Overview

Dataset statistics

Number of variables5
Number of observations394
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory41.3 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description강원도 강릉시 축산물 판매 업소현황에 대한 데이터로 연번, 영업의 종류, 업체명, 소재지, 전화번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15042892/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:27:26.676901
Analysis finished2023-12-12 12:27:27.469783
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct394
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.5
Minimum1
Maximum394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T21:27:27.576403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.65
Q199.25
median197.5
Q3295.75
95-th percentile374.35
Maximum394
Range393
Interquartile range (IQR)196.5

Descriptive statistics

Standard deviation113.88225
Coefficient of variation (CV)0.57661898
Kurtosis-1.2
Mean197.5
Median Absolute Deviation (MAD)98.5
Skewness0
Sum77815
Variance12969.167
MonotonicityStrictly increasing
2023-12-12T21:27:27.807420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
272 1
 
0.3%
270 1
 
0.3%
269 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
Other values (384) 384
97.5%
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 (%)
394 1
0.3%
393 1
0.3%
392 1
0.3%
391 1
0.3%
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%
386 1
0.3%
385 1
0.3%

영업의종류
Categorical

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
식육판매업
262 
우유류판매업
64 
식육즉석판매가공업
 
26
식용란수집판매업
 
22
축산물유통전문판매업
 
11

Length

Max length10
Median length5
Mean length5.8477157
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 262
66.5%
우유류판매업 64
 
16.2%
식육즉석판매가공업 26
 
6.6%
식용란수집판매업 22
 
5.6%
축산물유통전문판매업 11
 
2.8%
식육부산물전문판매업 9
 
2.3%

Length

2023-12-12T21:27:28.040313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:27:28.207922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 262
66.5%
우유류판매업 64
 
16.2%
식육즉석판매가공업 26
 
6.6%
식용란수집판매업 22
 
5.6%
축산물유통전문판매업 11
 
2.8%
식육부산물전문판매업 9
 
2.3%

업체명
Text

Distinct379
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T21:27:28.606128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length6.8857868
Min length2

Characters and Unicode

Total characters2713
Distinct characters311
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

Unique365 ?
Unique (%)92.6%

Sample

1st row한우전문판매장
2nd row강원양돈농협 성덕지점
3rd row6주공식육점
4th row하나수입육마트
5th row세화도매마트
ValueCountFrequency (%)
주식회사 8
 
1.6%
정육점 7
 
1.4%
강릉농협 5
 
1.0%
강릉대리점 5
 
1.0%
한결축산 4
 
0.8%
남양유업 4
 
0.8%
강원양돈농협 4
 
0.8%
강원양돈축산업협동조합 3
 
0.6%
강릉축산농협하나로마트 3
 
0.6%
강릉점 3
 
0.6%
Other values (419) 447
90.7%
2023-12-12T21:27:29.155904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 151
 
5.6%
강 102
 
3.8%
99
 
3.6%
육 99
 
3.6%
릉 76
 
2.8%
우 71
 
2.6%
식 71
 
2.6%
유 68
 
2.5%
트 67
 
2.5%
산 57
 
2.1%
Other values (301) 1852
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2507
92.4%
Space Separator 99
 
3.6%
Close Punctuation 29
 
1.1%
Open Punctuation 29
 
1.1%
Uppercase Letter 23
 
0.8%
Decimal Number 11
 
0.4%
Lowercase Letter 9
 
0.3%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 151
 
6.0%
강 102
 
4.1%
육 99
 
3.9%
릉 76
 
3.0%
우 71
 
2.8%
식 71
 
2.8%
유 68
 
2.7%
트 67
 
2.7%
산 57
 
2.3%
정 57
 
2.3%
Other values (269) 1688
67.3%
Uppercase Letter
ValueCountFrequency (%)
C 4
17.4%
D 4
17.4%
S 4
17.4%
P 2
8.7%
F 2
8.7%
N 1
 
4.3%
I 1
 
4.3%
M 1
 
4.3%
T 1
 
4.3%
J 1
 
4.3%
Other values (2) 2
8.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
m 1
11.1%
b 1
11.1%
s 1
11.1%
l 1
11.1%
a 1
11.1%
r 1
11.1%
t 1
11.1%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
2 2
18.2%
6 2
18.2%
1 2
18.2%
4 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 2
33.3%
. 2
33.3%
' 1
16.7%
, 1
16.7%
Space Separator
ValueCountFrequency (%)
99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2507
92.4%
Common 174
 
6.4%
Latin 32
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 151
 
6.0%
강 102
 
4.1%
육 99
 
3.9%
릉 76
 
3.0%
우 71
 
2.8%
식 71
 
2.8%
유 68
 
2.7%
트 67
 
2.7%
산 57
 
2.3%
정 57
 
2.3%
Other values (269) 1688
67.3%
Latin
ValueCountFrequency (%)
C 4
 
12.5%
D 4
 
12.5%
S 4
 
12.5%
e 2
 
6.2%
P 2
 
6.2%
F 2
 
6.2%
m 1
 
3.1%
b 1
 
3.1%
s 1
 
3.1%
l 1
 
3.1%
Other values (10) 10
31.2%
Common
ValueCountFrequency (%)
99
56.9%
) 29
 
16.7%
( 29
 
16.7%
0 4
 
2.3%
2 2
 
1.1%
/ 2
 
1.1%
. 2
 
1.1%
6 2
 
1.1%
1 2
 
1.1%
' 1
 
0.6%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2507
92.4%
ASCII 206
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 151
 
6.0%
강 102
 
4.1%
육 99
 
3.9%
릉 76
 
3.0%
우 71
 
2.8%
식 71
 
2.8%
유 68
 
2.7%
트 67
 
2.7%
산 57
 
2.3%
정 57
 
2.3%
Other values (269) 1688
67.3%
ASCII
ValueCountFrequency (%)
99
48.1%
) 29
 
14.1%
( 29
 
14.1%
C 4
 
1.9%
D 4
 
1.9%
S 4
 
1.9%
0 4
 
1.9%
e 2
 
1.0%
P 2
 
1.0%
F 2
 
1.0%
Other values (22) 27
 
13.1%

소재지
Text

Distinct364
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T21:27:29.545528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length23.022843
Min length16

Characters and Unicode

Total characters9071
Distinct characters191
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

Unique337 ?
Unique (%)85.5%

Sample

1st row강원도 강릉시 포남동 1094-10
2nd row강원도 강릉시 성덕로 277 (입암동)
3rd row강원도 강릉시 성덕포남로 37 (입암동,상가1-103호)
4th row강원도 강릉시 솔올로5번길 52 (교동,청호빌딩1층1호)
5th row강원도 강릉시 경강로2223번길 15 (포남동)
ValueCountFrequency (%)
강원도 394
19.9%
강릉시 394
19.9%
포남동 78
 
3.9%
교동 34
 
1.7%
주문진읍 31
 
1.6%
성남동 31
 
1.6%
노암동 22
 
1.1%
옥천동 20
 
1.0%
입암동 18
 
0.9%
내곡동 13
 
0.7%
Other values (487) 944
47.7%
2023-12-12T21:27:30.114306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1651
18.2%
강 885
 
9.8%
릉 428
 
4.7%
시 422
 
4.7%
원 404
 
4.5%
도 397
 
4.4%
동 334
 
3.7%
1 319
 
3.5%
( 290
 
3.2%
) 290
 
3.2%
Other values (181) 3651
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5285
58.3%
Space Separator 1651
 
18.2%
Decimal Number 1414
 
15.6%
Open Punctuation 290
 
3.2%
Close Punctuation 290
 
3.2%
Dash Punctuation 96
 
1.1%
Other Punctuation 42
 
0.5%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 885
16.7%
릉 428
 
8.1%
시 422
 
8.0%
원 404
 
7.6%
도 397
 
7.5%
동 334
 
6.3%
길 253
 
4.8%
로 231
 
4.4%
남 159
 
3.0%
번 124
 
2.3%
Other values (162) 1648
31.2%
Decimal Number
ValueCountFrequency (%)
1 319
22.6%
2 236
16.7%
3 151
10.7%
5 140
9.9%
4 121
 
8.6%
6 108
 
7.6%
7 98
 
6.9%
9 84
 
5.9%
0 80
 
5.7%
8 77
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 41
97.6%
/ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
1651
100.0%
Open Punctuation
ValueCountFrequency (%)
( 290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 290
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5285
58.3%
Common 3783
41.7%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 885
16.7%
릉 428
 
8.1%
시 422
 
8.0%
원 404
 
7.6%
도 397
 
7.5%
동 334
 
6.3%
길 253
 
4.8%
로 231
 
4.4%
남 159
 
3.0%
번 124
 
2.3%
Other values (162) 1648
31.2%
Common
ValueCountFrequency (%)
1651
43.6%
1 319
 
8.4%
( 290
 
7.7%
) 290
 
7.7%
2 236
 
6.2%
3 151
 
4.0%
5 140
 
3.7%
4 121
 
3.2%
6 108
 
2.9%
7 98
 
2.6%
Other values (6) 379
 
10.0%
Latin
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5285
58.3%
ASCII 3786
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1651
43.6%
1 319
 
8.4%
( 290
 
7.7%
) 290
 
7.7%
2 236
 
6.2%
3 151
 
4.0%
5 140
 
3.7%
4 121
 
3.2%
6 108
 
2.9%
7 98
 
2.6%
Other values (9) 382
 
10.1%
Hangul
ValueCountFrequency (%)
강 885
16.7%
릉 428
 
8.1%
시 422
 
8.0%
원 404
 
7.6%
도 397
 
7.5%
동 334
 
6.3%
길 253
 
4.8%
로 231
 
4.4%
남 159
 
3.0%
번 124
 
2.3%
Other values (162) 1648
31.2%

전화번호
Text

Distinct244
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T21:27:30.528479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.002538
Min length12

Characters and Unicode

Total characters4729
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

Unique235 ?
Unique (%)59.6%

Sample

1st row033-647-4066
2nd row033-650-4807
3rd row033-653-2731
4th row033-646-9825
5th row033-642-1400
ValueCountFrequency (%)
033-123-4567 141
35.8%
033-650-4807 4
 
1.0%
033-645-2898 2
 
0.5%
033-641-3006 2
 
0.5%
033-645-7370 2
 
0.5%
033-652-9060 2
 
0.5%
033-646-9595 2
 
0.5%
033-642-9938 2
 
0.5%
033-646-3445 2
 
0.5%
033-920-9292 1
 
0.3%
Other values (234) 234
59.4%
2023-12-12T21:27:31.051228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1062
22.5%
- 788
16.7%
6 536
11.3%
0 528
11.2%
4 405
 
8.6%
5 340
 
7.2%
2 296
 
6.3%
1 289
 
6.1%
7 242
 
5.1%
8 129
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3941
83.3%
Dash Punctuation 788
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1062
26.9%
6 536
13.6%
0 528
13.4%
4 405
 
10.3%
5 340
 
8.6%
2 296
 
7.5%
1 289
 
7.3%
7 242
 
6.1%
8 129
 
3.3%
9 114
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 788
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4729
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1062
22.5%
- 788
16.7%
6 536
11.3%
0 528
11.2%
4 405
 
8.6%
5 340
 
7.2%
2 296
 
6.3%
1 289
 
6.1%
7 242
 
5.1%
8 129
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4729
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1062
22.5%
- 788
16.7%
6 536
11.3%
0 528
11.2%
4 405
 
8.6%
5 340
 
7.2%
2 296
 
6.3%
1 289
 
6.1%
7 242
 
5.1%
8 129
 
2.7%

Interactions

2023-12-12T21:27:27.089311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:27:31.203482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업의종류
연번1.0000.623
영업의종류0.6231.000
2023-12-12T21:27:31.305921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업의종류
연번1.0000.387
영업의종류0.3871.000

Missing values

2023-12-12T21:27:27.275052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:27:27.419104image/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

연번영업의종류업체명소재지전화번호
01식육판매업한우전문판매장강원도 강릉시 포남동 1094-10033-647-4066
12식육판매업강원양돈농협 성덕지점강원도 강릉시 성덕로 277 (입암동)033-650-4807
23식육판매업6주공식육점강원도 강릉시 성덕포남로 37 (입암동,상가1-103호)033-653-2731
34식육판매업하나수입육마트강원도 강릉시 솔올로5번길 52 (교동,청호빌딩1층1호)033-646-9825
45식육판매업세화도매마트강원도 강릉시 경강로2223번길 15 (포남동)033-642-1400
56식육판매업부산식육점강원도 강릉시 강릉대로443번길 25-1 (포남동)033-651-9257
67식육판매업세화식육점강원도 강릉시 강릉대로527번길 11 (포남동)033-651-8379
78식육판매업왕산식육점강원도 강릉시 중앙시장1길 17 (성남동)033-648-6753
89식육판매업흥부식육점강원도 강릉시 임영로155번길 2 (용강동)033-648-6960
910식육판매업진리식육점강원도 강릉시 사천면 사천진리 2-85033-644-0995
연번영업의종류업체명소재지전화번호
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