Overview

Dataset statistics

Number of variables4
Number of observations3126
Missing cells976
Missing cells (%)7.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.8 KiB
Average record size in memory32.0 B

Variable types

Text3
DateTime1

Dataset

Description인천광역시 중구 소재 일반음식점에 관한 정보입니다.파일명 인천광역시 중구 일반음식전현황내용 업소명, 주소, 전화번호 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15038716&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 976 (31.2%) missing valuesMissing

Reproduction

Analysis started2024-01-28 06:03:28.045671
Analysis finished2024-01-28 06:03:28.917616
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct3065
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size24.6 KiB
2024-01-28T15:03:29.134849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length7.2284069
Min length1

Characters and Unicode

Total characters22596
Distinct characters886
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

Unique3018 ?
Unique (%)96.5%

Sample

1st row평양옥
2nd row대성불고기
3rd row다복집
4th row파라다이스호텔인천오림포스
5th row맛고을
ValueCountFrequency (%)
영종하늘도시점 77
 
1.7%
운서점 57
 
1.3%
하늘도시점 55
 
1.2%
영종점 35
 
0.8%
영종도점 26
 
0.6%
카페 20
 
0.4%
푸드엠파이어 18
 
0.4%
인천공항점 18
 
0.4%
운서역점 16
 
0.4%
신포점 14
 
0.3%
Other values (3500) 4118
92.5%
2024-01-28T15:03:29.617406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1330
 
5.9%
점 661
 
2.9%
이 435
 
1.9%
도 357
 
1.6%
식 317
 
1.4%
스 304
 
1.3%
) 298
 
1.3%
( 297
 
1.3%
영 287
 
1.3%
시 280
 
1.2%
Other values (876) 18030
79.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19000
84.1%
Space Separator 1330
 
5.9%
Uppercase Letter 632
 
2.8%
Lowercase Letter 602
 
2.7%
Decimal Number 329
 
1.5%
Close Punctuation 300
 
1.3%
Open Punctuation 299
 
1.3%
Other Punctuation 86
 
0.4%
Dash Punctuation 14
 
0.1%
Math Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 661
 
3.5%
이 435
 
2.3%
도 357
 
1.9%
식 317
 
1.7%
스 304
 
1.6%
영 287
 
1.5%
시 280
 
1.5%
종 275
 
1.4%
당 260
 
1.4%
하 243
 
1.3%
Other values (798) 15581
82.0%
Uppercase Letter
ValueCountFrequency (%)
C 57
 
9.0%
O 56
 
8.9%
B 54
 
8.5%
E 50
 
7.9%
A 41
 
6.5%
T 35
 
5.5%
P 31
 
4.9%
R 28
 
4.4%
F 28
 
4.4%
N 26
 
4.1%
Other values (16) 226
35.8%
Lowercase Letter
ValueCountFrequency (%)
e 93
15.4%
a 74
12.3%
o 45
 
7.5%
n 42
 
7.0%
r 38
 
6.3%
t 32
 
5.3%
s 31
 
5.1%
i 31
 
5.1%
u 27
 
4.5%
l 25
 
4.2%
Other values (15) 164
27.2%
Decimal Number
ValueCountFrequency (%)
2 97
29.5%
1 59
17.9%
3 33
 
10.0%
9 30
 
9.1%
8 22
 
6.7%
0 21
 
6.4%
4 20
 
6.1%
7 17
 
5.2%
5 15
 
4.6%
6 15
 
4.6%
Other Punctuation
ValueCountFrequency (%)
& 51
59.3%
, 19
 
22.1%
. 7
 
8.1%
· 3
 
3.5%
' 3
 
3.5%
！ 2
 
2.3%
: 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 298
99.3%
] 2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 297
99.3%
[ 2
 
0.7%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
× 1
50.0%
Space Separator
ValueCountFrequency (%)
1330
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18990
84.0%
Common 2362
 
10.5%
Latin 1234
 
5.5%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 661
 
3.5%
이 435
 
2.3%
도 357
 
1.9%
식 317
 
1.7%
스 304
 
1.6%
영 287
 
1.5%
시 280
 
1.5%
종 275
 
1.4%
당 260
 
1.4%
하 243
 
1.3%
Other values (789) 15571
82.0%
Latin
ValueCountFrequency (%)
e 93
 
7.5%
a 74
 
6.0%
C 57
 
4.6%
O 56
 
4.5%
B 54
 
4.4%
E 50
 
4.1%
o 45
 
3.6%
n 42
 
3.4%
A 41
 
3.3%
r 38
 
3.1%
Other values (41) 684
55.4%
Common
ValueCountFrequency (%)
1330
56.3%
) 298
 
12.6%
( 297
 
12.6%
2 97
 
4.1%
1 59
 
2.5%
& 51
 
2.2%
3 33
 
1.4%
9 30
 
1.3%
8 22
 
0.9%
0 21
 
0.9%
Other values (17) 124
 
5.2%
Han
ValueCountFrequency (%)
愛 2
20.0%
大 1
10.0%
牛 1
10.0%
王 1
10.0%
生 1
10.0%
安 1
10.0%
肉 1
10.0%
盤 1
10.0%
半 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18989
84.0%
ASCII 3588
 
15.9%
CJK 10
 
< 0.1%
None 7
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1330
37.1%
) 298
 
8.3%
( 297
 
8.3%
2 97
 
2.7%
e 93
 
2.6%
a 74
 
2.1%
1 59
 
1.6%
C 57
 
1.6%
O 56
 
1.6%
B 54
 
1.5%
Other values (63) 1173
32.7%
Hangul
ValueCountFrequency (%)
점 661
 
3.5%
이 435
 
2.3%
도 357
 
1.9%
식 317
 
1.7%
스 304
 
1.6%
영 287
 
1.5%
시 280
 
1.5%
종 275
 
1.4%
당 260
 
1.4%
하 243
 
1.3%
Other values (788) 15570
82.0%
None
ValueCountFrequency (%)
· 3
42.9%
！ 2
28.6%
× 1
 
14.3%
´ 1
 
14.3%
CJK
ValueCountFrequency (%)
愛 2
20.0%
大 1
10.0%
牛 1
10.0%
王 1
10.0%
生 1
10.0%
安 1
10.0%
肉 1
10.0%
盤 1
10.0%
半 1
10.0%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

소재지
Text

Distinct2900
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size24.6 KiB
2024-01-28T15:03:29.903092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length51
Mean length26.615483
Min length14

Characters and Unicode

Total characters83200
Distinct characters354
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

Unique2800 ?
Unique (%)89.6%

Sample

1st row인천광역시 중구 신흥동3가 18-11 19-5.6.7,20-1.7(1~2층)
2nd row인천광역시 중구 중앙동3가 1-2 1,2층
3rd row인천광역시 중구 신포동 12-27
4th row인천광역시 중구 항동1가 3-2 1층
5th row인천광역시 중구 중앙동3가 4-22
ValueCountFrequency (%)
인천광역시 3126
18.4%
중구 3126
18.4%
1층 1153
 
6.8%
운서동 815
 
4.8%
중산동 572
 
3.4%
2층 239
 
1.4%
항동7가 223
 
1.3%
을왕동 143
 
0.8%
운남동 142
 
0.8%
신포동 118
 
0.7%
Other values (2633) 7358
43.2%
2024-01-28T15:03:30.277145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16517
19.9%
1 5745
 
6.9%
중 3829
 
4.6%
인 3322
 
4.0%
동 3314
 
4.0%
시 3240
 
3.9%
천 3199
 
3.8%
2 3186
 
3.8%
광 3146
 
3.8%
역 3146
 
3.8%
Other values (344) 34556
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41423
49.8%
Decimal Number 21101
25.4%
Space Separator 16517
 
19.9%
Dash Punctuation 2891
 
3.5%
Other Punctuation 633
 
0.8%
Uppercase Letter 331
 
0.4%
Open Punctuation 112
 
0.1%
Close Punctuation 111
 
0.1%
Math Symbol 60
 
0.1%
Lowercase Letter 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 3829
 
9.2%
인 3322
 
8.0%
동 3314
 
8.0%
시 3240
 
7.8%
천 3199
 
7.7%
광 3146
 
7.6%
역 3146
 
7.6%
구 3134
 
7.6%
층 1761
 
4.3%
호 1243
 
3.0%
Other values (295) 12089
29.2%
Uppercase Letter
ValueCountFrequency (%)
B 82
24.8%
F 49
14.8%
I 35
10.6%
C 32
 
9.7%
P 29
 
8.8%
S 20
 
6.0%
A 15
 
4.5%
L 14
 
4.2%
K 13
 
3.9%
J 11
 
3.3%
Other values (11) 31
 
9.4%
Decimal Number
ValueCountFrequency (%)
1 5745
27.2%
2 3186
15.1%
0 2194
 
10.4%
3 2006
 
9.5%
8 1895
 
9.0%
7 1496
 
7.1%
4 1310
 
6.2%
5 1150
 
5.4%
9 1066
 
5.1%
6 1053
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
36.8%
a 3
15.8%
y 2
 
10.5%
c 2
 
10.5%
t 1
 
5.3%
i 1
 
5.3%
k 1
 
5.3%
r 1
 
5.3%
f 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 599
94.6%
. 32
 
5.1%
/ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
16517
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2891
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Math Symbol
ValueCountFrequency (%)
~ 60
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41425
49.8%
Hangul 41423
49.8%
Latin 352
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 3829
 
9.2%
인 3322
 
8.0%
동 3314
 
8.0%
시 3240
 
7.8%
천 3199
 
7.7%
광 3146
 
7.6%
역 3146
 
7.6%
구 3134
 
7.6%
층 1761
 
4.3%
호 1243
 
3.0%
Other values (295) 12089
29.2%
Latin
ValueCountFrequency (%)
B 82
23.3%
F 49
13.9%
I 35
9.9%
C 32
 
9.1%
P 29
 
8.2%
S 20
 
5.7%
A 15
 
4.3%
L 14
 
4.0%
K 13
 
3.7%
J 11
 
3.1%
Other values (21) 52
14.8%
Common
ValueCountFrequency (%)
16517
39.9%
1 5745
 
13.9%
2 3186
 
7.7%
- 2891
 
7.0%
0 2194
 
5.3%
3 2006
 
4.8%
8 1895
 
4.6%
7 1496
 
3.6%
4 1310
 
3.2%
5 1150
 
2.8%
Other values (8) 3035
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41775
50.2%
Hangul 41423
49.8%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16517
39.5%
1 5745
 
13.8%
2 3186
 
7.6%
- 2891
 
6.9%
0 2194
 
5.3%
3 2006
 
4.8%
8 1895
 
4.5%
7 1496
 
3.6%
4 1310
 
3.1%
5 1150
 
2.8%
Other values (38) 3385
 
8.1%
Hangul
ValueCountFrequency (%)
중 3829
 
9.2%
인 3322
 
8.0%
동 3314
 
8.0%
시 3240
 
7.8%
천 3199
 
7.7%
광 3146
 
7.6%
역 3146
 
7.6%
구 3134
 
7.6%
층 1761
 
4.3%
호 1243
 
3.0%
Other values (295) 12089
29.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%

소재지전화
Text

MISSING 

Distinct2089
Distinct (%)97.2%
Missing976
Missing (%)31.2%
Memory size24.6 KiB
2024-01-28T15:03:30.590064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.977209
Min length9

Characters and Unicode

Total characters30051
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2050 ?
Unique (%)95.3%

Sample

1st row032 - 882-2972
2nd row 032- 772-1504
3rd row 032- 773-2416
4th row 032- 762-5181
5th row 032- 763-9511
ValueCountFrequency (%)
032 1977
37.2%
746 186
 
3.5%
752 177
 
3.3%
751 158
 
3.0%
070 58
 
1.1%
777 54
 
1.0%
747 49
 
0.9%
48
 
0.9%
743 47
 
0.9%
765 34
 
0.6%
Other values (2087) 2526
47.5%
2024-01-28T15:03:31.057008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4292
14.3%
4142
13.8%
2 3615
12.0%
0 3372
11.2%
3 3214
10.7%
7 3159
10.5%
8 1705
 
5.7%
5 1592
 
5.3%
6 1456
 
4.8%
4 1316
 
4.4%
Other values (2) 2188
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21617
71.9%
Dash Punctuation 4292
 
14.3%
Space Separator 4142
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3615
16.7%
0 3372
15.6%
3 3214
14.9%
7 3159
14.6%
8 1705
7.9%
5 1592
7.4%
6 1456
6.7%
4 1316
 
6.1%
1 1249
 
5.8%
9 939
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 4292
100.0%
Space Separator
ValueCountFrequency (%)
4142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30051
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4292
14.3%
4142
13.8%
2 3615
12.0%
0 3372
11.2%
3 3214
10.7%
7 3159
10.5%
8 1705
 
5.7%
5 1592
 
5.3%
6 1456
 
4.8%
4 1316
 
4.4%
Other values (2) 2188
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4292
14.3%
4142
13.8%
2 3615
12.0%
0 3372
11.2%
3 3214
10.7%
7 3159
10.5%
8 1705
 
5.7%
5 1592
 
5.3%
6 1456
 
4.8%
4 1316
 
4.4%
Other values (2) 2188
7.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.6 KiB
Minimum2023-07-05 00:00:00
Maximum2023-07-05 00:00:00
2024-01-28T15:03:31.184160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:03:31.271016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-01-28T15:03:28.804089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:03:28.885382image/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

업소명소재지소재지전화데이터기준일자
0평양옥인천광역시 중구 신흥동3가 18-11 19-5.6.7,20-1.7(1~2층)032 - 882-29722023-07-05
1대성불고기인천광역시 중구 중앙동3가 1-2 1,2층032- 772-15042023-07-05
2다복집인천광역시 중구 신포동 12-27032- 773-24162023-07-05
3파라다이스호텔인천오림포스인천광역시 중구 항동1가 3-2 1층032- 762-51812023-07-05
4맛고을인천광역시 중구 중앙동3가 4-22032- 763-95112023-07-05
5마냥집인천광역시 중구 관동3가 2-7032- 772-37862023-07-05
6용화반점인천광역시 중구 경동 4032- 773-59702023-07-05
7혜빈장인천광역시 중구 송월동2가 1-4032- 772-19282023-07-05
8골목집인천광역시 중구 선화동 38-2 .8.9032- 883-33832023-07-05
9돈비어천가인천광역시 중구 내동 204032- 777-13002023-07-05
업소명소재지소재지전화데이터기준일자
3116치킨매니아 영종하늘도시점인천광역시 중구 중산동 1894-13 1층 103호070 -7808-00922023-07-05
3117더키친일뽀르노 영종도파라다이스시티점인천광역시 중구 운서동 2874 파라다이스시티 플라자 1층 K101-2호032 -729 -51422023-07-05
3118정심성의해장국 인천공항T2점인천광역시 중구 운서동 2840 인천국제공항제2교통센터 지하1층<NA>2023-07-05
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