Overview

Dataset statistics

Number of variables4
Number of observations2333
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.0 KiB
Average record size in memory32.1 B

Variable types

Text4

Dataset

Description대구광역시 서구 일반음식점 현황에 대한 데이터로 대구광역시 서구 일반음식점의 업종명, 업소명, 소재지, 우편번호, 기타 유의사항에 대한 정보를 제공합니다.
Author대구광역시 서구
URLhttps://www.data.go.kr/data/3071959/fileData.do

Reproduction

Analysis started2024-03-14 16:48:46.823841
Analysis finished2024-03-14 16:48:48.135518
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct2189
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
2024-03-15T01:48:49.169336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length5.6283755
Min length1

Characters and Unicode

Total characters13131
Distinct characters727
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

Unique2093 ?
Unique (%)89.7%

Sample

1st row서대포소금구이
2nd row부산식당
3rd row쌍둥이정갈비
4th row의성식당
5th row김태순의 뚝배기이야기
ValueCountFrequency (%)
평리점 14
 
0.5%
내당점 10
 
0.4%
의성식당 9
 
0.3%
서구점 6
 
0.2%
호식이두마리치킨 5
 
0.2%
비산점 5
 
0.2%
서울식당 5
 
0.2%
숯불갈비 5
 
0.2%
원조할매국밥 4
 
0.2%
황금식당 4
 
0.2%
Other values (2354) 2538
97.4%
2024-03-15T01:48:50.927021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 521
 
4.0%
당 495
 
3.8%
점 279
 
2.1%
272
 
2.1%
이 243
 
1.9%
리 242
 
1.8%
대 198
 
1.5%
구 181
 
1.4%
비 154
 
1.2%
국 153
 
1.2%
Other values (717) 10393
79.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12202
92.9%
Space Separator 272
 
2.1%
Uppercase Letter 192
 
1.5%
Lowercase Letter 127
 
1.0%
Decimal Number 119
 
0.9%
Open Punctuation 89
 
0.7%
Close Punctuation 89
 
0.7%
Other Punctuation 38
 
0.3%
Math Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 521
 
4.3%
당 495
 
4.1%
점 279
 
2.3%
이 243
 
2.0%
리 242
 
2.0%
대 198
 
1.6%
구 181
 
1.5%
비 154
 
1.3%
국 153
 
1.3%
수 141
 
1.2%
Other values (652) 9595
78.6%
Uppercase Letter
ValueCountFrequency (%)
A 20
 
10.4%
O 17
 
8.9%
N 15
 
7.8%
S 15
 
7.8%
I 13
 
6.8%
H 13
 
6.8%
C 10
 
5.2%
L 9
 
4.7%
E 9
 
4.7%
T 9
 
4.7%
Other values (13) 62
32.3%
Lowercase Letter
ValueCountFrequency (%)
e 16
12.6%
i 14
11.0%
a 14
11.0%
o 10
 
7.9%
s 9
 
7.1%
f 9
 
7.1%
l 6
 
4.7%
n 6
 
4.7%
d 5
 
3.9%
m 5
 
3.9%
Other values (11) 33
26.0%
Decimal Number
ValueCountFrequency (%)
0 25
21.0%
1 22
18.5%
3 18
15.1%
2 14
11.8%
9 10
 
8.4%
6 10
 
8.4%
5 8
 
6.7%
8 6
 
5.0%
7 3
 
2.5%
4 3
 
2.5%
Other Punctuation
ValueCountFrequency (%)
& 25
65.8%
. 5
 
13.2%
' 4
 
10.5%
, 3
 
7.9%
· 1
 
2.6%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12198
92.9%
Common 610
 
4.6%
Latin 319
 
2.4%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 521
 
4.3%
당 495
 
4.1%
점 279
 
2.3%
이 243
 
2.0%
리 242
 
2.0%
대 198
 
1.6%
구 181
 
1.5%
비 154
 
1.3%
국 153
 
1.3%
수 141
 
1.2%
Other values (648) 9591
78.6%
Latin
ValueCountFrequency (%)
A 20
 
6.3%
O 17
 
5.3%
e 16
 
5.0%
N 15
 
4.7%
S 15
 
4.7%
i 14
 
4.4%
a 14
 
4.4%
I 13
 
4.1%
H 13
 
4.1%
C 10
 
3.1%
Other values (34) 172
53.9%
Common
ValueCountFrequency (%)
272
44.6%
( 89
 
14.6%
) 89
 
14.6%
0 25
 
4.1%
& 25
 
4.1%
1 22
 
3.6%
3 18
 
3.0%
2 14
 
2.3%
9 10
 
1.6%
6 10
 
1.6%
Other values (11) 36
 
5.9%
Han
ValueCountFrequency (%)
光 1
25.0%
鷄 1
25.0%
福 1
25.0%
新 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12198
92.9%
ASCII 928
 
7.1%
CJK 4
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 521
 
4.3%
당 495
 
4.1%
점 279
 
2.3%
이 243
 
2.0%
리 242
 
2.0%
대 198
 
1.6%
구 181
 
1.5%
비 154
 
1.3%
국 153
 
1.3%
수 141
 
1.2%
Other values (648) 9591
78.6%
ASCII
ValueCountFrequency (%)
272
29.3%
( 89
 
9.6%
) 89
 
9.6%
0 25
 
2.7%
& 25
 
2.7%
1 22
 
2.4%
A 20
 
2.2%
3 18
 
1.9%
O 17
 
1.8%
e 16
 
1.7%
Other values (54) 335
36.1%
CJK
ValueCountFrequency (%)
光 1
25.0%
鷄 1
25.0%
福 1
25.0%
新 1
25.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

Distinct2141
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
2024-03-15T01:48:52.146279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length26.756537
Min length9

Characters and Unicode

Total characters62423
Distinct characters155
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

Unique1981 ?
Unique (%)84.9%

Sample

1st row대구광역시 서구 달서로 103 (비산동)
2nd row대구광역시 서구 통학로23길 23-1 (평리동)
3rd row대구광역시 서구 국채보상로 195 (평리동)
4th row대구광역시 서구 달서천로83길 30 (원대동2가)
5th row대구광역시 서구 달구벌대로329길 133 (중리동)
ValueCountFrequency (%)
대구광역시 2332
18.1%
서구 2332
18.1%
비산동 821
 
6.4%
1층 766
 
5.9%
평리동 695
 
5.4%
내당동 440
 
3.4%
서대구로 168
 
1.3%
중리동 165
 
1.3%
달서로 131
 
1.0%
평리로 118
 
0.9%
Other values (1185) 4907
38.1%
2024-03-15T01:48:53.591183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10544
16.9%
구 5256
 
8.4%
서 3218
 
5.2%
대 3065
 
4.9%
1 2539
 
4.1%
동 2414
 
3.9%
광 2341
 
3.8%
역 2340
 
3.7%
) 2337
 
3.7%
( 2337
 
3.7%
Other values (145) 26032
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35467
56.8%
Space Separator 10544
 
16.9%
Decimal Number 10075
 
16.1%
Close Punctuation 2337
 
3.7%
Open Punctuation 2337
 
3.7%
Other Punctuation 1067
 
1.7%
Dash Punctuation 558
 
0.9%
Uppercase Letter 34
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5256
14.8%
서 3218
 
9.1%
대 3065
 
8.6%
동 2414
 
6.8%
광 2341
 
6.6%
역 2340
 
6.6%
시 2336
 
6.6%
로 2330
 
6.6%
길 1351
 
3.8%
리 1102
 
3.1%
Other values (116) 9714
27.4%
Decimal Number
ValueCountFrequency (%)
1 2539
25.2%
2 1437
14.3%
3 1241
12.3%
4 871
 
8.6%
5 869
 
8.6%
6 864
 
8.6%
7 702
 
7.0%
0 539
 
5.3%
9 507
 
5.0%
8 506
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 12
35.3%
A 8
23.5%
C 5
14.7%
E 4
 
11.8%
D 1
 
2.9%
M 1
 
2.9%
L 1
 
2.9%
P 1
 
2.9%
R 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 1066
99.9%
. 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
a 1
50.0%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
10544
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2337
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 558
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35467
56.8%
Common 26920
43.1%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5256
14.8%
서 3218
 
9.1%
대 3065
 
8.6%
동 2414
 
6.8%
광 2341
 
6.6%
역 2340
 
6.6%
시 2336
 
6.6%
로 2330
 
6.6%
길 1351
 
3.8%
리 1102
 
3.1%
Other values (116) 9714
27.4%
Common
ValueCountFrequency (%)
10544
39.2%
1 2539
 
9.4%
) 2337
 
8.7%
( 2337
 
8.7%
2 1437
 
5.3%
3 1241
 
4.6%
, 1066
 
4.0%
4 871
 
3.2%
5 869
 
3.2%
6 864
 
3.2%
Other values (8) 2815
 
10.5%
Latin
ValueCountFrequency (%)
B 12
33.3%
A 8
22.2%
C 5
13.9%
E 4
 
11.1%
D 1
 
2.8%
e 1
 
2.8%
M 1
 
2.8%
L 1
 
2.8%
P 1
 
2.8%
R 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35467
56.8%
ASCII 26956
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10544
39.1%
1 2539
 
9.4%
) 2337
 
8.7%
( 2337
 
8.7%
2 1437
 
5.3%
3 1241
 
4.6%
, 1066
 
4.0%
4 871
 
3.2%
5 869
 
3.2%
6 864
 
3.2%
Other values (19) 2851
 
10.6%
Hangul
ValueCountFrequency (%)
구 5256
14.8%
서 3218
 
9.1%
대 3065
 
8.6%
동 2414
 
6.8%
광 2341
 
6.6%
역 2340
 
6.6%
시 2336
 
6.6%
로 2330
 
6.6%
길 1351
 
3.8%
리 1102
 
3.1%
Other values (116) 9714
27.4%

소재지(지번)
Text

Distinct1977
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
2024-03-15T01:48:54.680393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length48
Mean length20.749679
Min length16

Characters and Unicode

Total characters48409
Distinct characters120
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

Unique1714 ?
Unique (%)73.5%

Sample

1st row대구광역시 서구 비산동 328-4
2nd row대구광역시 서구 평리동 1215-21
3rd row대구광역시 서구 평리동 1526-18
4th row대구광역시 서구 원대동2가 192-5
5th row대구광역시 서구 중리동 706-3
ValueCountFrequency (%)
대구광역시 2333
24.0%
서구 2333
24.0%
비산동 833
 
8.6%
평리동 708
 
7.3%
내당동 452
 
4.7%
중리동 167
 
1.7%
1층 77
 
0.8%
원대동3가 52
 
0.5%
이현동 50
 
0.5%
원대동1가 42
 
0.4%
Other values (2043) 2657
27.4%
2024-03-15T01:48:55.946109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9665
20.0%
구 4681
 
9.7%
1 2861
 
5.9%
대 2465
 
5.1%
동 2373
 
4.9%
서 2353
 
4.9%
광 2342
 
4.8%
역 2341
 
4.8%
시 2337
 
4.8%
- 2245
 
4.6%
Other values (110) 14746
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24323
50.2%
Decimal Number 12000
24.8%
Space Separator 9665
 
20.0%
Dash Punctuation 2245
 
4.6%
Other Punctuation 91
 
0.2%
Close Punctuation 32
 
0.1%
Open Punctuation 32
 
0.1%
Uppercase Letter 17
 
< 0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4681
19.2%
대 2465
10.1%
동 2373
9.8%
서 2353
9.7%
광 2342
9.6%
역 2341
9.6%
시 2337
9.6%
리 902
 
3.7%
산 837
 
3.4%
비 836
 
3.4%
Other values (87) 2856
11.7%
Decimal Number
ValueCountFrequency (%)
1 2861
23.8%
2 1578
13.2%
3 1395
11.6%
4 1309
10.9%
0 891
 
7.4%
5 882
 
7.3%
6 864
 
7.2%
8 800
 
6.7%
7 711
 
5.9%
9 709
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
35.3%
A 5
29.4%
C 4
23.5%
M 1
 
5.9%
E 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
9665
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2245
100.0%
Other Punctuation
ValueCountFrequency (%)
, 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24323
50.2%
Common 24067
49.7%
Latin 19
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4681
19.2%
대 2465
10.1%
동 2373
9.8%
서 2353
9.7%
광 2342
9.6%
역 2341
9.6%
시 2337
9.6%
리 902
 
3.7%
산 837
 
3.4%
비 836
 
3.4%
Other values (87) 2856
11.7%
Common
ValueCountFrequency (%)
9665
40.2%
1 2861
 
11.9%
- 2245
 
9.3%
2 1578
 
6.6%
3 1395
 
5.8%
4 1309
 
5.4%
0 891
 
3.7%
5 882
 
3.7%
6 864
 
3.6%
8 800
 
3.3%
Other values (6) 1577
 
6.6%
Latin
ValueCountFrequency (%)
B 6
31.6%
A 5
26.3%
C 4
21.1%
M 1
 
5.3%
e 1
 
5.3%
E 1
 
5.3%
a 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24323
50.2%
ASCII 24086
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9665
40.1%
1 2861
 
11.9%
- 2245
 
9.3%
2 1578
 
6.6%
3 1395
 
5.8%
4 1309
 
5.4%
0 891
 
3.7%
5 882
 
3.7%
6 864
 
3.6%
8 800
 
3.3%
Other values (13) 1596
 
6.6%
Hangul
ValueCountFrequency (%)
구 4681
19.2%
대 2465
10.1%
동 2373
9.8%
서 2353
9.7%
광 2342
9.6%
역 2341
9.6%
시 2337
9.6%
리 902
 
3.7%
산 837
 
3.4%
비 836
 
3.4%
Other values (87) 2856
11.7%

우편번호(도로명)
Text

Distinct161
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
2024-03-15T01:48:57.349722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.9297042
Min length1

Characters and Unicode

Total characters11501
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

Unique10 ?
Unique (%)0.4%

Sample

1st row41815
2nd row41825
3rd row41766
4th row41728
5th row41846
ValueCountFrequency (%)
41798 78
 
3.4%
41843 51
 
2.2%
41713 50
 
2.2%
41825 49
 
2.1%
41829 45
 
2.0%
41711 43
 
1.9%
41847 42
 
1.8%
41863 38
 
1.7%
41824 37
 
1.6%
41846 37
 
1.6%
Other values (150) 1822
79.5%
2024-03-15T01:48:59.247534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2872
25.0%
4 2813
24.5%
7 1685
14.7%
8 1356
11.8%
2 572
 
5.0%
3 514
 
4.5%
5 483
 
4.2%
9 416
 
3.6%
6 414
 
3.6%
0 335
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11460
99.6%
Space Separator 41
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2872
25.1%
4 2813
24.5%
7 1685
14.7%
8 1356
11.8%
2 572
 
5.0%
3 514
 
4.5%
5 483
 
4.2%
9 416
 
3.6%
6 414
 
3.6%
0 335
 
2.9%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11501
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2872
25.0%
4 2813
24.5%
7 1685
14.7%
8 1356
11.8%
2 572
 
5.0%
3 514
 
4.5%
5 483
 
4.2%
9 416
 
3.6%
6 414
 
3.6%
0 335
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11501
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2872
25.0%
4 2813
24.5%
7 1685
14.7%
8 1356
11.8%
2 572
 
5.0%
3 514
 
4.5%
5 483
 
4.2%
9 416
 
3.6%
6 414
 
3.6%
0 335
 
2.9%

Missing values

2024-03-15T01:48:47.725454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:48:48.014232image/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

업소명소재지(도로명)소재지(지번)우편번호(도로명)
0서대포소금구이대구광역시 서구 달서로 103 (비산동)대구광역시 서구 비산동 328-441815
1부산식당대구광역시 서구 통학로23길 23-1 (평리동)대구광역시 서구 평리동 1215-2141825
2쌍둥이정갈비대구광역시 서구 국채보상로 195 (평리동)대구광역시 서구 평리동 1526-1841766
3의성식당대구광역시 서구 달서천로83길 30 (원대동2가)대구광역시 서구 원대동2가 192-541728
4김태순의 뚝배기이야기대구광역시 서구 달구벌대로329길 133 (중리동)대구광역시 서구 중리동 706-341846
5물레식당대구광역시 서구 평리로35길 32 (중리동)대구광역시 서구 중리동 1136-2841843
6경원숯불갈비대구광역시 서구 달구벌대로329길 133 (중리동)대구광역시 서구 중리동 706-341846
7성주불고기식당대구광역시 서구 평리로35길 28-4 (중리동)대구광역시 서구 중리동 1136-3541843
8뉴광명식육식당대구광역시 서구 평리로 214, 지하1층 30-1,30-2호 (내당동, 내당광명아파트)대구광역시 서구 내당동 340 내당광명아파트41848
9교촌치킨(내당점)대구광역시 서구 달구벌대로 1795-1, B동 (내당동)대구광역시 서구 내당동 219-7 B동41866
업소명소재지(도로명)소재지(지번)우편번호(도로명)
2323가장맛있는족발 평리점대구광역시 서구 문화로 230, 301동 1층 113, 114호 (평리동, 서대구역반도유보라센텀)대구광역시 서구 평리동 1083-2 서대구역반도유보라센텀41774
2324찜닭수용소대구광역시 서구 국채보상로31길 8, 1층 (평리동)대구광역시 서구 평리동 1536-141768
2325숯계일학팔달점대구광역시 서구 달서천로57길 43, 1층 (비산동)대구광역시 서구 비산동 1246-141713
2326시바기닭발(C바기닭발)대구광역시 서구 달서로26길 3-19, 1층 (비산동)대구광역시 서구 비산동 434-24241798
2327오대감 산오징어대구광역시 서구 달서로 254, 1층 101호 (원대동1가)대구광역시 서구 원대동1가 13141731
2328대구소문난찐빵대구광역시 서구 문화로 231-1, 1층 (평리동)대구광역시 서구 평리동 683-941773
2329나들이커피숍대구광역시 서구 서대구로62길 56, 1층 (비산동)대구광역시 서구 비산동 929-641720
2330본도시락 대구서구청점대구광역시 서구 문화로 230, 302동 110호 (평리동, 서대구역반도유보라센텀)대구광역시 서구 평리동 1083-2 서대구역반도유보라센텀41774
2331레드플레이트 평리점대구광역시 서구 국채보상로52길 51, 1층 (평리동)대구광역시 서구 평리동 1201-141831
2332숯불치킨참잘하는집대구광역시 서구 평리로 164, 1층 (중리동)대구광역시 서구 중리동 703-641846