Overview

Dataset statistics

Number of variables6
Number of observations1725
Missing cells524
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.0 KiB
Average record size in memory48.1 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description경상북도 영덕군에 위치한 식품위생업소 업종명, 업소명, 소재지, 영업장면적, 전화번호, 행정동명 등 정보를 제공하고자 합니다.
URLhttps://www.data.go.kr/data/3052353/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 524 (30.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:24:09.626140
Analysis finished2023-12-12 18:24:10.474807
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct19
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
일반음식점
998 
휴게음식점
208 
즉석판매제조가공업
143 
식품제조가공업
 
72
식품자동판매기영업
 
68
Other values (14)
236 

Length

Max length13
Median length5
Mean length5.8104348
Min length4

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 998
57.9%
휴게음식점 208
 
12.1%
즉석판매제조가공업 143
 
8.3%
식품제조가공업 72
 
4.2%
식품자동판매기영업 68
 
3.9%
건강기능식품일반판매업 51
 
3.0%
식품소분업 42
 
2.4%
유흥주점영업 34
 
2.0%
집단급식소 30
 
1.7%
단란주점 30
 
1.7%
Other values (9) 49
 
2.8%

Length

2023-12-13T03:24:10.541904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 998
57.7%
휴게음식점 208
 
12.0%
즉석판매제조가공업 143
 
8.3%
식품제조가공업 72
 
4.2%
식품자동판매기영업 68
 
3.9%
건강기능식품일반판매업 51
 
2.9%
식품소분업 42
 
2.4%
유흥주점영업 34
 
2.0%
집단급식소 34
 
2.0%
단란주점 30
 
1.7%
Other values (9) 49
 
2.8%

업소명
Text

Distinct1618
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2023-12-13T03:24:10.809024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length6.0614493
Min length1

Characters and Unicode

Total characters10456
Distinct characters655
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1528 ?
Unique (%)88.6%

Sample

1st row청송식당
2nd row사계절
3rd row영덕식당
4th row대림식당
5th row동흥반점
ValueCountFrequency (%)
영덕점 30
 
1.4%
주식회사 16
 
0.7%
이마트24 12
 
0.6%
식당 11
 
0.5%
카페 11
 
0.5%
세븐일레븐 10
 
0.5%
gs25 8
 
0.4%
영덕영해점 7
 
0.3%
영해점 6
 
0.3%
회 5
 
0.2%
Other values (1811) 2020
94.6%
2023-12-13T03:24:11.214279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
412
 
3.9%
식 395
 
3.8%
당 300
 
2.9%
영 259
 
2.5%
대 229
 
2.2%
점 210
 
2.0%
덕 175
 
1.7%
게 155
 
1.5%
이 148
 
1.4%
방 148
 
1.4%
Other values (645) 8025
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9462
90.5%
Space Separator 412
 
3.9%
Decimal Number 146
 
1.4%
Lowercase Letter 134
 
1.3%
Uppercase Letter 111
 
1.1%
Open Punctuation 79
 
0.8%
Close Punctuation 79
 
0.8%
Other Punctuation 25
 
0.2%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 395
 
4.2%
당 300
 
3.2%
영 259
 
2.7%
대 229
 
2.4%
점 210
 
2.2%
덕 175
 
1.8%
게 155
 
1.6%
이 148
 
1.6%
방 148
 
1.6%
산 139
 
1.5%
Other values (584) 7304
77.2%
Uppercase Letter
ValueCountFrequency (%)
O 14
12.6%
C 13
11.7%
R 12
10.8%
G 11
9.9%
U 9
8.1%
B 9
8.1%
S 9
8.1%
K 6
 
5.4%
E 5
 
4.5%
H 4
 
3.6%
Other values (13) 19
17.1%
Lowercase Letter
ValueCountFrequency (%)
e 20
14.9%
r 16
11.9%
c 11
 
8.2%
a 11
 
8.2%
l 9
 
6.7%
y 9
 
6.7%
s 8
 
6.0%
i 7
 
5.2%
p 7
 
5.2%
t 6
 
4.5%
Other values (9) 30
22.4%
Decimal Number
ValueCountFrequency (%)
2 43
29.5%
5 23
15.8%
4 19
13.0%
3 16
 
11.0%
8 13
 
8.9%
1 8
 
5.5%
0 8
 
5.5%
6 7
 
4.8%
7 6
 
4.1%
9 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 11
44.0%
. 9
36.0%
& 3
 
12.0%
· 1
 
4.0%
: 1
 
4.0%
Space Separator
ValueCountFrequency (%)
412
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9452
90.4%
Common 749
 
7.2%
Latin 245
 
2.3%
Han 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 395
 
4.2%
당 300
 
3.2%
영 259
 
2.7%
대 229
 
2.4%
점 210
 
2.2%
덕 175
 
1.9%
게 155
 
1.6%
이 148
 
1.6%
방 148
 
1.6%
산 139
 
1.5%
Other values (578) 7294
77.2%
Latin
ValueCountFrequency (%)
e 20
 
8.2%
r 16
 
6.5%
O 14
 
5.7%
C 13
 
5.3%
R 12
 
4.9%
c 11
 
4.5%
a 11
 
4.5%
G 11
 
4.5%
U 9
 
3.7%
B 9
 
3.7%
Other values (32) 119
48.6%
Common
ValueCountFrequency (%)
412
55.0%
( 79
 
10.5%
) 79
 
10.5%
2 43
 
5.7%
5 23
 
3.1%
4 19
 
2.5%
3 16
 
2.1%
8 13
 
1.7%
, 11
 
1.5%
. 9
 
1.2%
Other values (9) 45
 
6.0%
Han
ValueCountFrequency (%)
海 2
20.0%
水 2
20.0%
人 2
20.0%
産 2
20.0%
酒 1
10.0%
家 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9449
90.4%
ASCII 993
 
9.5%
CJK 10
 
0.1%
Compat Jamo 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
412
41.5%
( 79
 
8.0%
) 79
 
8.0%
2 43
 
4.3%
5 23
 
2.3%
e 20
 
2.0%
4 19
 
1.9%
r 16
 
1.6%
3 16
 
1.6%
O 14
 
1.4%
Other values (50) 272
27.4%
Hangul
ValueCountFrequency (%)
식 395
 
4.2%
당 300
 
3.2%
영 259
 
2.7%
대 229
 
2.4%
점 210
 
2.2%
덕 175
 
1.9%
게 155
 
1.6%
이 148
 
1.6%
방 148
 
1.6%
산 139
 
1.5%
Other values (577) 7291
77.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
CJK
ValueCountFrequency (%)
海 2
20.0%
水 2
20.0%
人 2
20.0%
産 2
20.0%
酒 1
10.0%
家 1
10.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

Distinct1429
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2023-12-13T03:24:11.603024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length22.648696
Min length18

Characters and Unicode

Total characters39069
Distinct characters222
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

Unique1237 ?
Unique (%)71.7%

Sample

1st row경상북도 영덕군 강구면 강구대게4길 9-7
2nd row경상북도 영덕군 영덕읍 강변길 22
3rd row경상북도 영덕군 영해면 성내리 468-1
4th row경상북도 영덕군 영해면 성내리 433
5th row경상북도 영덕군 강구면 강구리 345
ValueCountFrequency (%)
경상북도 1725
18.9%
영덕군 1725
18.9%
강구면 512
 
5.6%
영덕읍 478
 
5.2%
영해면 355
 
3.9%
영덕대게로 205
 
2.3%
1층 172
 
1.9%
축산면 133
 
1.5%
동해대로 108
 
1.2%
남정면 99
 
1.1%
Other values (1089) 3593
39.5%
2023-12-13T03:24:12.212661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7503
19.2%
영 2885
 
7.4%
덕 2548
 
6.5%
군 1763
 
4.5%
상 1763
 
4.5%
경 1751
 
4.5%
도 1742
 
4.5%
북 1726
 
4.4%
1 1532
 
3.9%
면 1247
 
3.2%
Other values (212) 14609
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24789
63.4%
Space Separator 7503
 
19.2%
Decimal Number 5761
 
14.7%
Dash Punctuation 603
 
1.5%
Other Punctuation 346
 
0.9%
Open Punctuation 24
 
0.1%
Close Punctuation 24
 
0.1%
Math Symbol 12
 
< 0.1%
Uppercase Letter 6
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 2885
 
11.6%
덕 2548
 
10.3%
군 1763
 
7.1%
상 1763
 
7.1%
경 1751
 
7.1%
도 1742
 
7.0%
북 1726
 
7.0%
면 1247
 
5.0%
길 1142
 
4.6%
강 740
 
3.0%
Other values (192) 7482
30.2%
Decimal Number
ValueCountFrequency (%)
1 1532
26.6%
2 811
14.1%
4 587
 
10.2%
3 571
 
9.9%
5 492
 
8.5%
6 381
 
6.6%
8 376
 
6.5%
0 366
 
6.4%
7 362
 
6.3%
9 283
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
D 2
33.3%
C 2
33.3%
Space Separator
ValueCountFrequency (%)
7503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 603
100.0%
Other Punctuation
ValueCountFrequency (%)
, 346
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24789
63.4%
Common 14274
36.5%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 2885
 
11.6%
덕 2548
 
10.3%
군 1763
 
7.1%
상 1763
 
7.1%
경 1751
 
7.1%
도 1742
 
7.0%
북 1726
 
7.0%
면 1247
 
5.0%
길 1142
 
4.6%
강 740
 
3.0%
Other values (192) 7482
30.2%
Common
ValueCountFrequency (%)
7503
52.6%
1 1532
 
10.7%
2 811
 
5.7%
- 603
 
4.2%
4 587
 
4.1%
3 571
 
4.0%
5 492
 
3.4%
6 381
 
2.7%
8 376
 
2.6%
0 366
 
2.6%
Other values (7) 1052
 
7.4%
Latin
ValueCountFrequency (%)
B 2
33.3%
D 2
33.3%
C 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24789
63.4%
ASCII 14280
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7503
52.5%
1 1532
 
10.7%
2 811
 
5.7%
- 603
 
4.2%
4 587
 
4.1%
3 571
 
4.0%
5 492
 
3.4%
6 381
 
2.7%
8 376
 
2.6%
0 366
 
2.6%
Other values (10) 1058
 
7.4%
Hangul
ValueCountFrequency (%)
영 2885
 
11.6%
덕 2548
 
10.3%
군 1763
 
7.1%
상 1763
 
7.1%
경 1751
 
7.1%
도 1742
 
7.0%
북 1726
 
7.0%
면 1247
 
5.0%
길 1142
 
4.6%
강 740
 
3.0%
Other values (192) 7482
30.2%

건물내부면적
Text

Distinct1150
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2023-12-13T03:24:12.540981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length3.6492754
Min length1

Characters and Unicode

Total characters6295
Distinct characters12
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

Unique1037 ?
Unique (%)60.1%

Sample

1st row61
2nd row32.16
3rd row0
4th row30.96
5th row62.8
ValueCountFrequency (%)
0 415
 
24.1%
9 18
 
1.0%
30 6
 
0.3%
165 5
 
0.3%
16.83 4
 
0.2%
99 4
 
0.2%
16.2 4
 
0.2%
40 4
 
0.2%
36 4
 
0.2%
72 4
 
0.2%
Other values (1140) 1257
72.9%
2023-12-13T03:24:13.143224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1085
17.2%
0 705
11.2%
1 692
11.0%
2 526
8.4%
6 496
7.9%
3 495
7.9%
4 479
7.6%
5 473
7.5%
9 447
7.1%
8 447
7.1%
Other values (2) 450
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5196
82.5%
Other Punctuation 1099
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 705
13.6%
1 692
13.3%
2 526
10.1%
6 496
9.5%
3 495
9.5%
4 479
9.2%
5 473
9.1%
9 447
8.6%
8 447
8.6%
7 436
8.4%
Other Punctuation
ValueCountFrequency (%)
. 1085
98.7%
, 14
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Common 6295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1085
17.2%
0 705
11.2%
1 692
11.0%
2 526
8.4%
6 496
7.9%
3 495
7.9%
4 479
7.6%
5 473
7.5%
9 447
7.1%
8 447
7.1%
Other values (2) 450
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1085
17.2%
0 705
11.2%
1 692
11.0%
2 526
8.4%
6 496
7.9%
3 495
7.9%
4 479
7.6%
5 473
7.5%
9 447
7.1%
8 447
7.1%
Other values (2) 450
7.1%

소재지전화
Text

MISSING 

Distinct1144
Distinct (%)95.3%
Missing524
Missing (%)30.4%
Memory size13.6 KiB
2023-12-13T03:24:13.544865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length13.970025
Min length12

Characters and Unicode

Total characters16778
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1093 ?
Unique (%)91.0%

Sample

1st row 054- 733-4155
2nd row 054-732 -9293
3rd row054 -732 -0270
4th row 054- 733-4152
5th row 054-733 -8554
ValueCountFrequency (%)
054 1141
41.8%
733 144
 
5.3%
734 92
 
3.4%
732 69
 
2.5%
46
 
1.7%
054-733 13
 
0.5%
054-734 8
 
0.3%
054-732 5
 
0.2%
6678 3
 
0.1%
8778 3
 
0.1%
Other values (1140) 1207
44.2%
2023-12-13T03:24:14.184487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2402
14.3%
2390
14.2%
3 2162
12.9%
4 2011
12.0%
0 1825
10.9%
5 1711
10.2%
7 1590
9.5%
2 852
 
5.1%
8 501
 
3.0%
1 465
 
2.8%
Other values (2) 869
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11986
71.4%
Dash Punctuation 2402
 
14.3%
Space Separator 2390
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2162
18.0%
4 2011
16.8%
0 1825
15.2%
5 1711
14.3%
7 1590
13.3%
2 852
 
7.1%
8 501
 
4.2%
1 465
 
3.9%
9 441
 
3.7%
6 428
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 2402
100.0%
Space Separator
ValueCountFrequency (%)
2390
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16778
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2402
14.3%
2390
14.2%
3 2162
12.9%
4 2011
12.0%
0 1825
10.9%
5 1711
10.2%
7 1590
9.5%
2 852
 
5.1%
8 501
 
3.0%
1 465
 
2.8%
Other values (2) 869
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2402
14.3%
2390
14.2%
3 2162
12.9%
4 2011
12.0%
0 1825
10.9%
5 1711
10.2%
7 1590
9.5%
2 852
 
5.1%
8 501
 
3.0%
1 465
 
2.8%
Other values (2) 869
 
5.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
Minimum2023-08-29 00:00:00
Maximum2023-08-29 00:00:00
2023-12-13T03:24:14.338792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:14.453695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T03:24:10.313124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:24:10.429469image/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

업종명업소명소재지(도로명)건물내부면적소재지전화데이터기준일자
0일반음식점청송식당경상북도 영덕군 강구면 강구대게4길 9-761054- 733-41552023-08-29
1일반음식점사계절경상북도 영덕군 영덕읍 강변길 2232.16054-732 -92932023-08-29
2일반음식점영덕식당경상북도 영덕군 영해면 성내리 468-10054 -732 -02702023-08-29
3일반음식점대림식당경상북도 영덕군 영해면 성내리 43330.96<NA>2023-08-29
4일반음식점동흥반점경상북도 영덕군 강구면 강구리 34562.8054- 733-41522023-08-29
5일반음식점황가네식당경상북도 영덕군 영해면 성내리 468-130054-733 -85542023-08-29
6일반음식점삼성식당경상북도 영덕군 강구면 신강구1길 70<NA>2023-08-29
7일반음식점금성식당경상북도 영덕군 남정면 진불길 320<NA>2023-08-29
8일반음식점실비식당경상북도 영덕군 축산면 축산항길 580054 - 732-40422023-08-29
9일반음식점울릉도식당경상북도 영덕군 축산면 축산리 68-40054- 732-43212023-08-29
업종명업소명소재지(도로명)건물내부면적소재지전화데이터기준일자
1715기타식품판매업영덕식자재마트경상북도 영덕군 영덕읍 읍사무소1길 51972.63054 -734 -79002023-08-29
1716기타식품판매업알식자재센터경상북도 영덕군 영덕읍 우곡길 28, 1층9.18054 -734 -66782023-08-29
1717제과점영업OK 제과점경상북도 영덕군 영해면 영덕로 18040054- 733-21202023-08-29
1718제과점영업백년미가 영덕대게빵 2호점경상북도 영덕군 강구면 동해대로 450334.69<NA>2023-08-29
1719건강기능식품일반판매업영덕울진축협판매장경상북도 영덕군 영덕읍 덕곡길 890054- 733-71242023-08-29
1720건강기능식품일반판매업북영덕농협축산항지점경상북도 영덕군 축산면 축산항5길 30054- 732-40252023-08-29
1721건강기능식품일반판매업고나인터내셔널경상북도 영덕군 영해면 예주목은길 810<NA>2023-08-29
1722건강기능식품일반판매업세븐일레븐 영덕축산점경상북도 영덕군 축산면 축산항길 320054- 733-00792023-08-29
1723건강기능식품일반판매업인셀덤뷰티인경상북도 영덕군 영덕읍 중앙길 1210<NA>2023-08-29
1724건강기능식품일반판매업화이트골드경상북도 영덕군 강구면 영덕대게로 229-50.84<NA>2023-08-29