Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells6115
Missing cells (%)10.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory546.9 KiB
Average record size in memory56.0 B

Variable types

Text4
Categorical2

Dataset

Description대구광역시 음식점현황_20160131
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3056779&dataSetDetailId=30567791e98e568a2b4e&provdMethod=FILE

Alerts

업종 has constant value ""Constant
전화번호 has 6031 (60.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:36:06.500718
Analysis finished2023-12-10 17:36:10.333657
Duration3.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct8724
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T02:36:10.856380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length5.6461
Min length1

Characters and Unicode

Total characters56461
Distinct characters1026
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

Unique8005 ?
Unique (%)80.0%

Sample

1st row더로마
2nd row옛날막창식당
3rd row중국관식당
4th row옛날통닭
5th row짬뽕컴
ValueCountFrequency (%)
호식이두마리치킨 19
 
0.2%
식당 19
 
0.2%
동성로점 16
 
0.1%
투다리 15
 
0.1%
교촌치킨 14
 
0.1%
안동찜닭 13
 
0.1%
막창 13
 
0.1%
땅땅치킨 13
 
0.1%
대성식당 13
 
0.1%
옛날통닭 12
 
0.1%
Other values (9162) 11076
98.7%
2023-12-11T02:36:11.877913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1920
 
3.4%
당 1655
 
2.9%
1223
 
2.2%
이 1125
 
2.0%
점 1119
 
2.0%
리 838
 
1.5%
대 772
 
1.4%
국 681
 
1.2%
치 657
 
1.2%
동 621
 
1.1%
Other values (1016) 45850
81.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52356
92.7%
Space Separator 1223
 
2.2%
Uppercase Letter 603
 
1.1%
Decimal Number 548
 
1.0%
Open Punctuation 521
 
0.9%
Close Punctuation 521
 
0.9%
Lowercase Letter 509
 
0.9%
Other Punctuation 166
 
0.3%
Dash Punctuation 9
 
< 0.1%
Letter Number 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1920
 
3.7%
당 1655
 
3.2%
이 1125
 
2.1%
점 1119
 
2.1%
리 838
 
1.6%
대 772
 
1.5%
국 681
 
1.3%
치 657
 
1.3%
동 621
 
1.2%
구 618
 
1.2%
Other values (938) 42350
80.9%
Uppercase Letter
ValueCountFrequency (%)
B 87
14.4%
C 52
 
8.6%
O 47
 
7.8%
H 45
 
7.5%
A 36
 
6.0%
M 32
 
5.3%
T 31
 
5.1%
S 29
 
4.8%
E 23
 
3.8%
N 23
 
3.8%
Other values (16) 198
32.8%
Lowercase Letter
ValueCountFrequency (%)
e 65
12.8%
a 49
 
9.6%
o 47
 
9.2%
i 41
 
8.1%
n 40
 
7.9%
r 37
 
7.3%
s 30
 
5.9%
u 23
 
4.5%
h 21
 
4.1%
l 21
 
4.1%
Other values (13) 135
26.5%
Other Punctuation
ValueCountFrequency (%)
. 68
41.0%
& 52
31.3%
, 23
 
13.9%
' 8
 
4.8%
· 4
 
2.4%
! 3
 
1.8%
" 2
 
1.2%
# 2
 
1.2%
？ 2
 
1.2%
: 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 87
15.9%
3 87
15.9%
0 85
15.5%
1 67
12.2%
9 52
9.5%
5 48
8.8%
7 34
 
6.2%
8 33
 
6.0%
6 31
 
5.7%
4 24
 
4.4%
Space Separator
ValueCountFrequency (%)
1223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 521
100.0%
Close Punctuation
ValueCountFrequency (%)
) 521
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52330
92.7%
Common 2991
 
5.3%
Latin 1114
 
2.0%
Han 22
 
< 0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1920
 
3.7%
당 1655
 
3.2%
이 1125
 
2.1%
점 1119
 
2.1%
리 838
 
1.6%
대 772
 
1.5%
국 681
 
1.3%
치 657
 
1.3%
동 621
 
1.2%
구 618
 
1.2%
Other values (918) 42324
80.9%
Latin
ValueCountFrequency (%)
B 87
 
7.8%
e 65
 
5.8%
C 52
 
4.7%
a 49
 
4.4%
O 47
 
4.2%
o 47
 
4.2%
H 45
 
4.0%
i 41
 
3.7%
n 40
 
3.6%
r 37
 
3.3%
Other values (40) 604
54.2%
Common
ValueCountFrequency (%)
1223
40.9%
( 521
17.4%
) 521
17.4%
2 87
 
2.9%
3 87
 
2.9%
0 85
 
2.8%
. 68
 
2.3%
1 67
 
2.2%
9 52
 
1.7%
& 52
 
1.7%
Other values (18) 228
 
7.6%
Han
ValueCountFrequency (%)
家 4
18.2%
辛 2
 
9.1%
多 2
 
9.1%
愛 2
 
9.1%
作 1
 
4.5%
李 1
 
4.5%
味 1
 
4.5%
親 1
 
4.5%
人 1
 
4.5%
眞 1
 
4.5%
Other values (6) 6
27.3%
Hiragana
ValueCountFrequency (%)
て 1
25.0%
く 1
25.0%
ご 1
25.0%
ん 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52326
92.7%
ASCII 4096
 
7.3%
CJK 21
 
< 0.1%
None 6
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Hiragana 4
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1920
 
3.7%
당 1655
 
3.2%
이 1125
 
2.1%
점 1119
 
2.1%
리 838
 
1.6%
대 772
 
1.5%
국 681
 
1.3%
치 657
 
1.3%
동 621
 
1.2%
구 618
 
1.2%
Other values (917) 42320
80.9%
ASCII
ValueCountFrequency (%)
1223
29.9%
( 521
12.7%
) 521
12.7%
B 87
 
2.1%
2 87
 
2.1%
3 87
 
2.1%
0 85
 
2.1%
. 68
 
1.7%
1 67
 
1.6%
e 65
 
1.6%
Other values (64) 1285
31.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
CJK
ValueCountFrequency (%)
家 4
19.0%
辛 2
 
9.5%
多 2
 
9.5%
愛 2
 
9.5%
作 1
 
4.8%
味 1
 
4.8%
親 1
 
4.8%
人 1
 
4.8%
眞 1
 
4.8%
光 1
 
4.8%
Other values (5) 5
23.8%
None
ValueCountFrequency (%)
· 4
66.7%
？ 2
33.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎜ 1
100.0%
Hiragana
ValueCountFrequency (%)
て 1
25.0%
く 1
25.0%
ご 1
25.0%
ん 1
25.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 10000
100.0%

Length

2023-12-11T02:36:12.269891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:36:12.481389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 10000
100.0%

업태
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4549 
식육(숯불구이)
1046 
통닭(치킨)
701 
호프/통닭
623 
중국식
472 
Other values (17)
2609 

Length

Max length15
Median length2
Mean length3.5275
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row한식
2nd row호프/통닭
3rd row중국식
4th row통닭(치킨)
5th row중국식

Common Values

ValueCountFrequency (%)
한식 4549
45.5%
식육(숯불구이) 1046
 
10.5%
통닭(치킨) 701
 
7.0%
호프/통닭 623
 
6.2%
중국식 472
 
4.7%
경양식 463
 
4.6%
기타 452
 
4.5%
분식 437
 
4.4%
회집 257
 
2.6%
정종/대포집/소주방 247
 
2.5%
Other values (12) 753
 
7.5%

Length

2023-12-11T02:36:13.140230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4549
45.5%
식육(숯불구이 1046
 
10.5%
통닭(치킨 701
 
7.0%
호프/통닭 623
 
6.2%
중국식 472
 
4.7%
경양식 463
 
4.6%
기타 452
 
4.5%
분식 437
 
4.4%
회집 257
 
2.6%
정종/대포집/소주방 247
 
2.5%
Other values (12) 753
 
7.5%

소재지(도로명)
Text

Distinct9534
Distinct (%)96.1%
Missing83
Missing (%)0.8%
Memory size156.2 KiB
2023-12-11T02:36:13.979881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length58
Mean length27.791772
Min length19

Characters and Unicode

Total characters275611
Distinct characters428
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9197 ?
Unique (%)92.7%

Sample

1st row대구광역시 북구 산격로8길 36, (산격동)
2nd row대구광역시 동구 아양로15길 22, (신암동)
3rd row대구광역시 동구 동부로32길 39, (신천동)
4th row대구광역시 중구 동덕로30길 65, (동인동4가, 지상1층)
5th row대구광역시 달서구 성서동로 355-20, 105동 107호 (이곡동,성서2차화성타운)
ValueCountFrequency (%)
대구광역시 9917
 
18.4%
달서구 2020
 
3.7%
북구 1703
 
3.2%
수성구 1545
 
2.9%
동구 1326
 
2.5%
1층 1268
 
2.3%
서구 901
 
1.7%
중구 880
 
1.6%
남구 774
 
1.4%
달성군 768
 
1.4%
Other values (5462) 32861
60.9%
2023-12-11T02:36:15.249238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44048
 
16.0%
구 20427
 
7.4%
대 12903
 
4.7%
동 12744
 
4.6%
1 11275
 
4.1%
, 10470
 
3.8%
시 10150
 
3.7%
역 10001
 
3.6%
( 9976
 
3.6%
) 9976
 
3.6%
Other values (418) 123641
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 156569
56.8%
Space Separator 44048
 
16.0%
Decimal Number 41859
 
15.2%
Other Punctuation 10504
 
3.8%
Open Punctuation 9976
 
3.6%
Close Punctuation 9976
 
3.6%
Dash Punctuation 2241
 
0.8%
Uppercase Letter 375
 
0.1%
Math Symbol 39
 
< 0.1%
Lowercase Letter 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 20427
 
13.0%
대 12903
 
8.2%
동 12744
 
8.1%
시 10150
 
6.5%
역 10001
 
6.4%
광 9935
 
6.3%
로 9550
 
6.1%
길 5316
 
3.4%
서 3920
 
2.5%
달 3680
 
2.4%
Other values (370) 57943
37.0%
Uppercase Letter
ValueCountFrequency (%)
A 119
31.7%
B 85
22.7%
C 23
 
6.1%
E 21
 
5.6%
T 21
 
5.6%
R 15
 
4.0%
S 14
 
3.7%
O 13
 
3.5%
W 13
 
3.5%
D 9
 
2.4%
Other values (10) 42
 
11.2%
Decimal Number
ValueCountFrequency (%)
1 11275
26.9%
2 6281
15.0%
3 4515
10.8%
5 3473
 
8.3%
4 3374
 
8.1%
0 3124
 
7.5%
6 2917
 
7.0%
7 2519
 
6.0%
8 2209
 
5.3%
9 2172
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 7
29.2%
l 4
16.7%
p 4
16.7%
a 3
12.5%
s 2
 
8.3%
t 2
 
8.3%
h 1
 
4.2%
b 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 10470
99.7%
. 23
 
0.2%
@ 5
 
< 0.1%
/ 4
 
< 0.1%
· 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
44048
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9976
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9976
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2241
100.0%
Math Symbol
ValueCountFrequency (%)
~ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 156569
56.8%
Common 118643
43.0%
Latin 399
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 20427
 
13.0%
대 12903
 
8.2%
동 12744
 
8.1%
시 10150
 
6.5%
역 10001
 
6.4%
광 9935
 
6.3%
로 9550
 
6.1%
길 5316
 
3.4%
서 3920
 
2.5%
달 3680
 
2.4%
Other values (370) 57943
37.0%
Latin
ValueCountFrequency (%)
A 119
29.8%
B 85
21.3%
C 23
 
5.8%
E 21
 
5.3%
T 21
 
5.3%
R 15
 
3.8%
S 14
 
3.5%
O 13
 
3.3%
W 13
 
3.3%
D 9
 
2.3%
Other values (18) 66
16.5%
Common
ValueCountFrequency (%)
44048
37.1%
1 11275
 
9.5%
, 10470
 
8.8%
( 9976
 
8.4%
) 9976
 
8.4%
2 6281
 
5.3%
3 4515
 
3.8%
5 3473
 
2.9%
4 3374
 
2.8%
0 3124
 
2.6%
Other values (10) 12131
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 156569
56.8%
ASCII 119040
43.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44048
37.0%
1 11275
 
9.5%
, 10470
 
8.8%
( 9976
 
8.4%
) 9976
 
8.4%
2 6281
 
5.3%
3 4515
 
3.8%
5 3473
 
2.9%
4 3374
 
2.8%
0 3124
 
2.6%
Other values (37) 12528
 
10.5%
Hangul
ValueCountFrequency (%)
구 20427
 
13.0%
대 12903
 
8.2%
동 12744
 
8.1%
시 10150
 
6.5%
역 10001
 
6.4%
광 9935
 
6.3%
로 9550
 
6.1%
길 5316
 
3.4%
서 3920
 
2.5%
달 3680
 
2.4%
Other values (370) 57943
37.0%
None
ValueCountFrequency (%)
· 2
100.0%

소재지(지번)
Text

Distinct9516
Distinct (%)95.2%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T02:36:16.167907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length50
Mean length24.850785
Min length16

Characters and Unicode

Total characters248483
Distinct characters381
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9096 ?
Unique (%)91.0%

Sample

1st row대구광역시 북구 산격동 1327번지 12호
2nd row대구광역시 동구 신암동 612번지 63호
3rd row대구광역시 동구 신천동 442번지 1호
4th row대구광역시 중구 동인동4가 0259번지 0001호 지상1층
5th row대구광역시 달서구 이곡동 1300번지 1호 성서2차화성타운 105동 107호
ValueCountFrequency (%)
대구광역시 9999
 
18.7%
달서구 2020
 
3.8%
북구 1709
 
3.2%
수성구 1552
 
2.9%
동구 1343
 
2.5%
1호 1115
 
2.1%
서구 901
 
1.7%
중구 880
 
1.6%
달성군 820
 
1.5%
지상1층 818
 
1.5%
Other values (3945) 32266
60.4%
2023-12-11T02:36:17.264633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43458
17.5%
구 19440
 
7.8%
1 13132
 
5.3%
지 11960
 
4.8%
동 11110
 
4.5%
대 11003
 
4.4%
시 10114
 
4.1%
번 10020
 
4.0%
역 10016
 
4.0%
광 10015
 
4.0%
Other values (371) 98215
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146117
58.8%
Decimal Number 55474
 
22.3%
Space Separator 43458
 
17.5%
Open Punctuation 1062
 
0.4%
Close Punctuation 1060
 
0.4%
Other Punctuation 498
 
0.2%
Dash Punctuation 450
 
0.2%
Uppercase Letter 321
 
0.1%
Math Symbol 31
 
< 0.1%
Lowercase Letter 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 19440
13.3%
지 11960
 
8.2%
동 11110
 
7.6%
대 11003
 
7.5%
시 10114
 
6.9%
번 10020
 
6.9%
역 10016
 
6.9%
광 10015
 
6.9%
호 9250
 
6.3%
서 3186
 
2.2%
Other values (328) 40003
27.4%
Uppercase Letter
ValueCountFrequency (%)
A 101
31.5%
B 73
22.7%
T 21
 
6.5%
E 17
 
5.3%
R 16
 
5.0%
C 16
 
5.0%
O 13
 
4.0%
W 13
 
4.0%
S 12
 
3.7%
D 8
 
2.5%
Other values (8) 31
 
9.7%
Decimal Number
ValueCountFrequency (%)
1 13132
23.7%
0 9008
16.2%
2 6651
12.0%
3 5259
9.5%
4 4221
 
7.6%
5 3977
 
7.2%
6 3467
 
6.2%
8 3307
 
6.0%
7 3303
 
6.0%
9 3149
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
45.5%
l 2
 
18.2%
b 2
 
18.2%
a 1
 
9.1%
h 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 443
89.0%
. 46
 
9.2%
@ 5
 
1.0%
/ 4
 
0.8%
Space Separator
ValueCountFrequency (%)
43458
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1062
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1060
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 450
100.0%
Math Symbol
ValueCountFrequency (%)
~ 31
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146117
58.8%
Common 102034
41.1%
Latin 332
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 19440
13.3%
지 11960
 
8.2%
동 11110
 
7.6%
대 11003
 
7.5%
시 10114
 
6.9%
번 10020
 
6.9%
역 10016
 
6.9%
광 10015
 
6.9%
호 9250
 
6.3%
서 3186
 
2.2%
Other values (328) 40003
27.4%
Latin
ValueCountFrequency (%)
A 101
30.4%
B 73
22.0%
T 21
 
6.3%
E 17
 
5.1%
R 16
 
4.8%
C 16
 
4.8%
O 13
 
3.9%
W 13
 
3.9%
S 12
 
3.6%
D 8
 
2.4%
Other values (13) 42
12.7%
Common
ValueCountFrequency (%)
43458
42.6%
1 13132
 
12.9%
0 9008
 
8.8%
2 6651
 
6.5%
3 5259
 
5.2%
4 4221
 
4.1%
5 3977
 
3.9%
6 3467
 
3.4%
8 3307
 
3.2%
7 3303
 
3.2%
Other values (10) 6251
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146117
58.8%
ASCII 102366
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43458
42.5%
1 13132
 
12.8%
0 9008
 
8.8%
2 6651
 
6.5%
3 5259
 
5.1%
4 4221
 
4.1%
5 3977
 
3.9%
6 3467
 
3.4%
8 3307
 
3.2%
7 3303
 
3.2%
Other values (33) 6583
 
6.4%
Hangul
ValueCountFrequency (%)
구 19440
13.3%
지 11960
 
8.2%
동 11110
 
7.6%
대 11003
 
7.5%
시 10114
 
6.9%
번 10020
 
6.9%
역 10016
 
6.9%
광 10015
 
6.9%
호 9250
 
6.3%
서 3186
 
2.2%
Other values (328) 40003
27.4%

전화번호
Text

MISSING 

Distinct3927
Distinct (%)98.9%
Missing6031
Missing (%)60.3%
Memory size156.2 KiB
2023-12-11T02:36:17.815650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.044344
Min length11

Characters and Unicode

Total characters47804
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

Unique3898 ?
Unique (%)98.2%

Sample

1st row053-958-5991
2nd row053-581-8185
3rd row053-761-6990
4th row053-956-3537
5th row070-4319-2991
ValueCountFrequency (%)
053-620-0001 12
 
0.3%
053-292-8000 3
 
0.1%
053-313-2315 3
 
0.1%
053-644-6656 3
 
0.1%
053-258-3710 2
 
0.1%
053-555-1165 2
 
0.1%
053-522-8972 2
 
0.1%
053-581-5134 2
 
0.1%
053-586-3956 2
 
0.1%
053-962-9882 2
 
0.1%
Other values (3917) 3936
99.2%
2023-12-11T02:36:18.683961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7938
16.6%
5 7927
16.6%
3 6958
14.6%
0 6169
12.9%
6 3413
7.1%
2 3372
7.1%
9 2824
 
5.9%
8 2507
 
5.2%
1 2296
 
4.8%
7 2289
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39866
83.4%
Dash Punctuation 7938
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7927
19.9%
3 6958
17.5%
0 6169
15.5%
6 3413
8.6%
2 3372
8.5%
9 2824
 
7.1%
8 2507
 
6.3%
1 2296
 
5.8%
7 2289
 
5.7%
4 2111
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 7938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47804
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7938
16.6%
5 7927
16.6%
3 6958
14.6%
0 6169
12.9%
6 3413
7.1%
2 3372
7.1%
9 2824
 
5.9%
8 2507
 
5.2%
1 2296
 
4.8%
7 2289
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7938
16.6%
5 7927
16.6%
3 6958
14.6%
0 6169
12.9%
6 3413
7.1%
2 3372
7.1%
9 2824
 
5.9%
8 2507
 
5.2%
1 2296
 
4.8%
7 2289
 
4.8%

Missing values

2023-12-11T02:36:09.553668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:36:09.864945image/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.
2023-12-11T02:36:10.177223image/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

업소명업종업태소재지(도로명)소재지(지번)전화번호
10768더로마일반음식점한식대구광역시 북구 산격로8길 36, (산격동)대구광역시 북구 산격동 1327번지 12호<NA>
6196옛날막창식당일반음식점호프/통닭대구광역시 동구 아양로15길 22, (신암동)대구광역시 동구 신암동 612번지 63호053-958-5991
6776중국관식당일반음식점중국식대구광역시 동구 동부로32길 39, (신천동)대구광역시 동구 신천동 442번지 1호<NA>
21098옛날통닭일반음식점통닭(치킨)대구광역시 중구 동덕로30길 65, (동인동4가, 지상1층)대구광역시 중구 동인동4가 0259번지 0001호 지상1층<NA>
26635짬뽕컴일반음식점중국식대구광역시 달서구 성서동로 355-20, 105동 107호 (이곡동,성서2차화성타운)대구광역시 달서구 이곡동 1300번지 1호 성서2차화성타운 105동 107호053-581-8185
19342복받는집일반음식점한식대구광역시 수성구 동대구로20길 50, (지산동)대구광역시 수성구 지산동 963번지 3호053-761-6990
1241아울일반음식점한식대구광역시 남구 현충로 13, (대명동)대구광역시 남구 대명동 516번지 1호<NA>
18133700비어대구본점일반음식점경양식대구광역시 수성구 들안로 341, (수성동4가)대구광역시 수성구 수성동4가 1022번지 11호<NA>
16040엄마손국밥식당일반음식점한식대구광역시 수성구 동원로 14, (만촌동)대구광역시 수성구 만촌동 1022번지 13호<NA>
14864미주구리회이야기일반음식점회집대구광역시 서구 국채보상로 266, (평리동)대구광역시 서구 평리동 1217번지 2호<NA>
업소명업종업태소재지(도로명)소재지(지번)전화번호
8290엉클프라이일반음식점일식대구광역시 북구 옥산로 106-9, 1층 (고성동3가)대구광역시 북구 고성동3가 12번지 1호<NA>
26744장강일반음식점중국식대구광역시 달서구 달구벌대로262길 12, 지상1층 (이곡동)대구광역시 달서구 이곡동 798번지 (지상1층)<NA>
15194구구단 치킨 호프일반음식점통닭(치킨)대구광역시 서구 국채보상로 316, 201동 103호 (평리동,평리롯데캐슬상가)대구광역시 서구 평리동 1676번지 201 평리롯데캐슬상가-103<NA>
20907명성김밥일반음식점김밥(도시락)대구광역시 중구 국채보상로131길 55, (동인동1가, 시티상가 10호)대구광역시 중구 동인동1가 0033번지 0001호<NA>
18752우리소가든일반음식점식육(숯불구이)대구광역시 수성구 청수로 61, (중동,,8)대구광역시 수성구 중동 187번지 5호 ,8053-765-0151
17451속초이모네찜일반음식점한식대구광역시 수성구 동대구로59길 7, (범어동)대구광역시 수성구 범어동 588번지 20호<NA>
18526신통치킨일반음식점통닭(치킨)대구광역시 수성구 고산로18길 21, (신매동)대구광역시 수성구 신매동 568번지 6호<NA>
2207무림장식당일반음식점한식대구광역시 달성군 가창면 우록길 87대구광역시 달성군 가창면 삼산리 983번지<NA>
769소문난돼지국밥일반음식점식육(숯불구이)대구광역시 남구 명덕로 218, (대명동)대구광역시 남구 대명동 2033번지 57호<NA>
22815칭구짬뽕일반음식점한식대구광역시 달서구 도원로 45, 440동 107호 (도원동,대곡강산타운)대구광역시 달서구 도원동 1443번지 대곡강산타운 440동 107호053-631-3222