Overview

Dataset statistics

Number of variables5
Number of observations159
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory41.8 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description인천광역시 중구 축산물 판매업소에 대한 데이터입니다.파일명 인천광역시 중구 축산물판매업소내용 영업의 종류, 사업장명칭, 소재지 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3043898&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 판매업구분명High correlation
판매업구분명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:24:38.936795
Analysis finished2024-01-28 08:24:39.393529
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80
Minimum1
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-28T17:24:39.454114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.9
Q140.5
median80
Q3119.5
95-th percentile151.1
Maximum159
Range158
Interquartile range (IQR)79

Descriptive statistics

Standard deviation46.043458
Coefficient of variation (CV)0.57554322
Kurtosis-1.2
Mean80
Median Absolute Deviation (MAD)40
Skewness0
Sum12720
Variance2120
MonotonicityStrictly increasing
2024-01-28T17:24:39.885818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
2 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
Other values (149) 149
93.7%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%

판매업구분명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
식육판매업
71 
식육즉석판매가공업
35 
축산물유통전문판매업
27 
우유류판매업
23 
식용란수집판매업
 
2

Length

Max length10
Median length9
Mean length6.9433962
Min length5

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row식용란수집판매업
2nd row식용란수집판매업
3rd row식육부산물전문판매업
4th row식육즉석판매가공업
5th row식육즉석판매가공업

Common Values

ValueCountFrequency (%)
식육판매업 71
44.7%
식육즉석판매가공업 35
22.0%
축산물유통전문판매업 27
 
17.0%
우유류판매업 23
 
14.5%
식용란수집판매업 2
 
1.3%
식육부산물전문판매업 1
 
0.6%

Length

2024-01-28T17:24:40.000429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:24:40.101401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 71
44.7%
식육즉석판매가공업 35
22.0%
축산물유통전문판매업 27
 
17.0%
우유류판매업 23
 
14.5%
식용란수집판매업 2
 
1.3%
식육부산물전문판매업 1
 
0.6%

사업장명칭
Text

Distinct154
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-28T17:24:40.319608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length7.1698113
Min length2

Characters and Unicode

Total characters1140
Distinct characters256
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)93.7%

Sample

1st row논골
2nd row(주)삼양사 인천2공장
3rd row주식회사 임박사축산물미트
4th rowThe조은마트정육
5th row미추홀축산물도소매전문점
ValueCountFrequency (%)
주식회사 7
 
3.1%
영종대리점 4
 
1.8%
매일유업 4
 
1.8%
정육점 3
 
1.3%
서울우유 3
 
1.3%
주)삼양사 2
 
0.9%
본점 2
 
0.9%
하나로마트 2
 
0.9%
정육 2
 
0.9%
동인천대리점 2
 
0.9%
Other values (183) 193
86.2%
2024-01-28T17:24:40.669689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
5.7%
점 43
 
3.8%
주 34
 
3.0%
( 27
 
2.4%
정 27
 
2.4%
육 27
 
2.4%
) 27
 
2.4%
산 26
 
2.3%
유 24
 
2.1%
축 22
 
1.9%
Other values (246) 818
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1004
88.1%
Space Separator 65
 
5.7%
Open Punctuation 27
 
2.4%
Close Punctuation 27
 
2.4%
Uppercase Letter 7
 
0.6%
Other Punctuation 3
 
0.3%
Decimal Number 2
 
0.2%
Connector Punctuation 2
 
0.2%
Lowercase Letter 2
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 43
 
4.3%
주 34
 
3.4%
정 27
 
2.7%
육 27
 
2.7%
산 26
 
2.6%
유 24
 
2.4%
축 22
 
2.2%
트 22
 
2.2%
드 21
 
2.1%
우 20
 
2.0%
Other values (229) 738
73.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
14.3%
O 1
14.3%
F 1
14.3%
B 1
14.3%
Y 1
14.3%
H 1
14.3%
T 1
14.3%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
＆ 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
h 1
50.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1004
88.1%
Common 126
 
11.1%
Latin 9
 
0.8%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 43
 
4.3%
주 34
 
3.4%
정 27
 
2.7%
육 27
 
2.7%
산 26
 
2.6%
유 24
 
2.4%
축 22
 
2.2%
트 22
 
2.2%
드 21
 
2.1%
우 20
 
2.0%
Other values (229) 738
73.5%
Latin
ValueCountFrequency (%)
S 1
11.1%
O 1
11.1%
F 1
11.1%
B 1
11.1%
Y 1
11.1%
H 1
11.1%
e 1
11.1%
T 1
11.1%
h 1
11.1%
Common
ValueCountFrequency (%)
65
51.6%
( 27
21.4%
) 27
21.4%
2 2
 
1.6%
& 2
 
1.6%
_ 2
 
1.6%
＆ 1
 
0.8%
Han
ValueCountFrequency (%)
新 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1003
88.0%
ASCII 134
 
11.8%
None 2
 
0.2%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
48.5%
( 27
20.1%
) 27
20.1%
2 2
 
1.5%
& 2
 
1.5%
_ 2
 
1.5%
S 1
 
0.7%
O 1
 
0.7%
F 1
 
0.7%
B 1
 
0.7%
Other values (5) 5
 
3.7%
Hangul
ValueCountFrequency (%)
점 43
 
4.3%
주 34
 
3.4%
정 27
 
2.7%
육 27
 
2.7%
산 26
 
2.6%
유 24
 
2.4%
축 22
 
2.2%
트 22
 
2.2%
드 21
 
2.1%
우 20
 
2.0%
Other values (228) 737
73.5%
None
ValueCountFrequency (%)
㈜ 1
50.0%
＆ 1
50.0%
CJK
ValueCountFrequency (%)
新 1
100.0%

소재지주소
Text

Distinct152
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-28T17:24:40.921357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length43
Mean length31.503145
Min length21

Characters and Unicode

Total characters5009
Distinct characters175
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

Unique145 ?
Unique (%)91.2%

Sample

1st row인천광역시 중구 백운로 416, 1호 (운북동)
2nd row인천광역시 중구 축항대로290번길 121, 삼양사인천공장 (신흥동3가)
3rd row인천광역시 중구 우현로87번길 17 (인현동)
4th row인천광역시 중구 신포로27번길 30 (관동2가)
5th row인천광역시 중구 우현로 71-1, 1층 (인현동)
ValueCountFrequency (%)
인천광역시 159
 
16.8%
중구 159
 
16.8%
항동7가 31
 
3.3%
중산동 31
 
3.3%
1층 28
 
3.0%
운서동 13
 
1.4%
2층 11
 
1.2%
연안부두로107번길 10
 
1.1%
34 10
 
1.1%
운남동 9
 
0.9%
Other values (309) 487
51.4%
2024-01-28T17:24:41.288705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
790
 
15.8%
1 240
 
4.8%
중 215
 
4.3%
동 177
 
3.5%
인 172
 
3.4%
시 168
 
3.4%
천 163
 
3.3%
구 161
 
3.2%
) 159
 
3.2%
( 159
 
3.2%
Other values (165) 2605
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2813
56.2%
Decimal Number 919
 
18.3%
Space Separator 790
 
15.8%
Close Punctuation 159
 
3.2%
Open Punctuation 159
 
3.2%
Other Punctuation 118
 
2.4%
Dash Punctuation 42
 
0.8%
Uppercase Letter 8
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 215
 
7.6%
동 177
 
6.3%
인 172
 
6.1%
시 168
 
6.0%
천 163
 
5.8%
구 161
 
5.7%
역 159
 
5.7%
광 159
 
5.7%
로 158
 
5.6%
길 106
 
3.8%
Other values (146) 1175
41.8%
Decimal Number
ValueCountFrequency (%)
1 240
26.1%
2 121
13.2%
3 99
10.8%
0 94
 
10.2%
4 82
 
8.9%
7 77
 
8.4%
5 61
 
6.6%
6 50
 
5.4%
9 50
 
5.4%
8 45
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
75.0%
L 1
 
12.5%
S 1
 
12.5%
Space Separator
ValueCountFrequency (%)
790
100.0%
Close Punctuation
ValueCountFrequency (%)
) 159
100.0%
Open Punctuation
ValueCountFrequency (%)
( 159
100.0%
Other Punctuation
ValueCountFrequency (%)
, 118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2813
56.2%
Common 2187
43.7%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 215
 
7.6%
동 177
 
6.3%
인 172
 
6.1%
시 168
 
6.0%
천 163
 
5.8%
구 161
 
5.7%
역 159
 
5.7%
광 159
 
5.7%
로 158
 
5.6%
길 106
 
3.8%
Other values (146) 1175
41.8%
Common
ValueCountFrequency (%)
790
36.1%
1 240
 
11.0%
) 159
 
7.3%
( 159
 
7.3%
2 121
 
5.5%
, 118
 
5.4%
3 99
 
4.5%
0 94
 
4.3%
4 82
 
3.7%
7 77
 
3.5%
Other values (5) 248
 
11.3%
Latin
ValueCountFrequency (%)
B 6
66.7%
L 1
 
11.1%
S 1
 
11.1%
e 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2813
56.2%
ASCII 2196
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
790
36.0%
1 240
 
10.9%
) 159
 
7.2%
( 159
 
7.2%
2 121
 
5.5%
, 118
 
5.4%
3 99
 
4.5%
0 94
 
4.3%
4 82
 
3.7%
7 77
 
3.5%
Other values (9) 257
 
11.7%
Hangul
ValueCountFrequency (%)
중 215
 
7.6%
동 177
 
6.3%
인 172
 
6.1%
시 168
 
6.0%
천 163
 
5.8%
구 161
 
5.7%
역 159
 
5.7%
광 159
 
5.7%
로 158
 
5.6%
길 106
 
3.8%
Other values (146) 1175
41.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2023-07-28 00:00:00
Maximum2023-07-28 00:00:00
2024-01-28T17:24:41.387717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:24:41.459250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T17:24:39.189582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:24:41.516410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.869
판매업구분명0.8691.000
2024-01-28T17:24:41.589774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번판매업구분명
연번1.0000.689
판매업구분명0.6891.000

Missing values

2024-01-28T17:24:39.292671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:24:39.362742image/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

연번판매업구분명사업장명칭소재지주소데이터기준일자
01식용란수집판매업논골인천광역시 중구 백운로 416, 1호 (운북동)2023-07-28
12식용란수집판매업(주)삼양사 인천2공장인천광역시 중구 축항대로290번길 121, 삼양사인천공장 (신흥동3가)2023-07-28
23식육부산물전문판매업주식회사 임박사축산물미트인천광역시 중구 우현로87번길 17 (인현동)2023-07-28
34식육즉석판매가공업The조은마트정육인천광역시 중구 신포로27번길 30 (관동2가)2023-07-28
45식육즉석판매가공업미추홀축산물도소매전문점인천광역시 중구 우현로 71-1, 1층 (인현동)2023-07-28
56식육즉석판매가공업新총각네푸줏간인천광역시 중구 하늘별빛로65번길 8, 1층 13호 (중산동)2023-07-28
67식육즉석판매가공업연한우정육점인천광역시 중구 연안부두로33번길 19 (항동7가)2023-07-28
78식육즉석판매가공업장터 소비자 마트(동인천)인천광역시 중구 홍예문로 90 (인현동, 뉴코아타운아파트)2023-07-28
89식육즉석판매가공업형제축산인천광역시 중구 운서2로68번길 23, 1층 (운서동)2023-07-28
910식육즉석판매가공업올바른정육점인천광역시 중구 하늘별빛로65번길 7-3, 1층 104호 (중산동)2023-07-28
연번판매업구분명사업장명칭소재지주소데이터기준일자
149150축산물유통전문판매업아라푸드인천광역시 중구 연안부두로107번길 34, B동 2층 4호 (항동7가)2023-07-28
150151축산물유통전문판매업별푸드인천광역시 중구 연안부두로107번길 34, B동 2층 5호 (항동7가)2023-07-28
151152축산물유통전문판매업다겸푸드인천광역시 중구 연안부두로107번길 34, B동 2층 3호 (항동7가)2023-07-28
152153축산물유통전문판매업우보유통인천광역시 중구 연안부두로107번길 34, B동 2층 2호 (항동7가)2023-07-28
153154축산물유통전문판매업지성유통인천광역시 중구 연안부두로107번길 34, B동 2층 6호 (항동7가)2023-07-28
154155축산물유통전문판매업우신인천광역시 중구 연안부두로107번길 34, 2동 1층 (항동7가)2023-07-28
155156축산물유통전문판매업주식회사 명진에프엔비인천광역시 중구 연안부두로107번길 34, 2동 1층 (항동7가)2023-07-28
156157축산물유통전문판매업(주)일오삼푸드인천광역시 중구 연안부두로75번길 4, 2층 3호 (항동7가)2023-07-28
157158축산물유통전문판매업(주)큐도원인천광역시 중구 화랑목로 46-7, 백운팰리스 102, 103호 (운서동)2023-07-28
158159축산물유통전문판매업렐라푸드 주식회사인천광역시 중구 흰바위로232번길 73, 802호 (운남동)2023-07-28