Overview

Dataset statistics

Number of variables7
Number of observations220
Missing cells66
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory57.6 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description경상북도 상주시 관내에 위치한 축산물판매업소에 대한 현황으로 업종, 상호, 이름, 도로명주소, 연락처에 대한 자료를 제공합니다.
Author경상북도 상주시
URLhttps://www.data.go.kr/data/15005335/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업종 is highly imbalanced (63.6%)Imbalance
연락처 has 66 (30.0%) missing valuesMissing
구분 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:39:46.643383
Analysis finished2023-12-11 23:39:47.245076
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct220
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.5
Minimum1
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T08:39:47.327591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.95
Q155.75
median110.5
Q3165.25
95-th percentile209.05
Maximum220
Range219
Interquartile range (IQR)109.5

Descriptive statistics

Standard deviation63.652704
Coefficient of variation (CV)0.57604257
Kurtosis-1.2
Mean110.5
Median Absolute Deviation (MAD)55
Skewness0
Sum24310
Variance4051.6667
MonotonicityStrictly increasing
2023-12-12T08:39:47.476072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
153 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
146 1
 
0.5%
147 1
 
0.5%
148 1
 
0.5%
149 1
 
0.5%
Other values (210) 210
95.5%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
220 1
0.5%
219 1
0.5%
218 1
0.5%
217 1
0.5%
216 1
0.5%
215 1
0.5%
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%

업종
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
식육판매업
187 
우유류판매업
 
18
식용란수집판매업
 
8
축산물유통전문판매업
 
6
축산물수입판매업
 
1

Length

Max length10
Median length5
Mean length5.3409091
Min length5

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 187
85.0%
우유류판매업 18
 
8.2%
식용란수집판매업 8
 
3.6%
축산물유통전문판매업 6
 
2.7%
축산물수입판매업 1
 
0.5%

Length

2023-12-12T08:39:47.653205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:39:47.766614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 187
85.0%
우유류판매업 18
 
8.2%
식용란수집판매업 8
 
3.6%
축산물유통전문판매업 6
 
2.7%
축산물수입판매업 1
 
0.5%

상호
Text

Distinct209
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:39:48.091712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.6409091
Min length2

Characters and Unicode

Total characters1461
Distinct characters230
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

Unique202 ?
Unique (%)91.8%

Sample

1st row(주)바로이마트 상주점
2nd row(주)비락상주대리점
3rd row(주)세창 수입육직판장
4th row(주)씨티푸드 (상주지점)
5th row(주)올품
ValueCountFrequency (%)
상주대리점 6
 
2.2%
상주식육점 4
 
1.5%
정육부 4
 
1.5%
하나로마트 4
 
1.5%
상주 4
 
1.5%
상주점 3
 
1.1%
식육점 3
 
1.1%
천년애한우 3
 
1.1%
삼봉산양지자연농원 3
 
1.1%
수입육직판장 2
 
0.7%
Other values (228) 235
86.7%
2023-12-12T08:39:48.644614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 114
 
7.8%
육 98
 
6.7%
식 79
 
5.4%
우 63
 
4.3%
51
 
3.5%
주 45
 
3.1%
상 43
 
2.9%
한 38
 
2.6%
마 36
 
2.5%
트 29
 
2.0%
Other values (220) 865
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1373
94.0%
Space Separator 51
 
3.5%
Open Punctuation 13
 
0.9%
Close Punctuation 13
 
0.9%
Uppercase Letter 6
 
0.4%
Decimal Number 3
 
0.2%
Lowercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 114
 
8.3%
육 98
 
7.1%
식 79
 
5.8%
우 63
 
4.6%
주 45
 
3.3%
상 43
 
3.1%
한 38
 
2.8%
마 36
 
2.6%
트 29
 
2.1%
대 28
 
2.0%
Other values (209) 800
58.3%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
D 1
 
16.7%
H 1
 
16.7%
F 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1373
94.0%
Common 81
 
5.5%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 114
 
8.3%
육 98
 
7.1%
식 79
 
5.8%
우 63
 
4.6%
주 45
 
3.3%
상 43
 
3.1%
한 38
 
2.8%
마 36
 
2.6%
트 29
 
2.1%
대 28
 
2.0%
Other values (209) 800
58.3%
Common
ValueCountFrequency (%)
51
63.0%
( 13
 
16.0%
) 13
 
16.0%
1 2
 
2.5%
2 1
 
1.2%
/ 1
 
1.2%
Latin
ValueCountFrequency (%)
C 3
42.9%
D 1
 
14.3%
H 1
 
14.3%
n 1
 
14.3%
F 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1373
94.0%
ASCII 88
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 114
 
8.3%
육 98
 
7.1%
식 79
 
5.8%
우 63
 
4.6%
주 45
 
3.3%
상 43
 
3.1%
한 38
 
2.8%
마 36
 
2.6%
트 29
 
2.1%
대 28
 
2.0%
Other values (209) 800
58.3%
ASCII
ValueCountFrequency (%)
51
58.0%
( 13
 
14.8%
) 13
 
14.8%
C 3
 
3.4%
1 2
 
2.3%
2 1
 
1.1%
D 1
 
1.1%
H 1
 
1.1%
n 1
 
1.1%
F 1
 
1.1%

이름
Text

Distinct207
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:39:49.003302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.5727273
Min length3

Characters and Unicode

Total characters786
Distinct characters171
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)89.1%

Sample

1st row(주)바로이마트상주점
2nd row고은숙
3rd row홍세주
4th row(주)씨티푸드
5th row(주)올품
ValueCountFrequency (%)
윤재우 3
 
1.3%
황수녀 3
 
1.3%
전정순 2
 
0.9%
축산업협동조합 2
 
0.9%
상주 2
 
0.9%
김상열 2
 
0.9%
고은숙 2
 
0.9%
김인자 2
 
0.9%
양대효 2
 
0.9%
홍창일 2
 
0.9%
Other values (201) 203
90.2%
2023-12-12T08:39:49.530684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 50
 
6.4%
이 36
 
4.6%
정 26
 
3.3%
주 23
 
2.9%
순 20
 
2.5%
영 19
 
2.4%
조 18
 
2.3%
자 17
 
2.2%
박 16
 
2.0%
동 16
 
2.0%
Other values (161) 545
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 773
98.3%
Space Separator 5
 
0.6%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 50
 
6.5%
이 36
 
4.7%
정 26
 
3.4%
주 23
 
3.0%
순 20
 
2.6%
영 19
 
2.5%
조 18
 
2.3%
자 17
 
2.2%
박 16
 
2.1%
동 16
 
2.1%
Other values (158) 532
68.8%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 773
98.3%
Common 13
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 50
 
6.5%
이 36
 
4.7%
정 26
 
3.4%
주 23
 
3.0%
순 20
 
2.6%
영 19
 
2.5%
조 18
 
2.3%
자 17
 
2.2%
박 16
 
2.1%
동 16
 
2.1%
Other values (158) 532
68.8%
Common
ValueCountFrequency (%)
5
38.5%
( 4
30.8%
) 4
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 773
98.3%
ASCII 13
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 50
 
6.5%
이 36
 
4.7%
정 26
 
3.4%
주 23
 
3.0%
순 20
 
2.6%
영 19
 
2.5%
조 18
 
2.3%
자 17
 
2.2%
박 16
 
2.1%
동 16
 
2.1%
Other values (158) 532
68.8%
ASCII
ValueCountFrequency (%)
5
38.5%
( 4
30.8%
) 4
30.8%

도로명주소
Text

Distinct202
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:39:49.906792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length22.440909
Min length19

Characters and Unicode

Total characters4937
Distinct characters120
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

Unique188 ?
Unique (%)85.5%

Sample

1st row경상북도 상주시 왕산로 55 (남성동)
2nd row경상북도 상주시 냉림2길 111 (냉림동)
3rd row경상북도 상주시 경상대로 2977 (낙양동)
4th row경상북도 상주시 사벌면 목가1길 160
5th row경상북도 상주시 발산로 135 (초산동)
ValueCountFrequency (%)
경상북도 220
19.9%
상주시 220
19.9%
남성동 44
 
4.0%
함창읍 23
 
2.1%
상산로 22
 
2.0%
경상대로 14
 
1.3%
낙동면 14
 
1.3%
냉림동 13
 
1.2%
무양동 13
 
1.2%
낙양동 11
 
1.0%
Other values (279) 511
46.2%
2023-12-12T08:39:50.429268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
908
18.4%
상 485
 
9.8%
시 243
 
4.9%
경 234
 
4.7%
북 225
 
4.6%
주 222
 
4.5%
도 220
 
4.5%
1 179
 
3.6%
동 160
 
3.2%
로 121
 
2.5%
Other values (110) 1940
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3025
61.3%
Space Separator 908
 
18.4%
Decimal Number 703
 
14.2%
Close Punctuation 116
 
2.3%
Open Punctuation 116
 
2.3%
Dash Punctuation 65
 
1.3%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 485
16.0%
시 243
 
8.0%
경 234
 
7.7%
북 225
 
7.4%
주 222
 
7.3%
도 220
 
7.3%
동 160
 
5.3%
로 121
 
4.0%
길 84
 
2.8%
성 75
 
2.5%
Other values (93) 956
31.6%
Decimal Number
ValueCountFrequency (%)
1 179
25.5%
2 93
13.2%
5 80
11.4%
3 78
11.1%
4 67
 
9.5%
6 45
 
6.4%
8 45
 
6.4%
9 43
 
6.1%
0 37
 
5.3%
7 36
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
908
100.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3025
61.3%
Common 1910
38.7%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 485
16.0%
시 243
 
8.0%
경 234
 
7.7%
북 225
 
7.4%
주 222
 
7.3%
도 220
 
7.3%
동 160
 
5.3%
로 121
 
4.0%
길 84
 
2.8%
성 75
 
2.5%
Other values (93) 956
31.6%
Common
ValueCountFrequency (%)
908
47.5%
1 179
 
9.4%
) 116
 
6.1%
( 116
 
6.1%
2 93
 
4.9%
5 80
 
4.2%
3 78
 
4.1%
4 67
 
3.5%
- 65
 
3.4%
6 45
 
2.4%
Other values (5) 163
 
8.5%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3025
61.3%
ASCII 1912
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
908
47.5%
1 179
 
9.4%
) 116
 
6.1%
( 116
 
6.1%
2 93
 
4.9%
5 80
 
4.2%
3 78
 
4.1%
4 67
 
3.5%
- 65
 
3.4%
6 45
 
2.4%
Other values (7) 165
 
8.6%
Hangul
ValueCountFrequency (%)
상 485
16.0%
시 243
 
8.0%
경 234
 
7.7%
북 225
 
7.4%
주 222
 
7.3%
도 220
 
7.3%
동 160
 
5.3%
로 121
 
4.0%
길 84
 
2.8%
성 75
 
2.5%
Other values (93) 956
31.6%

연락처
Text

MISSING 

Distinct147
Distinct (%)95.5%
Missing66
Missing (%)30.0%
Memory size1.8 KiB
2023-12-12T08:39:50.655097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006494
Min length12

Characters and Unicode

Total characters1849
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

Unique142 ?
Unique (%)92.2%

Sample

1st row054-531-3688
2nd row054-535-3126
3rd row054-533-6650
4th row054-531-1310
5th row054-533-9998
ValueCountFrequency (%)
054-532-5203 3
 
1.9%
054-532-9200 3
 
1.9%
054-533-5533 2
 
1.3%
054-533-0567 2
 
1.3%
054-533-9998 2
 
1.3%
054-532-1543 1
 
0.6%
054-541-3737 1
 
0.6%
054-536-8838 1
 
0.6%
054-541-9978 1
 
0.6%
054-533-6400 1
 
0.6%
Other values (137) 137
89.0%
2023-12-12T08:39:51.242292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 392
21.2%
- 308
16.7%
4 237
12.8%
0 234
12.7%
3 224
12.1%
2 102
 
5.5%
1 93
 
5.0%
6 74
 
4.0%
8 68
 
3.7%
9 60
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1541
83.3%
Dash Punctuation 308
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 392
25.4%
4 237
15.4%
0 234
15.2%
3 224
14.5%
2 102
 
6.6%
1 93
 
6.0%
6 74
 
4.8%
8 68
 
4.4%
9 60
 
3.9%
7 57
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1849
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 392
21.2%
- 308
16.7%
4 237
12.8%
0 234
12.7%
3 224
12.1%
2 102
 
5.5%
1 93
 
5.0%
6 74
 
4.0%
8 68
 
3.7%
9 60
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1849
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 392
21.2%
- 308
16.7%
4 237
12.8%
0 234
12.7%
3 224
12.1%
2 102
 
5.5%
1 93
 
5.0%
6 74
 
4.0%
8 68
 
3.7%
9 60
 
3.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2021-10-14 00:00:00
Maximum2021-10-14 00:00:00
2023-12-12T08:39:51.353237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:39:51.433655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:39:46.981953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:39:51.509229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업종
구분1.0000.165
업종0.1651.000
2023-12-12T08:39:51.596171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업종
구분1.0000.067
업종0.0671.000

Missing values

2023-12-12T08:39:47.090410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:39:47.203469image/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

구분업종상호이름도로명주소연락처데이터기준일자
01식육판매업(주)바로이마트 상주점(주)바로이마트상주점경상북도 상주시 왕산로 55 (남성동)054-531-36882021-10-14
12우유류판매업(주)비락상주대리점고은숙경상북도 상주시 냉림2길 111 (냉림동)054-535-31262021-10-14
23식육판매업(주)세창 수입육직판장홍세주경상북도 상주시 경상대로 2977 (낙양동)054-533-66502021-10-14
34식육판매업(주)씨티푸드 (상주지점)(주)씨티푸드경상북도 상주시 사벌면 목가1길 160054-531-13102021-10-14
45축산물유통전문판매업(주)올품(주)올품경상북도 상주시 발산로 135 (초산동)054-533-99982021-10-14
56식육판매업(주)올품변부홍경상북도 상주시 발산로 135 (초산동)054-533-99982021-10-14
67식육판매업(주)이마트상주점이갑수경상북도 상주시 경상대로 3141 (만산동)054-537-12342021-10-14
78식육판매업21세기참한우점박복자경상북도 상주시 중앙시장길 46 (남성동)054-535-38132021-10-14
89식용란수집판매업CH푸드정충현경상북도 상주시 신봉동 172-15번지070-8866-92922021-10-14
910식육판매업DC마트 정육부최윤정경상북도 상주시 상산로 371 (냉림동)054-535-67872021-10-14
구분업종상호이름도로명주소연락처데이터기준일자
210211식육판매업해성식육점권영희경상북도 상주시 화서면 화령남5길 10054-533-05672021-10-14
211212식육판매업해송식육점박미곤경상북도 상주시 낙동면 삼봉로 532-6054-531-21902021-10-14
212213식육판매업행복축산유통김학술경상북도 상주시 동수3길 133 (무양동)054-536-85972021-10-14
213214식육판매업현대식육식당김영옥경상북도 상주시 화동면 이소3길 53054-534-32032021-10-14
214215식육판매업현대식육점홍영숙경상북도 상주시 함창읍 모개낭1길 1054-541-34672021-10-14
215216식육판매업형제한우촌장정남경상북도 상주시 중앙시장길 1 (남성동)<NA>2021-10-14
216217식육판매업홈마트식육점김명예경상북도 상주시 상산로 318 (서성동)054-536-45432021-10-14
217218식육판매업홈마트정육점정화분경상북도 상주시 청리면 청리중앙로 154054-532-24562021-10-14
218219식육판매업홍성식육점황문영경상북도 상주시 남성4길 10 (남성동)054-535-66082021-10-14
219220식육판매업화북정육점신군자경상북도 상주시 화북면 용유리 산 31-8번지<NA>2021-10-14