Overview

Dataset statistics

Number of variables4
Number of observations155
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory32.9 B

Variable types

Categorical1
Text3

Dataset

Description2023. 7. 6. 기준 인천광역시 연수구 소재 제과점 현황에 대한 자료로 업종명, 업소명, 소재지(도로명 및 지번) 등의 정보를 제공합니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039783&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant

Reproduction

Analysis started2024-03-18 04:10:42.242461
Analysis finished2024-03-18 04:10:42.697199
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
제과점영업
155 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 155
100.0%

Length

2024-03-18T13:10:42.760698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:10:42.847747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 155
100.0%
Distinct149
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-18T13:10:42.980058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length21
Mean length10.567742
Min length2

Characters and Unicode

Total characters1638
Distinct characters301
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

Unique145 ?
Unique (%)93.5%

Sample

1st row파리바게트유천점
2nd row단팥빵 제과점
3rd row파리바게뜨
4th row파리바게뜨(옥련점)
5th row뚜레쥬르 신연수점
ValueCountFrequency (%)
파리바게뜨 19
 
7.0%
뚜레쥬르 14
 
5.1%
베이커리 10
 
3.7%
파리바게트 5
 
1.8%
연수점 4
 
1.5%
신연수점 3
 
1.1%
샹끄발레르 3
 
1.1%
송도점 3
 
1.1%
주)신세계푸드 3
 
1.1%
빽다방 2
 
0.7%
Other values (199) 206
75.7%
2024-03-18T13:10:43.285032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
7.1%
67
 
4.1%
62
 
3.8%
42
 
2.6%
42
 
2.6%
) 40
 
2.4%
( 40
 
2.4%
35
 
2.1%
35
 
2.1%
30
 
1.8%
Other values (291) 1128
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1161
70.9%
Lowercase Letter 149
 
9.1%
Space Separator 117
 
7.1%
Uppercase Letter 117
 
7.1%
Close Punctuation 40
 
2.4%
Open Punctuation 40
 
2.4%
Decimal Number 11
 
0.7%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
67
 
5.8%
62
 
5.3%
42
 
3.6%
42
 
3.6%
35
 
3.0%
35
 
3.0%
30
 
2.6%
29
 
2.5%
26
 
2.2%
24
 
2.1%
Other values (237) 769
66.2%
Lowercase Letter
ValueCountFrequency (%)
e 19
12.8%
a 16
10.7%
r 15
10.1%
o 13
 
8.7%
t 10
 
6.7%
u 10
 
6.7%
m 9
 
6.0%
s 8
 
5.4%
i 8
 
5.4%
n 8
 
5.4%
Other values (11) 33
22.1%
Uppercase Letter
ValueCountFrequency (%)
A 16
13.7%
B 12
 
10.3%
E 11
 
9.4%
C 8
 
6.8%
S 8
 
6.8%
N 7
 
6.0%
K 7
 
6.0%
R 6
 
5.1%
Y 6
 
5.1%
L 5
 
4.3%
Other values (11) 31
26.5%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
9 2
 
18.2%
4 1
 
9.1%
3 1
 
9.1%
1 1
 
9.1%
0 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 1
33.3%
& 1
33.3%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1160
70.8%
Latin 266
 
16.2%
Common 211
 
12.9%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
67
 
5.8%
62
 
5.3%
42
 
3.6%
42
 
3.6%
35
 
3.0%
35
 
3.0%
30
 
2.6%
29
 
2.5%
26
 
2.2%
24
 
2.1%
Other values (236) 768
66.2%
Latin
ValueCountFrequency (%)
e 19
 
7.1%
A 16
 
6.0%
a 16
 
6.0%
r 15
 
5.6%
o 13
 
4.9%
B 12
 
4.5%
E 11
 
4.1%
t 10
 
3.8%
u 10
 
3.8%
m 9
 
3.4%
Other values (32) 135
50.8%
Common
ValueCountFrequency (%)
117
55.5%
) 40
 
19.0%
( 40
 
19.0%
2 5
 
2.4%
9 2
 
0.9%
4 1
 
0.5%
, 1
 
0.5%
3 1
 
0.5%
1 1
 
0.5%
0 1
 
0.5%
Other values (2) 2
 
0.9%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1160
70.8%
ASCII 477
29.1%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
24.5%
) 40
 
8.4%
( 40
 
8.4%
e 19
 
4.0%
A 16
 
3.4%
a 16
 
3.4%
r 15
 
3.1%
o 13
 
2.7%
B 12
 
2.5%
E 11
 
2.3%
Other values (44) 178
37.3%
Hangul
ValueCountFrequency (%)
67
 
5.8%
62
 
5.3%
42
 
3.6%
42
 
3.6%
35
 
3.0%
35
 
3.0%
30
 
2.6%
29
 
2.5%
26
 
2.2%
24
 
2.1%
Other values (236) 768
66.2%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct150
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-18T13:10:43.489551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length54
Mean length44.096774
Min length23

Characters and Unicode

Total characters6835
Distinct characters248
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)94.8%

Sample

1st row인천광역시 연수구 비류대로 429, 1층 (연수동)
2nd row인천광역시 연수구 청능대로 175 (연수동,우성1차 상가 107호 2동 지상1층(청능로69))
3rd row인천광역시 연수구 원인재로 81 (동춘동,럭키삼성(아)상가 105호,117호(지상1층))
4th row인천광역시 연수구 독배로40번길 25 (옥련동,(지상1층))
5th row인천광역시 연수구 원인재로 286 (연수동, 대림1차상가 108호,109호 지상1층)
ValueCountFrequency (%)
인천광역시 155
 
12.6%
연수구 155
 
12.6%
송도동 83
 
6.8%
지상1층 40
 
3.3%
1층 25
 
2.0%
일부호 25
 
2.0%
연수동 24
 
2.0%
동춘동 19
 
1.5%
송도 17
 
1.4%
지하1층 12
 
1.0%
Other values (400) 673
54.8%
2024-03-18T13:10:43.865018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1073
 
15.7%
1 381
 
5.6%
, 235
 
3.4%
231
 
3.4%
189
 
2.8%
188
 
2.8%
187
 
2.7%
174
 
2.5%
( 169
 
2.5%
) 169
 
2.5%
Other values (238) 3839
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3951
57.8%
Decimal Number 1113
 
16.3%
Space Separator 1073
 
15.7%
Other Punctuation 236
 
3.5%
Open Punctuation 169
 
2.5%
Close Punctuation 169
 
2.5%
Uppercase Letter 95
 
1.4%
Dash Punctuation 19
 
0.3%
Lowercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
231
 
5.8%
189
 
4.8%
188
 
4.8%
187
 
4.7%
174
 
4.4%
165
 
4.2%
164
 
4.2%
163
 
4.1%
156
 
3.9%
156
 
3.9%
Other values (199) 2178
55.1%
Uppercase Letter
ValueCountFrequency (%)
D 14
14.7%
A 12
12.6%
E 10
10.5%
M 9
9.5%
U 7
 
7.4%
S 6
 
6.3%
B 6
 
6.3%
R 5
 
5.3%
W 4
 
4.2%
I 4
 
4.2%
Other values (9) 18
18.9%
Decimal Number
ValueCountFrequency (%)
1 381
34.2%
2 166
14.9%
0 150
 
13.5%
3 87
 
7.8%
4 71
 
6.4%
8 63
 
5.7%
5 60
 
5.4%
7 52
 
4.7%
6 47
 
4.2%
9 36
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
s 3
30.0%
t 3
30.0%
e 2
20.0%
a 2
20.0%
Other Punctuation
ValueCountFrequency (%)
, 235
99.6%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1073
100.0%
Open Punctuation
ValueCountFrequency (%)
( 169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3951
57.8%
Common 2779
40.7%
Latin 105
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
231
 
5.8%
189
 
4.8%
188
 
4.8%
187
 
4.7%
174
 
4.4%
165
 
4.2%
164
 
4.2%
163
 
4.1%
156
 
3.9%
156
 
3.9%
Other values (199) 2178
55.1%
Latin
ValueCountFrequency (%)
D 14
13.3%
A 12
11.4%
E 10
 
9.5%
M 9
 
8.6%
U 7
 
6.7%
S 6
 
5.7%
B 6
 
5.7%
R 5
 
4.8%
W 4
 
3.8%
I 4
 
3.8%
Other values (13) 28
26.7%
Common
ValueCountFrequency (%)
1073
38.6%
1 381
 
13.7%
, 235
 
8.5%
( 169
 
6.1%
) 169
 
6.1%
2 166
 
6.0%
0 150
 
5.4%
3 87
 
3.1%
4 71
 
2.6%
8 63
 
2.3%
Other values (6) 215
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3951
57.8%
ASCII 2884
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1073
37.2%
1 381
 
13.2%
, 235
 
8.1%
( 169
 
5.9%
) 169
 
5.9%
2 166
 
5.8%
0 150
 
5.2%
3 87
 
3.0%
4 71
 
2.5%
8 63
 
2.2%
Other values (29) 320
 
11.1%
Hangul
ValueCountFrequency (%)
231
 
5.8%
189
 
4.8%
188
 
4.8%
187
 
4.7%
174
 
4.4%
165
 
4.2%
164
 
4.2%
163
 
4.1%
156
 
3.9%
156
 
3.9%
Other values (199) 2178
55.1%
Distinct150
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-18T13:10:44.110951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length32.864516
Min length18

Characters and Unicode

Total characters5094
Distinct characters211
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)94.2%

Sample

1st row인천광역시 연수구 연수동 507-14 1층
2nd row인천광역시 연수구 연수동 635 우성1차 상가 107호 2동 지상1층(청능로69)
3rd row인천광역시 연수구 동춘동 924-3 럭키삼성(아)상가 105호,117호(지상1층)
4th row인천광역시 연수구 옥련동 462-33 (지상1층)
5th row인천광역시 연수구 연수동 532 대림1차상가 108호,109호 지상1층
ValueCountFrequency (%)
인천광역시 155
 
15.8%
연수구 155
 
15.8%
송도동 88
 
9.0%
연수동 27
 
2.8%
동춘동 22
 
2.2%
지상1층 16
 
1.6%
송도 15
 
1.5%
일부호 11
 
1.1%
상가동 11
 
1.1%
1층 10
 
1.0%
Other values (336) 470
48.0%
2024-03-18T13:10:44.503323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
922
 
18.1%
1 311
 
6.1%
221
 
4.3%
189
 
3.7%
188
 
3.7%
162
 
3.2%
160
 
3.1%
159
 
3.1%
156
 
3.1%
155
 
3.0%
Other values (201) 2471
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2909
57.1%
Decimal Number 985
 
19.3%
Space Separator 922
 
18.1%
Dash Punctuation 125
 
2.5%
Uppercase Letter 81
 
1.6%
Other Punctuation 32
 
0.6%
Open Punctuation 15
 
0.3%
Close Punctuation 15
 
0.3%
Lowercase Letter 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
221
 
7.6%
189
 
6.5%
188
 
6.5%
162
 
5.6%
160
 
5.5%
159
 
5.5%
156
 
5.4%
155
 
5.3%
155
 
5.3%
130
 
4.5%
Other values (162) 1234
42.4%
Uppercase Letter
ValueCountFrequency (%)
D 14
17.3%
E 9
11.1%
M 9
11.1%
U 7
8.6%
A 7
8.6%
R 5
 
6.2%
S 5
 
6.2%
B 4
 
4.9%
T 4
 
4.9%
W 3
 
3.7%
Other values (9) 14
17.3%
Decimal Number
ValueCountFrequency (%)
1 311
31.6%
2 140
14.2%
0 104
 
10.6%
3 94
 
9.5%
9 71
 
7.2%
5 66
 
6.7%
6 59
 
6.0%
4 56
 
5.7%
8 46
 
4.7%
7 38
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
s 3
30.0%
t 3
30.0%
a 2
20.0%
e 2
20.0%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
/ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
922
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2909
57.1%
Common 2094
41.1%
Latin 91
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
221
 
7.6%
189
 
6.5%
188
 
6.5%
162
 
5.6%
160
 
5.5%
159
 
5.5%
156
 
5.4%
155
 
5.3%
155
 
5.3%
130
 
4.5%
Other values (162) 1234
42.4%
Latin
ValueCountFrequency (%)
D 14
15.4%
E 9
 
9.9%
M 9
 
9.9%
U 7
 
7.7%
A 7
 
7.7%
R 5
 
5.5%
S 5
 
5.5%
B 4
 
4.4%
T 4
 
4.4%
W 3
 
3.3%
Other values (13) 24
26.4%
Common
ValueCountFrequency (%)
922
44.0%
1 311
 
14.9%
2 140
 
6.7%
- 125
 
6.0%
0 104
 
5.0%
3 94
 
4.5%
9 71
 
3.4%
5 66
 
3.2%
6 59
 
2.8%
4 56
 
2.7%
Other values (6) 146
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2909
57.1%
ASCII 2185
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
922
42.2%
1 311
 
14.2%
2 140
 
6.4%
- 125
 
5.7%
0 104
 
4.8%
3 94
 
4.3%
9 71
 
3.2%
5 66
 
3.0%
6 59
 
2.7%
4 56
 
2.6%
Other values (29) 237
 
10.8%
Hangul
ValueCountFrequency (%)
221
 
7.6%
189
 
6.5%
188
 
6.5%
162
 
5.6%
160
 
5.5%
159
 
5.5%
156
 
5.4%
155
 
5.3%
155
 
5.3%
130
 
4.5%
Other values (162) 1234
42.4%

Missing values

2024-03-18T13:10:42.575216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:10:42.660899image/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)소재지(지번)
0제과점영업파리바게트유천점인천광역시 연수구 비류대로 429, 1층 (연수동)인천광역시 연수구 연수동 507-14 1층
1제과점영업단팥빵 제과점인천광역시 연수구 청능대로 175 (연수동,우성1차 상가 107호 2동 지상1층(청능로69))인천광역시 연수구 연수동 635 우성1차 상가 107호 2동 지상1층(청능로69)
2제과점영업파리바게뜨인천광역시 연수구 원인재로 81 (동춘동,럭키삼성(아)상가 105호,117호(지상1층))인천광역시 연수구 동춘동 924-3 럭키삼성(아)상가 105호,117호(지상1층)
3제과점영업파리바게뜨(옥련점)인천광역시 연수구 독배로40번길 25 (옥련동,(지상1층))인천광역시 연수구 옥련동 462-33 (지상1층)
4제과점영업뚜레쥬르 신연수점인천광역시 연수구 원인재로 286 (연수동, 대림1차상가 108호,109호 지상1층)인천광역시 연수구 연수동 532 대림1차상가 108호,109호 지상1층
5제과점영업파리바게트 선학역점인천광역시 연수구 선학로 101, 지상1층 101호 (선학동, 뉴서울1차아파트 상가동)인천광역시 연수구 선학동 352 뉴서울1차아파트 상가동 지상1층 101호
6제과점영업파리바게뜨인천광역시 연수구 비류대로 230 (옥련동,(지상1층))인천광역시 연수구 옥련동 319-6 (지상1층)
7제과점영업케익하우스파티쉐인천광역시 연수구 비류대로186번길 20 (옥련동,풍림아파트상가 107호(지상1층))인천광역시 연수구 옥련동 643-2 풍림아파트상가 107호(지상1층)
8제과점영업파리바게뜨 (연수마그넷점)인천광역시 연수구 청능대로 93, 지상1층 107,108호 (청학동, 이리옴프라자)인천광역시 연수구 청학동 503-4 이리옴프라자, 107,108호
9제과점영업(주)신세계푸드 블랑제리 연수점인천광역시 연수구 경원대로 184, 이마트 지상1층 일부호 (동춘동)인천광역시 연수구 동춘동 926-9 이마트 일부호
업종명업소명소재지(도로명)소재지(지번)
145제과점영업대한이제빵소인천광역시 연수구 하모니로178번길 6, 송도중앙타워 2층 219호 (송도동)인천광역시 연수구 송도동 10-110
146제과점영업모구모구과자점 인 송도(mogumogu in songdo)인천광역시 연수구 센트럴로 160, 판매시설동 1층 177호 (송도동, 송도센트럴파크푸르지오)인천광역시 연수구 송도동 23-5 송도센트럴파크푸르지오 판매시설동 177호
147제과점영업케이커링(Cakering)인천광역시 연수구 하모니로 144, 판매시설동 2층 A202호 (송도동, 송도 지웰 푸르지오시티)인천광역시 연수구 송도동 8-23 송도 지웰 푸르지오시티
148제과점영업더스탈릿(The starlit)인천광역시 연수구 아암대로 825-25, 제1동 지하1층 (동춘동)인천광역시 연수구 동춘동 698-12 제1동
149제과점영업송사부 수제고로케 이마트연수점인천광역시 연수구 경원대로 184, 이마트 지상2층 일부호 (동춘동)인천광역시 연수구 동춘동 926-9 이마트 일부호
150제과점영업(주)신세계푸드 피자앤샐러드 연수점인천광역시 연수구 경원대로 184, 이마트 지상1층 일부호 (동춘동)인천광역시 연수구 동춘동 926-9 이마트
151제과점영업임페리아푸드인천광역시 연수구 새말로 68, 지상1층 일부호 (연수동)인천광역시 연수구 연수동 567 일부호
152제과점영업밀앤버터인천광역시 연수구 함박뫼로26번길 12, 지상1층 일부호 (청학동)인천광역시 연수구 청학동 473 일부호
153제과점영업(주)신세계푸드 블랑제리 빈매대 연수점인천광역시 연수구 경원대로 184, 이마트 지상1층 일부호 (동춘동)인천광역시 연수구 동춘동 926-9 이마트 지상1층 일부호
154제과점영업게리프린스(Gery Prince)인천광역시 연수구 컨벤시아대로230번길 54, 닥터플러스몰 1층 A104호 (송도동)인천광역시 연수구 송도동 98-1 닥터플러스몰 A104호