Overview

Dataset statistics

Number of variables8
Number of observations5509
Missing cells2880
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory349.8 KiB
Average record size in memory65.0 B

Variable types

Categorical2
DateTime1
Text4
Numeric1

Dataset

Description남동구 일반음식점 현황에 대한 데이터로 업종명, 인허가일자, 업소명, 소재지(도로명주소), 소재지(지번주소), 소재지전화번호, 업태명 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3043966&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
소재지전화 has 2865 (52.0%) missing valuesMissing

Reproduction

Analysis started2024-01-28 12:47:03.038977
Analysis finished2024-01-28 12:47:04.421295
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
일반음식점
5509 

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 5509
100.0%

Length

2024-01-28T21:47:04.468270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:47:04.533250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 5509
100.0%

인허가일자
Date

Distinct3527
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
Minimum1974-07-05 00:00:00
Maximum2023-05-11 00:00:00
2024-01-28T21:47:04.608216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:47:04.715302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct5195
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
2024-01-28T21:47:04.969959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length6.5144309
Min length1

Characters and Unicode

Total characters35888
Distinct characters966
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4976 ?
Unique (%)90.3%

Sample

1st row소라식당
2nd row아하식당
3rd row형제식당
4th row충청도식당
5th row여수오동도
ValueCountFrequency (%)
구월점 63
 
1.0%
인천논현점 59
 
0.9%
인천구월점 26
 
0.4%
김밥천국 25
 
0.4%
만수점 24
 
0.4%
서창점 21
 
0.3%
인천시청점 14
 
0.2%
간석점 14
 
0.2%
논현점 13
 
0.2%
인천서창점 13
 
0.2%
Other values (5431) 6075
95.7%
2024-01-28T21:47:05.322668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1227
 
3.4%
838
 
2.3%
이 693
 
1.9%
구 613
 
1.7%
천 527
 
1.5%
인 504
 
1.4%
리 479
 
1.3%
수 438
 
1.2%
( 420
 
1.2%
) 420
 
1.2%
Other values (956) 29729
82.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32259
89.9%
Space Separator 838
 
2.3%
Lowercase Letter 651
 
1.8%
Uppercase Letter 633
 
1.8%
Decimal Number 500
 
1.4%
Open Punctuation 420
 
1.2%
Close Punctuation 420
 
1.2%
Other Punctuation 160
 
0.4%
Dash Punctuation 3
 
< 0.1%
Letter Number 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1227
 
3.8%
이 693
 
2.1%
구 613
 
1.9%
천 527
 
1.6%
인 504
 
1.6%
리 479
 
1.5%
수 438
 
1.4%
스 398
 
1.2%
치 387
 
1.2%
월 368
 
1.1%
Other values (877) 26625
82.5%
Lowercase Letter
ValueCountFrequency (%)
e 109
16.7%
o 64
 
9.8%
a 59
 
9.1%
r 37
 
5.7%
n 36
 
5.5%
i 34
 
5.2%
f 33
 
5.1%
l 32
 
4.9%
t 32
 
4.9%
s 31
 
4.8%
Other values (16) 184
28.3%
Uppercase Letter
ValueCountFrequency (%)
B 58
 
9.2%
C 55
 
8.7%
O 54
 
8.5%
E 45
 
7.1%
A 43
 
6.8%
H 36
 
5.7%
S 35
 
5.5%
R 30
 
4.7%
T 29
 
4.6%
I 27
 
4.3%
Other values (16) 221
34.9%
Decimal Number
ValueCountFrequency (%)
1 101
20.2%
0 79
15.8%
2 58
11.6%
3 57
11.4%
8 43
8.6%
9 40
 
8.0%
4 39
 
7.8%
7 30
 
6.0%
5 29
 
5.8%
6 24
 
4.8%
Other Punctuation
ValueCountFrequency (%)
& 84
52.5%
. 29
 
18.1%
, 22
 
13.8%
' 9
 
5.6%
· 5
 
3.1%
/ 4
 
2.5%
! 3
 
1.9%
? 2
 
1.2%
＆ 1
 
0.6%
# 1
 
0.6%
Space Separator
ValueCountFrequency (%)
838
100.0%
Open Punctuation
ValueCountFrequency (%)
( 420
100.0%
Close Punctuation
ValueCountFrequency (%)
) 420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32235
89.8%
Common 2343
 
6.5%
Latin 1286
 
3.6%
Han 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1227
 
3.8%
이 693
 
2.1%
구 613
 
1.9%
천 527
 
1.6%
인 504
 
1.6%
리 479
 
1.5%
수 438
 
1.4%
스 398
 
1.2%
치 387
 
1.2%
월 368
 
1.1%
Other values (859) 26601
82.5%
Latin
ValueCountFrequency (%)
e 109
 
8.5%
o 64
 
5.0%
a 59
 
4.6%
B 58
 
4.5%
C 55
 
4.3%
O 54
 
4.2%
E 45
 
3.5%
A 43
 
3.3%
r 37
 
2.9%
H 36
 
2.8%
Other values (43) 726
56.5%
Common
ValueCountFrequency (%)
838
35.8%
( 420
17.9%
) 420
17.9%
1 101
 
4.3%
& 84
 
3.6%
0 79
 
3.4%
2 58
 
2.5%
3 57
 
2.4%
8 43
 
1.8%
9 40
 
1.7%
Other values (16) 203
 
8.7%
Han
ValueCountFrequency (%)
辛 3
 
12.5%
好 3
 
12.5%
時 2
 
8.3%
味 2
 
8.3%
香 1
 
4.2%
長 1
 
4.2%
屋 1
 
4.2%
雲 1
 
4.2%
集 1
 
4.2%
禧 1
 
4.2%
Other values (8) 8
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32233
89.8%
ASCII 3621
 
10.1%
CJK 24
 
0.1%
None 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1227
 
3.8%
이 693
 
2.1%
구 613
 
1.9%
천 527
 
1.6%
인 504
 
1.6%
리 479
 
1.5%
수 438
 
1.4%
스 398
 
1.2%
치 387
 
1.2%
월 368
 
1.1%
Other values (858) 26599
82.5%
ASCII
ValueCountFrequency (%)
838
23.1%
( 420
 
11.6%
) 420
 
11.6%
e 109
 
3.0%
1 101
 
2.8%
& 84
 
2.3%
0 79
 
2.2%
o 64
 
1.8%
a 59
 
1.6%
B 58
 
1.6%
Other values (66) 1389
38.4%
None
ValueCountFrequency (%)
· 5
83.3%
＆ 1
 
16.7%
CJK
ValueCountFrequency (%)
辛 3
 
12.5%
好 3
 
12.5%
時 2
 
8.3%
味 2
 
8.3%
香 1
 
4.2%
長 1
 
4.2%
屋 1
 
4.2%
雲 1
 
4.2%
集 1
 
4.2%
禧 1
 
4.2%
Other values (8) 8
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅊ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

소재지(도로명)
Text

Distinct5259
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
2024-01-28T21:47:05.580166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length60
Mean length36.239063
Min length21

Characters and Unicode

Total characters199641
Distinct characters431
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5052 ?
Unique (%)91.7%

Sample

1st row인천광역시 남동구 장도로 86-8 (논현동)
2nd row인천광역시 남동구 장자로51번길 22, 103,104,105호 (장수동)
3rd row인천광역시 남동구 포구로 2-58 (논현동)
4th row인천광역시 남동구 장도로 73-1 (논현동)
5th row인천광역시 남동구 장도로 86-5, 1층 (논현동)
ValueCountFrequency (%)
인천광역시 5509
 
14.3%
남동구 5509
 
14.3%
1층 3413
 
8.9%
구월동 1729
 
4.5%
일부호 1062
 
2.8%
논현동 915
 
2.4%
만수동 869
 
2.3%
간석동 854
 
2.2%
2층 500
 
1.3%
서창동 296
 
0.8%
Other values (3427) 17844
46.3%
2024-01-28T21:47:05.957281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33006
 
16.5%
동 11799
 
5.9%
1 11446
 
5.7%
구 8334
 
4.2%
남 6630
 
3.3%
, 6606
 
3.3%
인 6196
 
3.1%
( 5998
 
3.0%
) 5997
 
3.0%
로 5826
 
2.9%
Other values (421) 97803
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111771
56.0%
Decimal Number 34520
 
17.3%
Space Separator 33006
 
16.5%
Other Punctuation 6618
 
3.3%
Open Punctuation 5998
 
3.0%
Close Punctuation 5997
 
3.0%
Dash Punctuation 1064
 
0.5%
Uppercase Letter 521
 
0.3%
Math Symbol 126
 
0.1%
Lowercase Letter 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11799
 
10.6%
구 8334
 
7.5%
남 6630
 
5.9%
인 6196
 
5.5%
로 5826
 
5.2%
역 5716
 
5.1%
천 5713
 
5.1%
시 5710
 
5.1%
광 5552
 
5.0%
층 4873
 
4.4%
Other values (370) 45422
40.6%
Uppercase Letter
ValueCountFrequency (%)
B 100
19.2%
A 95
18.2%
C 45
8.6%
V 42
8.1%
P 39
 
7.5%
I 33
 
6.3%
L 27
 
5.2%
S 22
 
4.2%
D 17
 
3.3%
T 14
 
2.7%
Other values (12) 87
16.7%
Decimal Number
ValueCountFrequency (%)
1 11446
33.2%
2 4660
13.5%
0 3306
 
9.6%
3 2961
 
8.6%
4 2348
 
6.8%
5 2268
 
6.6%
6 2261
 
6.5%
7 1862
 
5.4%
8 1774
 
5.1%
9 1634
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
s 6
33.3%
l 3
16.7%
a 3
16.7%
b 1
 
5.6%
c 1
 
5.6%
o 1
 
5.6%
r 1
 
5.6%
e 1
 
5.6%
w 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 6606
99.8%
. 5
 
0.1%
& 4
 
0.1%
/ 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
33006
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5998
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5997
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1064
100.0%
Math Symbol
ValueCountFrequency (%)
~ 126
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111771
56.0%
Common 87329
43.7%
Latin 541
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11799
 
10.6%
구 8334
 
7.5%
남 6630
 
5.9%
인 6196
 
5.5%
로 5826
 
5.2%
역 5716
 
5.1%
천 5713
 
5.1%
시 5710
 
5.1%
광 5552
 
5.0%
층 4873
 
4.4%
Other values (370) 45422
40.6%
Latin
ValueCountFrequency (%)
B 100
18.5%
A 95
17.6%
C 45
8.3%
V 42
 
7.8%
P 39
 
7.2%
I 33
 
6.1%
L 27
 
5.0%
S 22
 
4.1%
D 17
 
3.1%
T 14
 
2.6%
Other values (22) 107
19.8%
Common
ValueCountFrequency (%)
33006
37.8%
1 11446
 
13.1%
, 6606
 
7.6%
( 5998
 
6.9%
) 5997
 
6.9%
2 4660
 
5.3%
0 3306
 
3.8%
3 2961
 
3.4%
4 2348
 
2.7%
5 2268
 
2.6%
Other values (9) 8733
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111771
56.0%
ASCII 87868
44.0%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33006
37.6%
1 11446
 
13.0%
, 6606
 
7.5%
( 5998
 
6.8%
) 5997
 
6.8%
2 4660
 
5.3%
0 3306
 
3.8%
3 2961
 
3.4%
4 2348
 
2.7%
5 2268
 
2.6%
Other values (40) 9272
 
10.6%
Hangul
ValueCountFrequency (%)
동 11799
 
10.6%
구 8334
 
7.5%
남 6630
 
5.9%
인 6196
 
5.5%
로 5826
 
5.2%
역 5716
 
5.1%
천 5713
 
5.1%
시 5710
 
5.1%
광 5552
 
5.0%
층 4873
 
4.4%
Other values (370) 45422
40.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

소재지(지번)
Text

Distinct5246
Distinct (%)95.2%
Missing1
Missing (%)< 0.1%
Memory size43.2 KiB
2024-01-28T21:47:06.188107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length54
Mean length29.516885
Min length17

Characters and Unicode

Total characters162579
Distinct characters442
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5044 ?
Unique (%)91.6%

Sample

1st row인천광역시 남동구 논현동 111-92
2nd row인천광역시 남동구 장수동 775-3 103,104,105호
3rd row인천광역시 남동구 논현동 111-66
4th row인천광역시 남동구 논현동 111-144
5th row인천광역시 남동구 논현동 111-82 1층
ValueCountFrequency (%)
인천광역시 5508
17.4%
남동구 5508
17.4%
구월동 1897
 
6.0%
1층 1567
 
4.9%
만수동 994
 
3.1%
논현동 967
 
3.1%
간석동 957
 
3.0%
1층일부 901
 
2.8%
일부 340
 
1.1%
서창동 301
 
1.0%
Other values (5123) 12730
40.2%
2024-01-28T21:47:06.535249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31058
19.1%
1 12785
 
7.9%
동 11375
 
7.0%
구 7568
 
4.7%
시 5687
 
3.5%
남 5681
 
3.5%
인 5642
 
3.5%
광 5551
 
3.4%
천 5545
 
3.4%
역 5510
 
3.4%
Other values (432) 66177
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85852
52.8%
Decimal Number 37684
23.2%
Space Separator 31058
 
19.1%
Dash Punctuation 4932
 
3.0%
Other Punctuation 908
 
0.6%
Open Punctuation 770
 
0.5%
Close Punctuation 769
 
0.5%
Uppercase Letter 499
 
0.3%
Math Symbol 91
 
0.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11375
13.2%
구 7568
 
8.8%
시 5687
 
6.6%
남 5681
 
6.6%
인 5642
 
6.6%
광 5551
 
6.5%
천 5545
 
6.5%
역 5510
 
6.4%
층 3846
 
4.5%
호 2779
 
3.2%
Other values (381) 26668
31.1%
Uppercase Letter
ValueCountFrequency (%)
A 83
16.6%
B 79
15.8%
C 43
8.6%
V 42
8.4%
P 39
7.8%
I 33
 
6.6%
L 28
 
5.6%
S 23
 
4.6%
D 19
 
3.8%
R 17
 
3.4%
Other values (12) 93
18.6%
Decimal Number
ValueCountFrequency (%)
1 12785
33.9%
2 4338
 
11.5%
0 3644
 
9.7%
3 3270
 
8.7%
6 2839
 
7.5%
4 2815
 
7.5%
7 2314
 
6.1%
5 2208
 
5.9%
9 1901
 
5.0%
8 1570
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
s 4
28.6%
l 2
14.3%
a 2
14.3%
b 1
 
7.1%
r 1
 
7.1%
e 1
 
7.1%
w 1
 
7.1%
o 1
 
7.1%
c 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 891
98.1%
. 9
 
1.0%
& 5
 
0.6%
/ 3
 
0.3%
Space Separator
ValueCountFrequency (%)
31058
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4932
100.0%
Open Punctuation
ValueCountFrequency (%)
( 770
100.0%
Close Punctuation
ValueCountFrequency (%)
) 769
100.0%
Math Symbol
ValueCountFrequency (%)
~ 91
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85852
52.8%
Common 76212
46.9%
Latin 515
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11375
13.2%
구 7568
 
8.8%
시 5687
 
6.6%
남 5681
 
6.6%
인 5642
 
6.6%
광 5551
 
6.5%
천 5545
 
6.5%
역 5510
 
6.4%
층 3846
 
4.5%
호 2779
 
3.2%
Other values (381) 26668
31.1%
Latin
ValueCountFrequency (%)
A 83
16.1%
B 79
15.3%
C 43
 
8.3%
V 42
 
8.2%
P 39
 
7.6%
I 33
 
6.4%
L 28
 
5.4%
S 23
 
4.5%
D 19
 
3.7%
R 17
 
3.3%
Other values (22) 109
21.2%
Common
ValueCountFrequency (%)
31058
40.8%
1 12785
16.8%
- 4932
 
6.5%
2 4338
 
5.7%
0 3644
 
4.8%
3 3270
 
4.3%
6 2839
 
3.7%
4 2815
 
3.7%
7 2314
 
3.0%
5 2208
 
2.9%
Other values (9) 6009
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85852
52.8%
ASCII 76725
47.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31058
40.5%
1 12785
16.7%
- 4932
 
6.4%
2 4338
 
5.7%
0 3644
 
4.7%
3 3270
 
4.3%
6 2839
 
3.7%
4 2815
 
3.7%
7 2314
 
3.0%
5 2208
 
2.9%
Other values (40) 6522
 
8.5%
Hangul
ValueCountFrequency (%)
동 11375
13.2%
구 7568
 
8.8%
시 5687
 
6.6%
남 5681
 
6.6%
인 5642
 
6.6%
광 5551
 
6.5%
천 5545
 
6.5%
역 5510
 
6.4%
층 3846
 
4.5%
호 2779
 
3.2%
Other values (381) 26668
31.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

영업장면적(건물내부+건물외부)
Real number (ℝ)

Distinct3739
Distinct (%)68.0%
Missing14
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean84.187964
Minimum3.65
Maximum1603.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.5 KiB
2024-01-28T21:47:06.659860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.65
5-th percentile23.1
Q138
median57.94
Q398.35
95-th percentile220.117
Maximum1603.28
Range1599.63
Interquartile range (IQR)60.35

Descriptive statistics

Standard deviation91.434233
Coefficient of variation (CV)1.0860725
Kurtosis60.048692
Mean84.187964
Median Absolute Deviation (MAD)25.24
Skewness5.9499708
Sum462612.86
Variance8360.219
MonotonicityNot monotonic
2024-01-28T21:47:06.763557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 25
 
0.5%
45.0 24
 
0.4%
60.0 21
 
0.4%
50.0 20
 
0.4%
48.0 18
 
0.3%
35.0 17
 
0.3%
40.0 16
 
0.3%
42.0 14
 
0.3%
13.2 14
 
0.3%
65.0 13
 
0.2%
Other values (3729) 5313
96.4%
(Missing) 14
 
0.3%
ValueCountFrequency (%)
3.65 1
 
< 0.1%
5.0 1
 
< 0.1%
5.27 2
 
< 0.1%
6.08 1
 
< 0.1%
6.42 1
 
< 0.1%
6.6 7
0.1%
7.92 1
 
< 0.1%
8.0 1
 
< 0.1%
8.07 1
 
< 0.1%
9.24 1
 
< 0.1%
ValueCountFrequency (%)
1603.28 1
< 0.1%
1588.7 1
< 0.1%
1330.3 1
< 0.1%
1087.78 1
< 0.1%
1081.5 1
< 0.1%
1014.02 1
< 0.1%
1010.78 1
< 0.1%
1008.75 1
< 0.1%
956.48 1
< 0.1%
948.28 1
< 0.1%

소재지전화
Text

MISSING 

Distinct2602
Distinct (%)98.4%
Missing2865
Missing (%)52.0%
Memory size43.2 KiB
2024-01-28T21:47:06.942290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.013616
Min length9

Characters and Unicode

Total characters31764
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

Unique2561 ?
Unique (%)96.9%

Sample

1st row032-432-7879
2nd row032-441-2864
3rd row032-446-9933
4th row032-866-1273
5th row032-428-0425
ValueCountFrequency (%)
032-463-8292 3
 
0.1%
032-454-8363 2
 
0.1%
02-822-8982 2
 
0.1%
032-446-3447 2
 
0.1%
032-446-3633 2
 
0.1%
032-461-2009 2
 
0.1%
032-421-7782 2
 
0.1%
032-467-7787 2
 
0.1%
032-422-6446 2
 
0.1%
032-421-0888 2
 
0.1%
Other values (2592) 2623
99.2%
2024-01-28T21:47:07.234664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5283
16.6%
2 4972
15.7%
3 4484
14.1%
0 3960
12.5%
4 3657
11.5%
6 2101
 
6.6%
7 1577
 
5.0%
1 1497
 
4.7%
8 1484
 
4.7%
5 1375
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26481
83.4%
Dash Punctuation 5283
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4972
18.8%
3 4484
16.9%
0 3960
15.0%
4 3657
13.8%
6 2101
7.9%
7 1577
 
6.0%
1 1497
 
5.7%
8 1484
 
5.6%
5 1375
 
5.2%
9 1374
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 5283
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31764
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5283
16.6%
2 4972
15.7%
3 4484
14.1%
0 3960
12.5%
4 3657
11.5%
6 2101
 
6.6%
7 1577
 
5.0%
1 1497
 
4.7%
8 1484
 
4.7%
5 1375
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31764
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5283
16.6%
2 4972
15.7%
3 4484
14.1%
0 3960
12.5%
4 3657
11.5%
6 2101
 
6.6%
7 1577
 
5.0%
1 1497
 
4.7%
8 1484
 
4.7%
5 1375
 
4.3%

업태명
Categorical

Distinct25
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size43.2 KiB
한식
1976 
기타
1049 
호프/통닭
641 
식육(숯불구이)
403 
분식
289 
Other values (20)
1151 

Length

Max length15
Median length2
Mean length3.459067
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row횟집
2nd row한식
3rd row중국식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 1976
35.9%
기타 1049
19.0%
호프/통닭 641
 
11.6%
식육(숯불구이) 403
 
7.3%
분식 289
 
5.2%
정종/대포집/소주방 264
 
4.8%
중국식 214
 
3.9%
통닭(치킨) 133
 
2.4%
경양식 131
 
2.4%
일식 110
 
2.0%
Other values (15) 299
 
5.4%

Length

2024-01-28T21:47:07.349671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 1976
35.9%
기타 1049
19.0%
호프/통닭 641
 
11.6%
식육(숯불구이 403
 
7.3%
분식 289
 
5.2%
정종/대포집/소주방 264
 
4.8%
중국식 214
 
3.9%
통닭(치킨 133
 
2.4%
경양식 131
 
2.4%
일식 110
 
2.0%
Other values (15) 299
 
5.4%

Interactions

2024-01-28T21:47:04.072000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:47:07.426414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적(건물내부+건물외부)업태명
영업장면적(건물내부+건물외부)1.0000.000
업태명0.0001.000
2024-01-28T21:47:07.509122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적(건물내부+건물외부)업태명
영업장면적(건물내부+건물외부)1.0000.000
업태명0.0001.000

Missing values

2024-01-28T21:47:04.181906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:47:04.280614image/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.
2024-01-28T21:47:04.370435image/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

업종명인허가일자업소명소재지(도로명)소재지(지번)영업장면적(건물내부+건물외부)소재지전화업태명
0일반음식점1974-07-05소라식당인천광역시 남동구 장도로 86-8 (논현동)인천광역시 남동구 논현동 111-92<NA><NA>횟집
1일반음식점1978-02-23아하식당인천광역시 남동구 장자로51번길 22, 103,104,105호 (장수동)인천광역시 남동구 장수동 775-3 103,104,105호132.0032-432-7879한식
2일반음식점1979-09-14형제식당인천광역시 남동구 포구로 2-58 (논현동)인천광역시 남동구 논현동 111-66<NA>032-441-2864중국식
3일반음식점1980-01-01충청도식당인천광역시 남동구 장도로 73-1 (논현동)인천광역시 남동구 논현동 111-144<NA><NA>한식
4일반음식점1980-01-01여수오동도인천광역시 남동구 장도로 86-5, 1층 (논현동)인천광역시 남동구 논현동 111-82 1층<NA>032-446-9933한식
5일반음식점1980-01-01중앙식당인천광역시 남동구 장도로 81-1 (논현동)인천광역시 남동구 논현동 111-76<NA><NA>통닭(치킨)
6일반음식점1980-02-26구운집(雲集)인천광역시 남동구 석정로477번길 4-3 (간석동)인천광역시 남동구 간석동 616-5326.27032-866-1273한식
7일반음식점1980-07-07우일각식당인천광역시 남동구 만수로27번길 4-9 (만수동)인천광역시 남동구 만수동 868-38<NA><NA>한식
8일반음식점1980-09-03병천진순대인천광역시 남동구 남동대로 895 (간석동)인천광역시 남동구 간석동 283-1376.32032-428-0425한식
9일반음식점1981-05-29홍교동짬뽕인천광역시 남동구 남동대로 881, 1층 일부호 (간석동)인천광역시 남동구 간석동 284-2 1층일부104.14032-425-0331일식
업종명인허가일자업소명소재지(도로명)소재지(지번)영업장면적(건물내부+건물외부)소재지전화업태명
5499일반음식점2023-05-03다조은식당인천광역시 남동구 석정로580번길 8, 1층 (간석동)인천광역시 남동구 간석동 580-9 1층 전체77.55<NA>기타
5500일반음식점2023-05-03한솥도시락 인천논현 라피에스타점인천광역시 남동구 논고개로 61, 라피에스타 1층 117호 (논현동)인천광역시 남동구 논현동 747-1 라피에스타 1층 117호52.07<NA>한식
5501일반음식점2023-05-03제주수산 생참치 활고등어인천광역시 남동구 포구로 10, 2층 202호 (논현동)인천광역시 남동구 논현동 111-183 2층 202호56.61<NA>식육(숯불구이)
5502일반음식점2023-05-03곱창에 진심인 여자인천광역시 남동구 남동대로799번길 34, C동 1층 109호 (구월동, 신영구월지웰시티푸르지오)인천광역시 남동구 구월동 1608 신영구월지웰시티푸르지오 C동 109호19.68<NA>횟집
5503일반음식점2023-05-04전설의짬뽕인천광역시 남동구 구월로 341, 1층 일부호 (만수동)인천광역시 남동구 만수동 886-35 1층 일부108.42<NA>탕류(보신용)
5504일반음식점2023-05-08공릉동 원조 멸치국수 소래포구점인천광역시 남동구 소래역로30번길 18, 제일타워 1층 103호 (논현동)인천광역시 남동구 논현동 678-2 제일타워 1층 103호50.8<NA>일식
5505일반음식점2023-05-08시쿠은제마인천광역시 남동구 구월로115번길 66, 1층, 2층 일부호 (간석동)인천광역시 남동구 간석동 459-14 1층, 2층 일부172.5<NA>한식
5506일반음식점2023-05-09달쫀(인천논현점)인천광역시 남동구 논고개로 81, 우리들메디타워 1층 113호 (논현동)인천광역시 남동구 논현동 746-3 우리들메디타워 1층 113호34.04<NA>기타
5507일반음식점2023-05-10고기미담 구월점인천광역시 남동구 인주대로763번길 58-1, 1층 일부호 (구월동)인천광역시 남동구 구월동 1302-6 1층 일부호61.02<NA>한식
5508일반음식점2023-05-11미스김라일락인천광역시 남동구 구월로372번길 83-1, 1층 (만수동)인천광역시 남동구 만수동 976-1 1층 전체96.64<NA>기타