 
6.8%
4 583
 
6.6%
0 405
 
4.6%
7 364
 
4.1%
8 351
 
4.0%
3 342
 
3.9%
5 332
 
3.8%
Other values (7) 584
 
6.6%
Latin
ValueCountFrequency (%)
B 16
20.0%
G 13
16.2%
J 10
12.5%
A 9
11.2%
E 5
 
6.2%
C 5
 
6.2%
L 5
 
6.2%
S 4
 
5.0%
W 2
 
2.5%
T 2
 
2.5%
Other values (7) 9
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10201
53.4%
ASCII 8917
46.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3698
41.5%
1 881
 
9.9%
- 696
 
7.8%
2 602
 
6.8%
4 583
 
6.5%
0 405
 
4.5%
7 364
 
4.1%
8 351
 
3.9%
3 342
 
3.8%
5 332
 
3.7%
Other values (23) 663
 
7.4%
Hangul
ValueCountFrequency (%)
동 895
 
8.8%
인 889
 
8.7%
천 888
 
8.7%
서 855
 
8.4%
시 841
 
8.2%
광 840
 
8.2%
구 837
 
8.2%
역 836
 
8.2%
가 437
 
4.3%
좌 390
 
3.8%
Other values (181) 2493
24.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
Minimum2023-10-18 00:00:00
Maximum2023-10-18 00:00:00
2023-12-12T10:51:25.967814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:51:26.121105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T10:51:22.616366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:51:26.218726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.444
판매업구분명0.4441.000
2023-12-12T10:51:26.334400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.199
판매업구분명0.1991.000

Missing values

2023-12-12T10:51:22.765397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:51:22.907784image/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

연번판매업구분명사업장명칭소재지데이터기준일자
01우유류판매업주서울우유 석남1동2동 고객센터인천광역시 서구 석남동 550-112023-10-18
12식육판매업대신정육점인천광역시 서구 가좌동 477-42023-10-18
23우유류판매업삼양대관령우유서인천특약점인천광역시 서구 가좌동 1422023-10-18
34식육판매업형제정육점인천광역시 서구 가좌동 189-12023-10-18
45식육판매업안성정육점인천광역시 서구 가좌동 477-42023-10-18
56식육판매업무궁화정육점인천광역시 서구 가좌동 477-42023-10-18
67식육판매업황해정육점인천광역시 서구 석남동 587-482023-10-18
78식육판매업신태양정육점인천광역시 서구 석남동 579-42023-10-18
89식육판매업윤미정육점인천광역시 서구 가좌동 345-72023-10-18
910식육판매업동부축산정육점인천광역시 서구 가좌동 475-82023-10-18
연번판매업구분명사업장명칭소재지데이터기준일자
830831축산물유통전문판매업주제일씨엔에프인천광역시 서구 금곡동 745-52023-10-18
831832식육판매업소우미트인천광역시 서구 가좌동 143-932023-10-18
832833식육판매업주아이에스컴퍼니인천광역시 서구 가좌동 562-242023-10-18
833834축산물유통전문판매업정호푸드 주식회사인천광역시 서구 오류동 1547-52023-10-18
834835축산물유통전문판매업델아사도 정육점인천광역시 서구 마전동 1138 WEST VILLAGE2023-10-18
835836식육판매업델아사도 정육점인천광역시 서구 마전동 1138 WEST VILLAGE2023-10-18
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