Overview

Dataset statistics

Number of variables4
Number of observations952
Missing cells654
Missing cells (%)17.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.9 KiB
Average record size in memory32.1 B

Variable types

Categorical1
Text3

Dataset

Description휴게음식점 현황
Author전라남도 순천시
URLhttps://www.data.go.kr/data/3072852/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 654 (68.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:18:02.024892
Analysis finished2023-12-12 08:18:02.654094
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
휴게음식점
952 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 952
100.0%

Length

2023-12-12T17:18:02.755332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:18:02.857557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 952
100.0%

업소명
Text

Distinct947
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2023-12-12T17:18:03.142207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length24
Mean length8.5304622
Min length1

Characters and Unicode

Total characters8121
Distinct characters602
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique942 ?
Unique (%)98.9%

Sample

1st row남문
2nd row원커피숍
3rd row정든다실
4th row학다방
5th row승주컨트리클럽하우스
ValueCountFrequency (%)
cafe 14
 
1.1%
카페 12
 
1.0%
순천점 12
 
1.0%
미니스톱 11
 
0.9%
coffee 8
 
0.6%
순천연향점 8
 
0.6%
세븐일레븐 7
 
0.6%
신대점 6
 
0.5%
던킨도너츠 6
 
0.5%
pc 6
 
0.5%
Other values (1040) 1159
92.8%
2023-12-12T17:18:04.065115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 433
 
5.3%
천 312
 
3.8%
297
 
3.7%
순 287
 
3.5%
스 216
 
2.7%
) 171
 
2.1%
( 171
 
2.1%
피 142
 
1.7%
이 118
 
1.5%
카 103
 
1.3%
Other values (592) 5871
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6340
78.1%
Uppercase Letter 515
 
6.3%
Lowercase Letter 397
 
4.9%
Space Separator 297
 
3.7%
Decimal Number 185
 
2.3%
Close Punctuation 172
 
2.1%
Open Punctuation 172
 
2.1%
Other Punctuation 35
 
0.4%
Dash Punctuation 3
 
< 0.1%
Modifier Symbol 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 433
 
6.8%
천 312
 
4.9%
순 287
 
4.5%
스 216
 
3.4%
피 142
 
2.2%
이 118
 
1.9%
카 103
 
1.6%
페 97
 
1.5%
커 96
 
1.5%
대 86
 
1.4%
Other values (519) 4450
70.2%
Uppercase Letter
ValueCountFrequency (%)
C 86
16.7%
P 50
 
9.7%
S 47
 
9.1%
G 44
 
8.5%
E 40
 
7.8%
O 30
 
5.8%
A 26
 
5.0%
U 22
 
4.3%
M 20
 
3.9%
F 19
 
3.7%
Other values (14) 131
25.4%
Lowercase Letter
ValueCountFrequency (%)
e 76
19.1%
a 47
11.8%
f 35
 
8.8%
o 29
 
7.3%
c 25
 
6.3%
i 22
 
5.5%
r 21
 
5.3%
n 21
 
5.3%
p 16
 
4.0%
t 14
 
3.5%
Other values (12) 91
22.9%
Decimal Number
ValueCountFrequency (%)
2 67
36.2%
5 44
23.8%
4 15
 
8.1%
3 14
 
7.6%
1 13
 
7.0%
0 13
 
7.0%
9 7
 
3.8%
7 6
 
3.2%
6 3
 
1.6%
8 3
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 13
37.1%
& 10
28.6%
' 4
 
11.4%
, 3
 
8.6%
# 2
 
5.7%
· 2
 
5.7%
/ 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 171
99.4%
］ 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 171
99.4%
［ 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6338
78.0%
Latin 912
 
11.2%
Common 869
 
10.7%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 433
 
6.8%
천 312
 
4.9%
순 287
 
4.5%
스 216
 
3.4%
피 142
 
2.2%
이 118
 
1.9%
카 103
 
1.6%
페 97
 
1.5%
커 96
 
1.5%
대 86
 
1.4%
Other values (518) 4448
70.2%
Latin
ValueCountFrequency (%)
C 86
 
9.4%
e 76
 
8.3%
P 50
 
5.5%
S 47
 
5.2%
a 47
 
5.2%
G 44
 
4.8%
E 40
 
4.4%
f 35
 
3.8%
O 30
 
3.3%
o 29
 
3.2%
Other values (36) 428
46.9%
Common
ValueCountFrequency (%)
297
34.2%
) 171
19.7%
( 171
19.7%
2 67
 
7.7%
5 44
 
5.1%
4 15
 
1.7%
3 14
 
1.6%
1 13
 
1.5%
. 13
 
1.5%
0 13
 
1.5%
Other values (17) 51
 
5.9%
Han
ValueCountFrequency (%)
愛 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6338
78.0%
ASCII 1776
 
21.9%
None 4
 
< 0.1%
CJK 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 433
 
6.8%
천 312
 
4.9%
순 287
 
4.5%
스 216
 
3.4%
피 142
 
2.2%
이 118
 
1.9%
카 103
 
1.6%
페 97
 
1.5%
커 96
 
1.5%
대 86
 
1.4%
Other values (518) 4448
70.2%
ASCII
ValueCountFrequency (%)
297
16.7%
) 171
 
9.6%
( 171
 
9.6%
C 86
 
4.8%
e 76
 
4.3%
2 67
 
3.8%
P 50
 
2.8%
S 47
 
2.6%
a 47
 
2.6%
5 44
 
2.5%
Other values (59) 720
40.5%
None
ValueCountFrequency (%)
· 2
50.0%
］ 1
25.0%
［ 1
25.0%
CJK
ValueCountFrequency (%)
愛 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

소재지(도로명)
Text

Distinct903
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2023-12-12T17:18:04.564327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length50.5
Mean length28.897059
Min length19

Characters and Unicode

Total characters27510
Distinct characters295
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

Unique863 ?
Unique (%)90.7%

Sample

1st row전라남도 순천시 중앙로 81-1 (저전동,(지하))
2nd row전라남도 순천시 호남길 1 (행동,(지하))
3rd row전라남도 순천시 시민로 5 (장천동)
4th row전라남도 순천시 중앙2길 22, 지하층 (장천동)
5th row전라남도 순천시 별량면 오실길 333, 2층
ValueCountFrequency (%)
순천시 953
 
15.9%
전라남도 952
 
15.9%
1층 629
 
10.5%
조례동 144
 
2.4%
해룡면 134
 
2.2%
연향동 99
 
1.7%
왕지동 87
 
1.5%
2층 77
 
1.3%
중앙로 53
 
0.9%
석현동 37
 
0.6%
Other values (916) 2825
47.2%
2023-12-12T17:18:05.220913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5038
 
18.3%
1 1607
 
5.8%
천 1133
 
4.1%
순 1014
 
3.7%
남 1009
 
3.7%
, 1008
 
3.7%
도 1003
 
3.6%
전 993
 
3.6%
시 972
 
3.5%
라 960
 
3.5%
Other values (285) 12773
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15316
55.7%
Space Separator 5038
 
18.3%
Decimal Number 4067
 
14.8%
Other Punctuation 1020
 
3.7%
Open Punctuation 902
 
3.3%
Close Punctuation 901
 
3.3%
Dash Punctuation 203
 
0.7%
Uppercase Letter 24
 
0.1%
Lowercase Letter 21
 
0.1%
Math Symbol 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 1133
 
7.4%
순 1014
 
6.6%
남 1009
 
6.6%
도 1003
 
6.5%
전 993
 
6.5%
시 972
 
6.3%
라 960
 
6.3%
동 915
 
6.0%
층 913
 
6.0%
길 636
 
4.2%
Other values (253) 5768
37.7%
Decimal Number
ValueCountFrequency (%)
1 1607
39.5%
2 649
16.0%
3 340
 
8.4%
4 304
 
7.5%
5 250
 
6.1%
0 243
 
6.0%
6 211
 
5.2%
9 167
 
4.1%
8 160
 
3.9%
7 136
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 5
20.8%
G 5
20.8%
P 5
20.8%
A 3
12.5%
E 2
 
8.3%
F 1
 
4.2%
Q 1
 
4.2%
J 1
 
4.2%
H 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 5
23.8%
l 5
23.8%
c 5
23.8%
e 5
23.8%
p 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 1008
98.8%
. 11
 
1.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5038
100.0%
Open Punctuation
ValueCountFrequency (%)
( 902
100.0%
Close Punctuation
ValueCountFrequency (%)
) 901
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15316
55.7%
Common 12149
44.2%
Latin 45
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 1133
 
7.4%
순 1014
 
6.6%
남 1009
 
6.6%
도 1003
 
6.5%
전 993
 
6.5%
시 972
 
6.3%
라 960
 
6.3%
동 915
 
6.0%
층 913
 
6.0%
길 636
 
4.2%
Other values (253) 5768
37.7%
Common
ValueCountFrequency (%)
5038
41.5%
1 1607
 
13.2%
, 1008
 
8.3%
( 902
 
7.4%
) 901
 
7.4%
2 649
 
5.3%
3 340
 
2.8%
4 304
 
2.5%
5 250
 
2.1%
0 243
 
2.0%
Other values (8) 907
 
7.5%
Latin
ValueCountFrequency (%)
B 5
11.1%
a 5
11.1%
l 5
11.1%
G 5
11.1%
c 5
11.1%
e 5
11.1%
P 5
11.1%
A 3
6.7%
E 2
 
4.4%
F 1
 
2.2%
Other values (4) 4
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15316
55.7%
ASCII 12194
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5038
41.3%
1 1607
 
13.2%
, 1008
 
8.3%
( 902
 
7.4%
) 901
 
7.4%
2 649
 
5.3%
3 340
 
2.8%
4 304
 
2.5%
5 250
 
2.1%
0 243
 
2.0%
Other values (22) 952
 
7.8%
Hangul
ValueCountFrequency (%)
천 1133
 
7.4%
순 1014
 
6.6%
남 1009
 
6.6%
도 1003
 
6.5%
전 993
 
6.5%
시 972
 
6.3%
라 960
 
6.3%
동 915
 
6.0%
층 913
 
6.0%
길 636
 
4.2%
Other values (253) 5768
37.7%

소재지전화
Text

MISSING 

Distinct278
Distinct (%)93.3%
Missing654
Missing (%)68.7%
Memory size7.6 KiB
2023-12-12T17:18:05.569264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.963087
Min length8

Characters and Unicode

Total characters3565
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

Unique268 ?
Unique (%)89.9%

Sample

1st row061-744-0726
2nd row061-744-1391
3rd row061-743-0108
4th row061-740-8000
5th row061-722-4031
ValueCountFrequency (%)
061-782-1154 6
 
2.0%
061-749-1052 4
 
1.3%
061-782-1135 4
 
1.3%
02-3284-8112 3
 
1.0%
02-338-9620 3
 
1.0%
070-7092-7837 2
 
0.7%
061-729-8000 2
 
0.7%
061-754-4988 2
 
0.7%
061-746-2080 2
 
0.7%
061-905-1004 2
 
0.7%
Other values (268) 268
89.9%
2023-12-12T17:18:06.111974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 592
16.6%
0 504
14.1%
1 473
13.3%
7 392
11.0%
6 377
10.6%
2 315
8.8%
5 246
6.9%
4 230
 
6.5%
3 171
 
4.8%
8 154
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2973
83.4%
Dash Punctuation 592
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 504
17.0%
1 473
15.9%
7 392
13.2%
6 377
12.7%
2 315
10.6%
5 246
8.3%
4 230
7.7%
3 171
 
5.8%
8 154
 
5.2%
9 111
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 592
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3565
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 592
16.6%
0 504
14.1%
1 473
13.3%
7 392
11.0%
6 377
10.6%
2 315
8.8%
5 246
6.9%
4 230
 
6.5%
3 171
 
4.8%
8 154
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 592
16.6%
0 504
14.1%
1 473
13.3%
7 392
11.0%
6 377
10.6%
2 315
8.8%
5 246
6.9%
4 230
 
6.5%
3 171
 
4.8%
8 154
 
4.3%

Missing values

2023-12-12T17:18:02.521756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:18:02.608996image/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)소재지전화
0휴게음식점남문전라남도 순천시 중앙로 81-1 (저전동,(지하))061-744-0726
1휴게음식점원커피숍전라남도 순천시 호남길 1 (행동,(지하))<NA>
2휴게음식점정든다실전라남도 순천시 시민로 5 (장천동)061-744-1391
3휴게음식점학다방전라남도 순천시 중앙2길 22, 지하층 (장천동)061-743-0108
4휴게음식점승주컨트리클럽하우스전라남도 순천시 별량면 오실길 333, 2층061-740-8000
5휴게음식점차가네비빔밥전라남도 순천시 비봉2길 4-12 (조례동,(지하(1층))061-722-4031
6휴게음식점조계현칼국수전라남도 순천시 비봉2길 4-12 (조례동,(지하1층))<NA>
7휴게음식점아름다방전라남도 순천시 별량면 별량길 79 ((1층))061-742-9541
8휴게음식점옥다방전라남도 순천시 송광면 송광사길 414061-754-4114
9휴게음식점롯데리아순천연향점전라남도 순천시 연향3로 43 (연향동,(1층))061-723-9240
업종명업소명소재지(도로명)소재지전화
942휴게음식점상사호가는길전라남도 순천시 상사면 상사호길 200-5, 상사호가는길 1층<NA>
943휴게음식점차룽전라남도 순천시 해룡면 향매1길 16-9, 1층070-8800-4076
944휴게음식점세븐일레븐순천조례그린점전라남도 순천시 봉화1길 142, 봉화그린빌아파트 상가동 1층 101호,102호 (조례동)<NA>
945휴게음식점백년의맛전라남도 순천시 서면 순천로 54, 사무실 1층<NA>
946휴게음식점와플칸신대지구점전라남도 순천시 해룡면 향매1길 6<NA>
947휴게음식점옥스피씨(OXPC)방순천조례점전라남도 순천시 봉화1길 23, 2층 (조례동)<NA>
948휴게음식점피키커피(PICKY COFFEE)전라남도 순천시 오천6길 9, 1층 (오천동)<NA>
949휴게음식점구미땡겨전라남도 순천시 중앙로 2-1, 1층 (장천동)<NA>
950휴게음식점인천철물전라남도 순천시 장평로 60, A-16호 (풍덕동)<NA>
951휴게음식점감성커피중앙점전라남도 순천시 중앙로 81-1, 김밥클릭 1층 (저전동)<NA>