Overview

Dataset statistics

Number of variables13
Number of observations6417
Missing cells87
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory658.1 KiB
Average record size in memory105.0 B

Variable types

Text7
Numeric1
Categorical4
DateTime1

Dataset

Description대구광역시 달서구 내 음식점 현황에 대한 내용 및 정보가 담겨있음. (좌표, 구분, 업종, 업소명, 주소, 연락처, 식단)
URLhttps://www.data.go.kr/data/3071544/fileData.do

Alerts

기준일자 has constant value ""Constant
구분 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
주관부서 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
행정동명 is highly overall correlated with 업종명 and 1 other fieldsHigh correlation
업종명 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
번호 is highly overall correlated with 구분High correlation
구분 is highly imbalanced (90.4%)Imbalance
업종명 is highly imbalanced (95.8%)Imbalance
주관부서 is highly imbalanced (90.4%)Imbalance
소재지(지번) has 81 (1.3%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:45:32.784791
Analysis finished2023-12-12 03:45:35.668287
Duration2.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Text

Distinct4346
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Memory size50.3 KiB
2023-12-12T12:45:35.970575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.834035
Min length4

Characters and Unicode

Total characters69522
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3216 ?
Unique (%)50.1%

Sample

1st row35.82507871
2nd row35.82709823
3rd row35.83406389
4th row35.83669201
5th row35.85547338
ValueCountFrequency (%)
비정좌표 49
 
0.8%
35.81633635 31
 
0.5%
35.85485186 23
 
0.4%
35.81363969 20
 
0.3%
35.8398497 20
 
0.3%
35.81994817 18
 
0.3%
35.81839219 17
 
0.3%
35.85375933 15
 
0.2%
35.82596896 14
 
0.2%
35.84019229 13
 
0.2%
Other values (4336) 6197
96.6%
2023-12-12T12:45:36.685031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 12344
17.8%
3 11226
16.1%
8 10202
14.7%
. 6368
9.2%
1 5087
7.3%
4 4756
 
6.8%
2 4220
 
6.1%
6 4112
 
5.9%
9 3927
 
5.6%
7 3735
 
5.4%
Other values (5) 3545
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62958
90.6%
Other Punctuation 6368
 
9.2%
Other Letter 196
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 12344
19.6%
3 11226
17.8%
8 10202
16.2%
1 5087
8.1%
4 4756
 
7.6%
2 4220
 
6.7%
6 4112
 
6.5%
9 3927
 
6.2%
7 3735
 
5.9%
0 3349
 
5.3%
Other Letter
ValueCountFrequency (%)
비 49
25.0%
정 49
25.0%
좌 49
25.0%
표 49
25.0%
Other Punctuation
ValueCountFrequency (%)
. 6368
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69326
99.7%
Hangul 196
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
5 12344
17.8%
3 11226
16.2%
8 10202
14.7%
. 6368
9.2%
1 5087
7.3%
4 4756
 
6.9%
2 4220
 
6.1%
6 4112
 
5.9%
9 3927
 
5.7%
7 3735
 
5.4%
Hangul
ValueCountFrequency (%)
비 49
25.0%
정 49
25.0%
좌 49
25.0%
표 49
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69326
99.7%
Hangul 196
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 12344
17.8%
3 11226
16.2%
8 10202
14.7%
. 6368
9.2%
1 5087
7.3%
4 4756
 
6.9%
2 4220
 
6.1%
6 4112
 
5.9%
9 3927
 
5.7%
7 3735
 
5.4%
Hangul
ValueCountFrequency (%)
비 49
25.0%
정 49
25.0%
좌 49
25.0%
표 49
25.0%

경도
Text

Distinct4333
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size50.3 KiB
2023-12-12T12:45:37.111274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.839956
Min length4

Characters and Unicode

Total characters69560
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3199 ?
Unique (%)49.9%

Sample

1st row128.5458459
2nd row128.5516371
3rd row128.5558916
4th row128.5308718
5th row128.5533067
ValueCountFrequency (%)
비정좌표 49
 
0.8%
128.5255458 31
 
0.5%
128.5648168 23
 
0.4%
128.5442648 20
 
0.3%
128.5238681 20
 
0.3%
128.5240646 18
 
0.3%
128.5395696 17
 
0.3%
128.5046469 15
 
0.2%
128.5281993 14
 
0.2%
128.544245 13
 
0.2%
Other values (4323) 6197
96.6%
2023-12-12T12:45:37.771012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 10753
15.5%
1 9783
14.1%
8 9756
14.0%
5 9577
13.8%
. 6368
9.2%
4 5161
7.4%
3 4785
6.9%
9 3703
 
5.3%
6 3539
 
5.1%
7 3184
 
4.6%
Other values (5) 2951
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62996
90.6%
Other Punctuation 6368
 
9.2%
Other Letter 196
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 10753
17.1%
1 9783
15.5%
8 9756
15.5%
5 9577
15.2%
4 5161
8.2%
3 4785
7.6%
9 3703
 
5.9%
6 3539
 
5.6%
7 3184
 
5.1%
0 2755
 
4.4%
Other Letter
ValueCountFrequency (%)
비 49
25.0%
정 49
25.0%
좌 49
25.0%
표 49
25.0%
Other Punctuation
ValueCountFrequency (%)
. 6368
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69364
99.7%
Hangul 196
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 10753
15.5%
1 9783
14.1%
8 9756
14.1%
5 9577
13.8%
. 6368
9.2%
4 5161
7.4%
3 4785
6.9%
9 3703
 
5.3%
6 3539
 
5.1%
7 3184
 
4.6%
Hangul
ValueCountFrequency (%)
비 49
25.0%
정 49
25.0%
좌 49
25.0%
표 49
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69364
99.7%
Hangul 196
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 10753
15.5%
1 9783
14.1%
8 9756
14.1%
5 9577
13.8%
. 6368
9.2%
4 5161
7.4%
3 4785
6.9%
9 3703
 
5.3%
6 3539
 
5.1%
7 3184
 
4.6%
Hangul
ValueCountFrequency (%)
비 49
25.0%
정 49
25.0%
좌 49
25.0%
표 49
25.0%

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct6417
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3209
Minimum1
Maximum6417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size56.5 KiB
2023-12-12T12:45:37.998659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile321.8
Q11605
median3209
Q34813
95-th percentile6096.2
Maximum6417
Range6416
Interquartile range (IQR)3208

Descriptive statistics

Standard deviation1852.5727
Coefficient of variation (CV)0.57730529
Kurtosis-1.2
Mean3209
Median Absolute Deviation (MAD)1604
Skewness0
Sum20592153
Variance3432025.5
MonotonicityStrictly increasing
2023-12-12T12:45:38.211038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4276 1
 
< 0.1%
4286 1
 
< 0.1%
4285 1
 
< 0.1%
4284 1
 
< 0.1%
4283 1
 
< 0.1%
4282 1
 
< 0.1%
4281 1
 
< 0.1%
4280 1
 
< 0.1%
4279 1
 
< 0.1%
Other values (6407) 6407
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6417 1
< 0.1%
6416 1
< 0.1%
6415 1
< 0.1%
6414 1
< 0.1%
6413 1
< 0.1%
6412 1
< 0.1%
6411 1
< 0.1%
6410 1
< 0.1%
6409 1
< 0.1%
6408 1
< 0.1%

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.3 KiB
<NA>
6338 
착한가격
 
79

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6338
98.8%
착한가격 79
 
1.2%

Length

2023-12-12T12:45:38.513205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:45:38.698987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6338
98.8%
착한가격 79
 
1.2%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.3 KiB
일반음식점
6338 
한식
 
61
중식
 
10
일식
 
5
기타요식업
 
2

Length

Max length5
Median length5
Mean length4.9640019
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 6338
98.8%
한식 61
 
1.0%
중식 10
 
0.2%
일식 5
 
0.1%
기타요식업 2
 
< 0.1%
기타 1
 
< 0.1%

Length

2023-12-12T12:45:38.861143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:45:39.020196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 6338
98.8%
한식 61
 
1.0%
중식 10
 
0.2%
일식 5
 
0.1%
기타요식업 2
 
< 0.1%
기타 1
 
< 0.1%

업소명
Text

Distinct6007
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size50.3 KiB
2023-12-12T12:45:39.314233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length6.5479196
Min length1

Characters and Unicode

Total characters42018
Distinct characters1000
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5689 ?
Unique (%)88.7%

Sample

1st row월촌반점
2nd row우정막창
3rd row달맞이
4th row해선횟집
5th row돌머리
ValueCountFrequency (%)
상인점 56
 
0.7%
성서점 48
 
0.6%
진천점 25
 
0.3%
죽전점 24
 
0.3%
월성점 24
 
0.3%
신월성점 21
 
0.3%
대구월성점 15
 
0.2%
용산점 14
 
0.2%
대구성서점 13
 
0.2%
맘스터치 13
 
0.2%
Other values (6340) 7386
96.7%
2023-12-12T12:45:39.873646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1346
 
3.2%
1223
 
2.9%
이 858
 
2.0%
대 703
 
1.7%
식 629
 
1.5%
( 612
 
1.5%
) 612
 
1.5%
성 552
 
1.3%
당 529
 
1.3%
구 526
 
1.3%
Other values (990) 34428
81.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36881
87.8%
Space Separator 1223
 
2.9%
Uppercase Letter 1081
 
2.6%
Lowercase Letter 903
 
2.1%
Open Punctuation 612
 
1.5%
Close Punctuation 612
 
1.5%
Decimal Number 499
 
1.2%
Other Punctuation 187
 
0.4%
Connector Punctuation 7
 
< 0.1%
Dash Punctuation 5
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1346
 
3.6%
이 858
 
2.3%
대 703
 
1.9%
식 629
 
1.7%
성 552
 
1.5%
당 529
 
1.4%
구 526
 
1.4%
리 520
 
1.4%
치 459
 
1.2%
스 427
 
1.2%
Other values (908) 30332
82.2%
Lowercase Letter
ValueCountFrequency (%)
e 111
12.3%
o 100
 
11.1%
a 81
 
9.0%
n 63
 
7.0%
i 59
 
6.5%
r 57
 
6.3%
s 48
 
5.3%
c 39
 
4.3%
t 38
 
4.2%
u 37
 
4.1%
Other values (16) 270
29.9%
Uppercase Letter
ValueCountFrequency (%)
B 97
 
9.0%
A 94
 
8.7%
E 83
 
7.7%
O 79
 
7.3%
C 64
 
5.9%
T 62
 
5.7%
H 54
 
5.0%
N 54
 
5.0%
S 51
 
4.7%
D 44
 
4.1%
Other values (16) 399
36.9%
Decimal Number
ValueCountFrequency (%)
1 91
18.2%
0 89
17.8%
2 55
11.0%
9 53
10.6%
3 51
10.2%
8 40
8.0%
7 38
7.6%
5 29
 
5.8%
6 27
 
5.4%
4 26
 
5.2%
Other Punctuation
ValueCountFrequency (%)
& 89
47.6%
. 54
28.9%
, 29
 
15.5%
· 6
 
3.2%
! 3
 
1.6%
? 2
 
1.1%
: 1
 
0.5%
; 1
 
0.5%
# 1
 
0.5%
% 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
< 2
40.0%
> 2
40.0%
~ 1
20.0%
Space Separator
ValueCountFrequency (%)
1223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 612
100.0%
Close Punctuation
ValueCountFrequency (%)
) 612
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36844
87.7%
Common 3152
 
7.5%
Latin 1985
 
4.7%
Han 33
 
0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1346
 
3.7%
이 858
 
2.3%
대 703
 
1.9%
식 629
 
1.7%
성 552
 
1.5%
당 529
 
1.4%
구 526
 
1.4%
리 520
 
1.4%
치 459
 
1.2%
스 427
 
1.2%
Other values (881) 30295
82.2%
Latin
ValueCountFrequency (%)
e 111
 
5.6%
o 100
 
5.0%
B 97
 
4.9%
A 94
 
4.7%
E 83
 
4.2%
a 81
 
4.1%
O 79
 
4.0%
C 64
 
3.2%
n 63
 
3.2%
T 62
 
3.1%
Other values (43) 1151
58.0%
Common
ValueCountFrequency (%)
1223
38.8%
( 612
19.4%
) 612
19.4%
1 91
 
2.9%
& 89
 
2.8%
0 89
 
2.8%
2 55
 
1.7%
. 54
 
1.7%
9 53
 
1.7%
3 51
 
1.6%
Other values (19) 223
 
7.1%
Han
ValueCountFrequency (%)
愛 5
 
15.2%
家 4
 
12.1%
海 2
 
6.1%
究 2
 
6.1%
麻 2
 
6.1%
申 1
 
3.0%
火 1
 
3.0%
山 1
 
3.0%
壯 1
 
3.0%
人 1
 
3.0%
Other values (13) 13
39.4%
Hiragana
ValueCountFrequency (%)
て 1
25.0%
ん 1
25.0%
ご 1
25.0%
く 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36842
87.7%
ASCII 5128
 
12.2%
CJK 30
 
0.1%
None 6
 
< 0.1%
Hiragana 4
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1346
 
3.7%
이 858
 
2.3%
대 703
 
1.9%
식 629
 
1.7%
성 552
 
1.5%
당 529
 
1.4%
구 526
 
1.4%
리 520
 
1.4%
치 459
 
1.2%
스 427
 
1.2%
Other values (880) 30293
82.2%
ASCII
ValueCountFrequency (%)
1223
23.8%
( 612
 
11.9%
) 612
 
11.9%
e 111
 
2.2%
o 100
 
2.0%
B 97
 
1.9%
A 94
 
1.8%
1 91
 
1.8%
& 89
 
1.7%
0 89
 
1.7%
Other values (69) 2010
39.2%
None
ValueCountFrequency (%)
· 6
100.0%
CJK
ValueCountFrequency (%)
愛 5
16.7%
家 4
 
13.3%
海 2
 
6.7%
究 2
 
6.7%
麻 2
 
6.7%
申 1
 
3.3%
火 1
 
3.3%
山 1
 
3.3%
壯 1
 
3.3%
人 1
 
3.3%
Other values (10) 10
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Hiragana
ValueCountFrequency (%)
て 1
25.0%
ん 1
25.0%
ご 1
25.0%
く 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
女 1
33.3%
露 1
33.3%
林 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(도로명)
Text

Distinct5968
Distinct (%)93.1%
Missing6
Missing (%)0.1%
Memory size50.3 KiB
2023-12-12T12:45:40.253316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length58
Mean length31.268133
Min length18

Characters and Unicode

Total characters200460
Distinct characters345
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

Unique5606 ?
Unique (%)87.4%

Sample

1st row대구광역시 달서구 월배로65길 9 (송현동,(지상1층))
2nd row대구광역시 달서구 앞산순환로49길 73, B동 (송현동,송경시장)
3rd row대구광역시 달서구 월배로94길 10, 1층 (송현동)
4th row대구광역시 달서구 학산로7길 96 (본동)
5th row대구광역시 달서구 달구벌대로344길 17 (두류동)
ValueCountFrequency (%)
대구광역시 6411
 
16.4%
달서구 6411
 
16.4%
1층 3017
 
7.7%
상인동 685
 
1.8%
지상1층 435
 
1.1%
두류동 429
 
1.1%
신당동 401
 
1.0%
송현동 379
 
1.0%
이곡동 377
 
1.0%
진천동 371
 
1.0%
Other values (2657) 20076
51.5%
2023-12-12T12:45:40.828366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32592
 
16.3%
구 13586
 
6.8%
1 10612
 
5.3%
대 7725
 
3.9%
동 7690
 
3.8%
서 7439
 
3.7%
( 7380
 
3.7%
) 7380
 
3.7%
달 7060
 
3.5%
시 6517
 
3.3%
Other values (335) 92479
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114082
56.9%
Space Separator 32592
 
16.3%
Decimal Number 31480
 
15.7%
Open Punctuation 7380
 
3.7%
Close Punctuation 7380
 
3.7%
Other Punctuation 6130
 
3.1%
Dash Punctuation 916
 
0.5%
Uppercase Letter 382
 
0.2%
Math Symbol 86
 
< 0.1%
Lowercase Letter 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 13586
 
11.9%
대 7725
 
6.8%
동 7690
 
6.7%
서 7439
 
6.5%
달 7060
 
6.2%
시 6517
 
5.7%
역 6468
 
5.7%
광 6422
 
5.6%
로 6087
 
5.3%
층 5047
 
4.4%
Other values (285) 40041
35.1%
Uppercase Letter
ValueCountFrequency (%)
A 97
25.4%
B 70
18.3%
R 26
 
6.8%
E 25
 
6.5%
S 24
 
6.3%
T 22
 
5.8%
O 17
 
4.5%
C 16
 
4.2%
M 14
 
3.7%
W 12
 
3.1%
Other values (10) 59
15.4%
Lowercase Letter
ValueCountFrequency (%)
e 10
31.2%
a 3
 
9.4%
l 2
 
6.2%
c 2
 
6.2%
d 2
 
6.2%
i 2
 
6.2%
r 2
 
6.2%
w 2
 
6.2%
o 2
 
6.2%
t 2
 
6.2%
Other values (2) 3
 
9.4%
Decimal Number
ValueCountFrequency (%)
1 10612
33.7%
2 3995
 
12.7%
3 3104
 
9.9%
0 2584
 
8.2%
4 2407
 
7.6%
5 2218
 
7.0%
7 1861
 
5.9%
6 1656
 
5.3%
9 1542
 
4.9%
8 1501
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 6126
99.9%
& 2
 
< 0.1%
. 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
32592
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7380
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 916
100.0%
Math Symbol
ValueCountFrequency (%)
~ 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114082
56.9%
Common 85964
42.9%
Latin 414
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 13586
 
11.9%
대 7725
 
6.8%
동 7690
 
6.7%
서 7439
 
6.5%
달 7060
 
6.2%
시 6517
 
5.7%
역 6468
 
5.7%
광 6422
 
5.6%
로 6087
 
5.3%
층 5047
 
4.4%
Other values (285) 40041
35.1%
Latin
ValueCountFrequency (%)
A 97
23.4%
B 70
16.9%
R 26
 
6.3%
E 25
 
6.0%
S 24
 
5.8%
T 22
 
5.3%
O 17
 
4.1%
C 16
 
3.9%
M 14
 
3.4%
W 12
 
2.9%
Other values (22) 91
22.0%
Common
ValueCountFrequency (%)
32592
37.9%
1 10612
 
12.3%
( 7380
 
8.6%
) 7380
 
8.6%
, 6126
 
7.1%
2 3995
 
4.6%
3 3104
 
3.6%
0 2584
 
3.0%
4 2407
 
2.8%
5 2218
 
2.6%
Other values (8) 7566
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114082
56.9%
ASCII 86378
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32592
37.7%
1 10612
 
12.3%
( 7380
 
8.5%
) 7380
 
8.5%
, 6126
 
7.1%
2 3995
 
4.6%
3 3104
 
3.6%
0 2584
 
3.0%
4 2407
 
2.8%
5 2218
 
2.6%
Other values (40) 7980
 
9.2%
Hangul
ValueCountFrequency (%)
구 13586
 
11.9%
대 7725
 
6.8%
동 7690
 
6.7%
서 7439
 
6.5%
달 7060
 
6.2%
시 6517
 
5.7%
역 6468
 
5.7%
광 6422
 
5.6%
로 6087
 
5.3%
층 5047
 
4.4%
Other values (285) 40041
35.1%

소재지(지번)
Text

MISSING 

Distinct5331
Distinct (%)84.1%
Missing81
Missing (%)1.3%
Memory size50.3 KiB
2023-12-12T12:45:41.212633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length23.752683
Min length16

Characters and Unicode

Total characters150497
Distinct characters303
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

Unique4720 ?
Unique (%)74.5%

Sample

1st row대구광역시 달서구 송현동 1914-1 (지상1층)
2nd row대구광역시 달서구 송현동 1941-0003 송경시장 B동
3rd row대구광역시 달서구 송현동 0196-0001 외1필지
4th row대구광역시 달서구 본동 0682-0001
5th row대구광역시 달서구 두류동 0490-0002
ValueCountFrequency (%)
대구광역시 6336
22.2%
달서구 6336
22.2%
지상1층 924
 
3.2%
상인동 818
 
2.9%
두류동 510
 
1.8%
송현동 476
 
1.7%
이곡동 474
 
1.7%
신당동 473
 
1.7%
진천동 426
 
1.5%
감삼동 422
 
1.5%
Other values (5122) 11374
39.8%
2023-12-12T12:45:41.881760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28300
18.8%
구 12687
 
8.4%
1 8966
 
6.0%
동 6730
 
4.5%
대 6716
 
4.5%
서 6460
 
4.3%
시 6416
 
4.3%
역 6390
 
4.2%
달 6359
 
4.2%
광 6343
 
4.2%
Other values (293) 55130
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79936
53.1%
Decimal Number 34363
22.8%
Space Separator 28300
 
18.8%
Dash Punctuation 5239
 
3.5%
Close Punctuation 1186
 
0.8%
Open Punctuation 1186
 
0.8%
Uppercase Letter 198
 
0.1%
Other Punctuation 51
 
< 0.1%
Math Symbol 31
 
< 0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 12687
15.9%
동 6730
 
8.4%
대 6716
 
8.4%
서 6460
 
8.1%
시 6416
 
8.0%
역 6390
 
8.0%
달 6359
 
8.0%
광 6343
 
7.9%
상 2112
 
2.6%
층 1465
 
1.8%
Other values (256) 18258
22.8%
Uppercase Letter
ValueCountFrequency (%)
B 50
25.3%
A 37
18.7%
R 15
 
7.6%
E 14
 
7.1%
T 13
 
6.6%
C 12
 
6.1%
O 11
 
5.6%
W 9
 
4.5%
M 7
 
3.5%
D 7
 
3.5%
Other values (7) 23
11.6%
Decimal Number
ValueCountFrequency (%)
1 8966
26.1%
0 5413
15.8%
2 3654
10.6%
3 2848
 
8.3%
4 2768
 
8.1%
5 2564
 
7.5%
7 2148
 
6.3%
8 2047
 
6.0%
6 2028
 
5.9%
9 1927
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 46
90.2%
. 3
 
5.9%
& 2
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
85.7%
h 1
 
14.3%
Space Separator
ValueCountFrequency (%)
28300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5239
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1186
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1186
100.0%
Math Symbol
ValueCountFrequency (%)
~ 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79936
53.1%
Common 70356
46.7%
Latin 205
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 12687
15.9%
동 6730
 
8.4%
대 6716
 
8.4%
서 6460
 
8.1%
시 6416
 
8.0%
역 6390
 
8.0%
달 6359
 
8.0%
광 6343
 
7.9%
상 2112
 
2.6%
층 1465
 
1.8%
Other values (256) 18258
22.8%
Latin
ValueCountFrequency (%)
B 50
24.4%
A 37
18.0%
R 15
 
7.3%
E 14
 
6.8%
T 13
 
6.3%
C 12
 
5.9%
O 11
 
5.4%
W 9
 
4.4%
M 7
 
3.4%
D 7
 
3.4%
Other values (9) 30
14.6%
Common
ValueCountFrequency (%)
28300
40.2%
1 8966
 
12.7%
0 5413
 
7.7%
- 5239
 
7.4%
2 3654
 
5.2%
3 2848
 
4.0%
4 2768
 
3.9%
5 2564
 
3.6%
7 2148
 
3.1%
8 2047
 
2.9%
Other values (8) 6409
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79936
53.1%
ASCII 70561
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28300
40.1%
1 8966
 
12.7%
0 5413
 
7.7%
- 5239
 
7.4%
2 3654
 
5.2%
3 2848
 
4.0%
4 2768
 
3.9%
5 2564
 
3.6%
7 2148
 
3.0%
8 2047
 
2.9%
Other values (27) 6614
 
9.4%
Hangul
ValueCountFrequency (%)
구 12687
15.9%
동 6730
 
8.4%
대 6716
 
8.4%
서 6460
 
8.1%
시 6416
 
8.0%
역 6390
 
8.0%
달 6359
 
8.0%
광 6343
 
7.9%
상 2112
 
2.6%
층 1465
 
1.8%
Other values (256) 18258
22.8%

소재지전화
Text

Distinct3844
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Memory size50.3 KiB
2023-12-12T12:45:42.225539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.088359
Min length7

Characters and Unicode

Total characters64737
Distinct characters18
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

Unique3747 ?
Unique (%)58.4%

Sample

1st row053-627-3769
2nd row053-628-7515
3rd row053-655-3988
4th row053-527-4674
5th row053-652-6777
ValueCountFrequency (%)
개인정보 2461
27.7%
포함 2461
27.7%
053-620-0001 12
 
0.1%
053-258-5840 5
 
0.1%
053-644-6656 4
 
< 0.1%
053-589-6700 4
 
< 0.1%
053-585-2304 2
 
< 0.1%
053-592-9166 2
 
< 0.1%
053-634-5092 2
 
< 0.1%
053-591-2020 2
 
< 0.1%
Other values (3835) 3923
44.2%
2023-12-12T12:45:42.779925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 8171
12.6%
- 7911
12.2%
3 6846
 
10.6%
0 6051
 
9.3%
6 3935
 
6.1%
2 3502
 
5.4%
8 2725
 
4.2%
인 2461
 
3.8%
개 2461
 
3.8%
함 2461
 
3.8%
Other values (8) 18213
28.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39599
61.2%
Other Letter 14766
 
22.8%
Dash Punctuation 7911
 
12.2%
Space Separator 2461
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 8171
20.6%
3 6846
17.3%
0 6051
15.3%
6 3935
9.9%
2 3502
8.8%
8 2725
 
6.9%
9 2275
 
5.7%
1 2114
 
5.3%
7 2103
 
5.3%
4 1877
 
4.7%
Other Letter
ValueCountFrequency (%)
인 2461
16.7%
개 2461
16.7%
함 2461
16.7%
포 2461
16.7%
보 2461
16.7%
정 2461
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 7911
100.0%
Space Separator
ValueCountFrequency (%)
2461
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49971
77.2%
Hangul 14766
 
22.8%

Most frequent character per script

Common
ValueCountFrequency (%)
5 8171
16.4%
- 7911
15.8%
3 6846
13.7%
0 6051
12.1%
6 3935
7.9%
2 3502
7.0%
8 2725
 
5.5%
2461
 
4.9%
9 2275
 
4.6%
1 2114
 
4.2%
Other values (2) 3980
8.0%
Hangul
ValueCountFrequency (%)
인 2461
16.7%
개 2461
16.7%
함 2461
16.7%
포 2461
16.7%
보 2461
16.7%
정 2461
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49971
77.2%
Hangul 14766
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 8171
16.4%
- 7911
15.8%
3 6846
13.7%
0 6051
12.1%
6 3935
7.9%
2 3502
7.0%
8 2725
 
5.5%
2461
 
4.9%
9 2275
 
4.6%
1 2114
 
4.2%
Other values (2) 3980
8.0%
Hangul
ValueCountFrequency (%)
인 2461
16.7%
개 2461
16.7%
함 2461
16.7%
포 2461
16.7%
보 2461
16.7%
정 2461
16.7%

식단
Text

Distinct65
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size50.3 KiB
2023-12-12T12:45:43.136690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length8
Mean length8.0289855
Min length8

Characters and Unicode

Total characters51522
Distinct characters106
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)0.9%

Sample

1st row일반음식점 식단
2nd row일반음식점 식단
3rd row일반음식점 식단
4th row일반음식점 식단
5th row일반음식점 식단
ValueCountFrequency (%)
일반음식점 6338
49.4%
식단 6338
49.4%
칼국수 14
 
0.1%
6000원 14
 
0.1%
5000원 11
 
0.1%
7000원 11
 
0.1%
자장면 10
 
0.1%
4000원 8
 
0.1%
8000원 7
 
0.1%
6500원 7
 
0.1%
Other values (58) 82
 
0.6%
2023-12-12T12:45:43.695686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 12685
24.6%
6424
12.5%
음 6340
12.3%
일 6339
12.3%
점 6338
12.3%
단 6338
12.3%
반 6338
12.3%
0 226
 
0.4%
원 79
 
0.2%
5 30
 
0.1%
Other values (96) 385
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44747
86.9%
Space Separator 6424
 
12.5%
Decimal Number 330
 
0.6%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 12685
28.3%
음 6340
14.2%
일 6339
14.2%
점 6338
14.2%
단 6338
14.2%
반 6338
14.2%
원 79
 
0.2%
국 27
 
0.1%
수 25
 
0.1%
장 18
 
< 0.1%
Other values (81) 220
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 226
68.5%
5 30
 
9.1%
6 21
 
6.4%
7 12
 
3.6%
4 12
 
3.6%
8 8
 
2.4%
3 7
 
2.1%
9 5
 
1.5%
1 5
 
1.5%
2 4
 
1.2%
Space Separator
ValueCountFrequency (%)
6424
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44746
86.8%
Common 6771
 
13.1%
Latin 4
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 12685
28.3%
음 6340
14.2%
일 6339
14.2%
점 6338
14.2%
단 6338
14.2%
반 6338
14.2%
원 79
 
0.2%
국 27
 
0.1%
수 25
 
0.1%
장 18
 
< 0.1%
Other values (80) 219
 
0.5%
Common
ValueCountFrequency (%)
6424
94.9%
0 226
 
3.3%
5 30
 
0.4%
6 21
 
0.3%
7 12
 
0.2%
4 12
 
0.2%
8 8
 
0.1%
) 7
 
0.1%
3 7
 
0.1%
( 7
 
0.1%
Other values (4) 17
 
0.3%
Latin
ValueCountFrequency (%)
g 4
100.0%
Han
ValueCountFrequency (%)
中 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44746
86.8%
ASCII 6775
 
13.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 12685
28.3%
음 6340
14.2%
일 6339
14.2%
점 6338
14.2%
단 6338
14.2%
반 6338
14.2%
원 79
 
0.2%
국 27
 
0.1%
수 25
 
0.1%
장 18
 
< 0.1%
Other values (80) 219
 
0.5%
ASCII
ValueCountFrequency (%)
6424
94.8%
0 226
 
3.3%
5 30
 
0.4%
6 21
 
0.3%
7 12
 
0.2%
4 12
 
0.2%
8 8
 
0.1%
) 7
 
0.1%
3 7
 
0.1%
( 7
 
0.1%
Other values (5) 21
 
0.3%
CJK
ValueCountFrequency (%)
中 1
100.0%

행정동명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size50.3 KiB
신당동
793 
진천동
620 
상인2동
493 
월성1동
 
371
감삼동
 
354
Other values (19)
3786 

Length

Max length6
Median length4
Mean length3.5482313
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row송현2동
2nd row송현1동
3rd row송현1동
4th row본동
5th row두류3동

Common Values

ValueCountFrequency (%)
신당동 793
 
12.4%
진천동 620
 
9.7%
상인2동 493
 
7.7%
월성1동 371
 
5.8%
감삼동 354
 
5.5%
성당동 292
 
4.6%
송현2동 276
 
4.3%
두류3동 271
 
4.2%
이곡2동 253
 
3.9%
용산1동 250
 
3.9%
Other values (14) 2444
38.1%

Length

2023-12-12T12:45:43.940303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신당동 793
 
12.4%
진천동 620
 
9.7%
상인2동 493
 
7.7%
월성1동 371
 
5.8%
감삼동 354
 
5.5%
성당동 292
 
4.6%
송현2동 276
 
4.3%
두류3동 271
 
4.2%
이곡2동 253
 
3.9%
용산1동 250
 
3.9%
Other values (14) 2444
38.1%

주관부서
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.3 KiB
대구광역시 달서구 위생과
6338 
대구광역시 달서구 경제지원과
 
79

Length

Max length15
Median length13
Mean length13.024622
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달서구 위생과
2nd row대구광역시 달서구 위생과
3rd row대구광역시 달서구 위생과
4th row대구광역시 달서구 위생과
5th row대구광역시 달서구 위생과

Common Values

ValueCountFrequency (%)
대구광역시 달서구 위생과 6338
98.8%
대구광역시 달서구 경제지원과 79
 
1.2%

Length

2023-12-12T12:45:44.143174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:45:44.316877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 6417
33.3%
달서구 6417
33.3%
위생과 6338
32.9%
경제지원과 79
 
0.4%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.3 KiB
Minimum2023-03-20 00:00:00
Maximum2023-03-20 00:00:00
2023-12-12T12:45:44.461951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:45:44.598610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:45:34.841404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:45:44.717201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종명식단행정동명주관부서
번호1.0000.2700.1490.1420.433
업종명0.2701.0001.000NaN1.000
식단0.1491.0001.000NaN1.000
행정동명0.142NaNNaN1.000NaN
주관부서0.4331.0001.000NaN1.000
2023-12-12T12:45:44.870227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분주관부서행정동명업종명
구분1.0001.000NaN1.000
주관부서1.0001.0001.0001.000
행정동명NaN1.0001.0001.000
업종명1.0001.0001.0001.000
2023-12-12T12:45:45.321380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분업종명행정동명주관부서
번호1.0001.0000.1450.0530.333
구분1.0001.0001.0000.0001.000
업종명0.1451.0001.0001.0001.000
행정동명0.0530.0001.0001.0001.000
주관부서0.3331.0001.0001.0001.000

Missing values

2023-12-12T12:45:35.061903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:45:35.347559image/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.
2023-12-12T12:45:35.543918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

위도경도번호구분업종명업소명소재지(도로명)소재지(지번)소재지전화식단행정동명주관부서기준일자
035.82507871128.54584591<NA>일반음식점월촌반점대구광역시 달서구 월배로65길 9 (송현동,(지상1층))대구광역시 달서구 송현동 1914-1 (지상1층)053-627-3769일반음식점 식단송현2동대구광역시 달서구 위생과2023-03-20
135.82709823128.55163712<NA>일반음식점우정막창대구광역시 달서구 앞산순환로49길 73, B동 (송현동,송경시장)대구광역시 달서구 송현동 1941-0003 송경시장 B동053-628-7515일반음식점 식단송현1동대구광역시 달서구 위생과2023-03-20
235.83406389128.55589163<NA>일반음식점달맞이대구광역시 달서구 월배로94길 10, 1층 (송현동)대구광역시 달서구 송현동 0196-0001 외1필지053-655-3988일반음식점 식단송현1동대구광역시 달서구 위생과2023-03-20
335.83669201128.53087184<NA>일반음식점해선횟집대구광역시 달서구 학산로7길 96 (본동)대구광역시 달서구 본동 0682-0001053-527-4674일반음식점 식단본동대구광역시 달서구 위생과2023-03-20
435.85547338128.55330675<NA>일반음식점돌머리대구광역시 달서구 달구벌대로344길 17 (두류동)대구광역시 달서구 두류동 0490-0002053-652-6777일반음식점 식단두류3동대구광역시 달서구 위생과2023-03-20
535.81457916128.53765146<NA>일반음식점낙원장반점대구광역시 달서구 월곡로53동길 47, 지상1층 (상인동)대구광역시 달서구 상인동 1416-0007 (지상1층)053-632-4664일반음식점 식단상인2동대구광역시 달서구 위생과2023-03-20
635.84911849128.54357557<NA>일반음식점오복대구광역시 달서구 감삼남5길 2 (감삼동)대구광역시 달서구 감삼동 0190-0006053-556-0497일반음식점 식단감삼동대구광역시 달서구 위생과2023-03-20
735.84938767128.5438438<NA>일반음식점신성식당대구광역시 달서구 감삼남길 127 (감삼동)대구광역시 달서구 감삼동 0156-0005053-561-3400일반음식점 식단감삼동대구광역시 달서구 위생과2023-03-20
835.83666915128.54002579<NA>일반음식점치키치키대구광역시 달서구 와룡로10길 51 (본동)대구광역시 달서구 본동 778-1053-623-8174일반음식점 식단본동대구광역시 달서구 위생과2023-03-20
935.8361412128.537166310<NA>일반음식점대영식당대구광역시 달서구 와룡로 40 (본동)대구광역시 달서구 본동 0853-0001053-623-0145일반음식점 식단본동대구광역시 달서구 위생과2023-03-20
위도경도번호구분업종명업소명소재지(도로명)소재지(지번)소재지전화식단행정동명주관부서기준일자
640735.85840018128.56159796408착한가격한식신광식육식당대구광역시 달서구 야외음악당로47길 105(두류동)<NA>053-624-9275돼지국밥 5000원<NA>대구광역시 달서구 경제지원과2023-03-20
640835.83683921128.53627456409착한가격한식도람자반고등어대구광역시 달서구 와룡로9길 8(본동)<NA>053-522-6565정식 6500원<NA>대구광역시 달서구 경제지원과2023-03-20
640935.81021842128.53726796410착한가격한식행복한 해물찜대구광역시 달서구 상화로 213(상인동)<NA>053-634-6012아구찜 中 32000원<NA>대구광역시 달서구 경제지원과2023-03-20
641035.84536058128.54542066411착한가격한식두류칼국수대구광역시 달서구 당산동길 15(성당동)<NA>053-622-3313잔치국수 5000원<NA>대구광역시 달서구 경제지원과2023-03-20
641135.83840303128.55313256412착한가격한식영래칼국수대구광역시 달서구 대명천로 58(성당동)<NA>053-653-7933칼국수 6000원<NA>대구광역시 달서구 경제지원과2023-03-20
641235.8561919128.49625886413착한가격기타요식업폐이스커피대구광역시 달서구 성서서로69길 66-6, 1층 (신당동)<NA>053-592-1320커피(아메리카노) 1200원<NA>대구광역시 달서구 경제지원과2023-03-20
641335.85613573128.52219976414착한가격한식보영이네 시골밥상대구광역시 달서구 성지로14안길 14(용산동)<NA>053-252-6633한정식 7000원<NA>대구광역시 달서구 경제지원과2023-03-20
641435.85093035128.53350226415착한가격한식신면식당대구광역시 달서구 달구벌대로301길 14-27 (용산동)<NA>053-263-4002멸치국수 5000원<NA>대구광역시 달서구 경제지원과2023-03-20
641535.8428199128.53113416416착한가격한식엄마손칼국수대구광역시 달서구 용산로14길 6(장기동)<NA>053-553-8588된장찌개 7000원<NA>대구광역시 달서구 경제지원과2023-03-20
641635.85333923128.53701696417착한가격기타요식업카페체크대구광역시 달서구 와룡로 231(죽전동)<NA>053-710-4998아메리카노 1000원<NA>대구광역시 달서구 경제지원과2023-03-20