Overview

Dataset statistics

Number of variables5
Number of observations249
Missing cells149
Missing cells (%)12.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory40.5 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description인천광역시 서구에 위치한 중국식당에 위치에 관한 데이터셋입니다. 인천광역시 서구에 위치한 중국식당의 (상호명, 도로명주소, 지번주소)가 포함되어 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15040989&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 149 (59.8%) missing valuesMissing
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:59:37.830883
Analysis finished2024-01-28 16:59:38.262177
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
일반음식점
249 

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 249
100.0%

Length

2024-01-29T01:59:38.309449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:59:38.383856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 249
100.0%

업소명
Text

Distinct231
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-01-29T01:59:38.554080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length5.626506
Min length2

Characters and Unicode

Total characters1401
Distinct characters294
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)86.7%

Sample

1st row미미반점
2nd row태흥각
3rd row영인각
4th row백리향
5th row대명관
ValueCountFrequency (%)
마라탕 6
 
2.1%
탕화쿵푸마라탕 4
 
1.4%
마라공방 4
 
1.4%
청라점 4
 
1.4%
교동짬뽕 3
 
1.0%
검단점 3
 
1.0%
마수리마라탕 3
 
1.0%
향래원마라탕 2
 
0.7%
마라연구소 2
 
0.7%
홍콩반점0410 2
 
0.7%
Other values (242) 254
88.5%
2024-01-29T01:59:38.853894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
라 97
 
6.9%
마 83
 
5.9%
탕 57
 
4.1%
점 57
 
4.1%
38
 
2.7%
뽕 28
 
2.0%
짬 27
 
1.9%
화 24
 
1.7%
이 24
 
1.7%
향 21
 
1.5%
Other values (284) 945
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1279
91.3%
Space Separator 38
 
2.7%
Decimal Number 32
 
2.3%
Uppercase Letter 22
 
1.6%
Close Punctuation 11
 
0.8%
Open Punctuation 11
 
0.8%
Other Punctuation 5
 
0.4%
Lowercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 97
 
7.6%
마 83
 
6.5%
탕 57
 
4.5%
점 57
 
4.5%
뽕 28
 
2.2%
짬 27
 
2.1%
화 24
 
1.9%
이 24
 
1.9%
향 21
 
1.6%
천 19
 
1.5%
Other values (259) 842
65.8%
Uppercase Letter
ValueCountFrequency (%)
A 4
18.2%
H 3
13.6%
O 3
13.6%
C 2
9.1%
P 2
9.1%
K 1
 
4.5%
E 1
 
4.5%
T 1
 
4.5%
B 1
 
4.5%
M 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
0 13
40.6%
1 11
34.4%
4 4
 
12.5%
2 3
 
9.4%
9 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
, 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1262
90.1%
Common 97
 
6.9%
Latin 25
 
1.8%
Han 17
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 97
 
7.7%
마 83
 
6.6%
탕 57
 
4.5%
점 57
 
4.5%
뽕 28
 
2.2%
짬 27
 
2.1%
화 24
 
1.9%
이 24
 
1.9%
향 21
 
1.7%
천 19
 
1.5%
Other values (242) 825
65.4%
Han
ValueCountFrequency (%)
火 1
 
5.9%
沅 1
 
5.9%
鼎 1
 
5.9%
親 1
 
5.9%
愛 1
 
5.9%
好 1
 
5.9%
辛 1
 
5.9%
美 1
 
5.9%
磊 1
 
5.9%
中 1
 
5.9%
Other values (7) 7
41.2%
Latin
ValueCountFrequency (%)
A 4
16.0%
H 3
12.0%
O 3
12.0%
C 2
 
8.0%
o 2
 
8.0%
P 2
 
8.0%
K 1
 
4.0%
E 1
 
4.0%
T 1
 
4.0%
B 1
 
4.0%
Other values (5) 5
20.0%
Common
ValueCountFrequency (%)
38
39.2%
0 13
 
13.4%
) 11
 
11.3%
( 11
 
11.3%
1 11
 
11.3%
4 4
 
4.1%
& 4
 
4.1%
2 3
 
3.1%
, 1
 
1.0%
9 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1262
90.1%
ASCII 122
 
8.7%
CJK 17
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
라 97
 
7.7%
마 83
 
6.6%
탕 57
 
4.5%
점 57
 
4.5%
뽕 28
 
2.2%
짬 27
 
2.1%
화 24
 
1.9%
이 24
 
1.9%
향 21
 
1.7%
천 19
 
1.5%
Other values (242) 825
65.4%
ASCII
ValueCountFrequency (%)
38
31.1%
0 13
 
10.7%
) 11
 
9.0%
( 11
 
9.0%
1 11
 
9.0%
4 4
 
3.3%
A 4
 
3.3%
& 4
 
3.3%
H 3
 
2.5%
2 3
 
2.5%
Other values (15) 20
16.4%
CJK
ValueCountFrequency (%)
火 1
 
5.9%
沅 1
 
5.9%
鼎 1
 
5.9%
親 1
 
5.9%
愛 1
 
5.9%
好 1
 
5.9%
辛 1
 
5.9%
美 1
 
5.9%
磊 1
 
5.9%
中 1
 
5.9%
Other values (7) 7
41.2%

소재지(도로명)
Text

UNIQUE 

Distinct249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-01-29T01:59:39.067848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length51
Mean length35.433735
Min length20

Characters and Unicode

Total characters8823
Distinct characters264
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

Unique249 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 원적로124번길 16, 201호 (가좌동, 현대아파트 상가동)
2nd row인천광역시 서구 건지로250번길 29-4 (가좌동)
3rd row인천광역시 서구 건지로334번길 2-1 (가좌동,외 1필지)
4th row인천광역시 서구 고래울로28번길 20 (가좌동)
5th row인천광역시 서구 고래울로 27-1 (가좌동)
ValueCountFrequency (%)
인천광역시 249
 
14.6%
서구 249
 
14.6%
1층 58
 
3.4%
청라동 54
 
3.2%
가정동 24
 
1.4%
석남동 22
 
1.3%
원당동 21
 
1.2%
당하동 17
 
1.0%
일부호 17
 
1.0%
가좌동 17
 
1.0%
Other values (551) 980
57.4%
2024-01-29T01:59:39.402014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1460
 
16.5%
1 480
 
5.4%
, 302
 
3.4%
동 282
 
3.2%
서 272
 
3.1%
로 262
 
3.0%
시 260
 
2.9%
2 259
 
2.9%
) 255
 
2.9%
( 255
 
2.9%
Other values (254) 4736
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4759
53.9%
Decimal Number 1663
 
18.8%
Space Separator 1460
 
16.5%
Other Punctuation 304
 
3.4%
Close Punctuation 255
 
2.9%
Open Punctuation 255
 
2.9%
Uppercase Letter 57
 
0.6%
Dash Punctuation 56
 
0.6%
Lowercase Letter 13
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 282
 
5.9%
서 272
 
5.7%
로 262
 
5.5%
시 260
 
5.5%
인 254
 
5.3%
천 251
 
5.3%
구 249
 
5.2%
역 249
 
5.2%
광 249
 
5.2%
호 180
 
3.8%
Other values (219) 2251
47.3%
Uppercase Letter
ValueCountFrequency (%)
B 26
45.6%
A 8
 
14.0%
S 4
 
7.0%
K 3
 
5.3%
D 2
 
3.5%
W 2
 
3.5%
J 2
 
3.5%
L 2
 
3.5%
E 2
 
3.5%
I 2
 
3.5%
Other values (3) 4
 
7.0%
Decimal Number
ValueCountFrequency (%)
1 480
28.9%
2 259
15.6%
0 198
11.9%
5 118
 
7.1%
3 116
 
7.0%
4 115
 
6.9%
7 108
 
6.5%
8 101
 
6.1%
6 91
 
5.5%
9 77
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
30.8%
a 3
23.1%
s 2
15.4%
r 2
15.4%
d 2
15.4%
Other Punctuation
ValueCountFrequency (%)
, 302
99.3%
' 2
 
0.7%
Space Separator
ValueCountFrequency (%)
1460
100.0%
Close Punctuation
ValueCountFrequency (%)
) 255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 255
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4759
53.9%
Common 3994
45.3%
Latin 70
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 282
 
5.9%
서 272
 
5.7%
로 262
 
5.5%
시 260
 
5.5%
인 254
 
5.3%
천 251
 
5.3%
구 249
 
5.2%
역 249
 
5.2%
광 249
 
5.2%
호 180
 
3.8%
Other values (219) 2251
47.3%
Latin
ValueCountFrequency (%)
B 26
37.1%
A 8
 
11.4%
e 4
 
5.7%
S 4
 
5.7%
K 3
 
4.3%
a 3
 
4.3%
D 2
 
2.9%
W 2
 
2.9%
J 2
 
2.9%
L 2
 
2.9%
Other values (8) 14
20.0%
Common
ValueCountFrequency (%)
1460
36.6%
1 480
 
12.0%
, 302
 
7.6%
2 259
 
6.5%
) 255
 
6.4%
( 255
 
6.4%
0 198
 
5.0%
5 118
 
3.0%
3 116
 
2.9%
4 115
 
2.9%
Other values (7) 436
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4757
53.9%
ASCII 4064
46.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1460
35.9%
1 480
 
11.8%
, 302
 
7.4%
2 259
 
6.4%
) 255
 
6.3%
( 255
 
6.3%
0 198
 
4.9%
5 118
 
2.9%
3 116
 
2.9%
4 115
 
2.8%
Other values (25) 506
 
12.5%
Hangul
ValueCountFrequency (%)
동 282
 
5.9%
서 272
 
5.7%
로 262
 
5.5%
시 260
 
5.5%
인 254
 
5.3%
천 251
 
5.3%
구 249
 
5.2%
역 249
 
5.2%
광 249
 
5.2%
호 180
 
3.8%
Other values (218) 2249
47.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

전화번호
Text

MISSING 

Distinct99
Distinct (%)99.0%
Missing149
Missing (%)59.8%
Memory size2.1 KiB
2024-01-29T01:59:39.610350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02
Min length12

Characters and Unicode

Total characters1202
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

Unique98 ?
Unique (%)98.0%

Sample

1st row032-577-4422
2nd row032-577-9108
3rd row032-576-8761
4th row032-581-7739
5th row032-571-8040
ValueCountFrequency (%)
032-565-5800 2
 
2.0%
032-746-1096 1
 
1.0%
032-577-4422 1
 
1.0%
032-568-1840 1
 
1.0%
032-561-2977 1
 
1.0%
032-574-5553 1
 
1.0%
032-563-2244 1
 
1.0%
032-581-8883 1
 
1.0%
032-563-5228 1
 
1.0%
032-567-8972 1
 
1.0%
Other values (89) 89
89.0%
2024-01-29T01:59:39.899801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
16.6%
2 164
13.6%
0 158
13.1%
3 152
12.6%
5 149
12.4%
6 103
8.6%
8 86
7.2%
7 63
 
5.2%
1 48
 
4.0%
4 41
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1002
83.4%
Dash Punctuation 200
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 164
16.4%
0 158
15.8%
3 152
15.2%
5 149
14.9%
6 103
10.3%
8 86
8.6%
7 63
 
6.3%
1 48
 
4.8%
4 41
 
4.1%
9 38
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1202
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
16.6%
2 164
13.6%
0 158
13.1%
3 152
12.6%
5 149
12.4%
6 103
8.6%
8 86
7.2%
7 63
 
5.2%
1 48
 
4.0%
4 41
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
16.6%
2 164
13.6%
0 158
13.1%
3 152
12.6%
5 149
12.4%
6 103
8.6%
8 86
7.2%
7 63
 
5.2%
1 48
 
4.0%
4 41
 
3.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2023-10-26 00:00:00
Maximum2023-10-26 00:00:00
2024-01-29T01:59:39.991436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:59:40.059187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-01-29T01:59:38.161586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:59:38.230865image/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

업종명업소명소재지(도로명)전화번호데이터기준일자
0일반음식점미미반점인천광역시 서구 원적로124번길 16, 201호 (가좌동, 현대아파트 상가동)032-577-44222023-10-26
1일반음식점태흥각인천광역시 서구 건지로250번길 29-4 (가좌동)032-577-91082023-10-26
2일반음식점영인각인천광역시 서구 건지로334번길 2-1 (가좌동,외 1필지)032-576-87612023-10-26
3일반음식점백리향인천광역시 서구 고래울로28번길 20 (가좌동)032-581-77392023-10-26
4일반음식점대명관인천광역시 서구 고래울로 27-1 (가좌동)032-571-80402023-10-26
5일반음식점호돌이반점인천광역시 서구 탁옥로97번길 16-3 (심곡동)032-562-12122023-10-26
6일반음식점대성각인천광역시 서구 건지로153번길 4 (석남동, 223-678)032-581-01102023-10-26
7일반음식점희래등인천광역시 서구 탁옥로86번길 6-1 (심곡동)032-565-58002023-10-26
8일반음식점라쿵푸마라탕인천광역시 서구 원창로 215, 2층 일부 (가정동)032-575-03352023-10-26
9일반음식점신천왕성인천광역시 서구 심곡로 17 (심곡동)032-566-88222023-10-26
업종명업소명소재지(도로명)전화번호데이터기준일자
239일반음식점THE차이인천광역시 서구 이음3로 149, 위너스 프라자 101호 (당하동)<NA>2023-10-26
240일반음식점찐하오마라탕인천광역시 서구 이음5로 70, 새샘프라자 106호 (원당동)<NA>2023-10-26
241일반음식점더킴양꼬치 불로월드점인천광역시 서구 검단로 842, 165,169호 (불로동)<NA>2023-10-26
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