Overview

Dataset statistics

Number of variables5
Number of observations150
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory41.9 B

Variable types

Numeric1
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

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:59:40.693091
Analysis finished2024-01-28 16:59:41.184623
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.5
Minimum1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-29T01:59:41.243375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.45
Q138.25
median75.5
Q3112.75
95-th percentile142.55
Maximum150
Range149
Interquartile range (IQR)74.5

Descriptive statistics

Standard deviation43.445368
Coefficient of variation (CV)0.57543534
Kurtosis-1.2
Mean75.5
Median Absolute Deviation (MAD)37.5
Skewness0
Sum11325
Variance1887.5
MonotonicityStrictly increasing
2024-01-29T01:59:41.370761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
96 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
Other values (140) 140
93.3%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%

업소명
Text

Distinct142
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-29T01:59:41.583400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length5.02
Min length1

Characters and Unicode

Total characters753
Distinct characters219
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

Unique137 ?
Unique (%)91.3%

Sample

1st row현대각
2nd row신태흥각
3rd row영인각
4th row백리향
5th row대명관
ValueCountFrequency (%)
탕화쿵푸마라탕 4
 
2.5%
교동짬뽕 4
 
2.5%
백리향 2
 
1.2%
착한쭝식 2
 
1.2%
희래등 2
 
1.2%
청라점 2
 
1.2%
인천짜장4900원 2
 
1.2%
차이나 2
 
1.2%
팔팔짬뽕 1
 
0.6%
롱시아 1
 
0.6%
Other values (140) 140
86.4%
2024-01-29T01:59:41.880889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
라 30
 
4.0%
이 28
 
3.7%
뽕 25
 
3.3%
점 25
 
3.3%
짬 22
 
2.9%
탕 20
 
2.7%
마 20
 
2.7%
짜 13
 
1.7%
천 13
 
1.7%
장 13
 
1.7%
Other values (209) 544
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 690
91.6%
Decimal Number 28
 
3.7%
Space Separator 12
 
1.6%
Close Punctuation 7
 
0.9%
Open Punctuation 7
 
0.9%
Lowercase Letter 4
 
0.5%
Other Punctuation 3
 
0.4%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 30
 
4.3%
이 28
 
4.1%
뽕 25
 
3.6%
점 25
 
3.6%
짬 22
 
3.2%
탕 20
 
2.9%
마 20
 
2.9%
짜 13
 
1.9%
천 13
 
1.9%
장 13
 
1.9%
Other values (193) 481
69.7%
Decimal Number
ValueCountFrequency (%)
0 12
42.9%
1 7
25.0%
4 4
 
14.3%
9 3
 
10.7%
2 2
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
e 1
25.0%
h 1
25.0%
y 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 682
90.6%
Common 57
 
7.6%
Han 8
 
1.1%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 30
 
4.4%
이 28
 
4.1%
뽕 25
 
3.7%
점 25
 
3.7%
짬 22
 
3.2%
탕 20
 
2.9%
마 20
 
2.9%
짜 13
 
1.9%
천 13
 
1.9%
장 13
 
1.9%
Other values (185) 473
69.4%
Common
ValueCountFrequency (%)
0 12
21.1%
12
21.1%
) 7
12.3%
1 7
12.3%
( 7
12.3%
4 4
 
7.0%
9 3
 
5.3%
2 2
 
3.5%
. 2
 
3.5%
& 1
 
1.8%
Han
ValueCountFrequency (%)
美 1
12.5%
親 1
12.5%
香 1
12.5%
理 1
12.5%
料 1
12.5%
華 1
12.5%
中 1
12.5%
磊 1
12.5%
Latin
ValueCountFrequency (%)
D 1
16.7%
a 1
16.7%
e 1
16.7%
h 1
16.7%
T 1
16.7%
y 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 682
90.6%
ASCII 63
 
8.4%
CJK 8
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
라 30
 
4.4%
이 28
 
4.1%
뽕 25
 
3.7%
점 25
 
3.7%
짬 22
 
3.2%
탕 20
 
2.9%
마 20
 
2.9%
짜 13
 
1.9%
천 13
 
1.9%
장 13
 
1.9%
Other values (185) 473
69.4%
ASCII
ValueCountFrequency (%)
0 12
19.0%
12
19.0%
) 7
11.1%
1 7
11.1%
( 7
11.1%
4 4
 
6.3%
9 3
 
4.8%
2 2
 
3.2%
. 2
 
3.2%
D 1
 
1.6%
Other values (6) 6
9.5%
CJK
ValueCountFrequency (%)
美 1
12.5%
親 1
12.5%
香 1
12.5%
理 1
12.5%
料 1
12.5%
華 1
12.5%
中 1
12.5%
磊 1
12.5%

소재지(도로명)
Text

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-29T01:59:42.106818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length46
Mean length34.526667
Min length21

Characters and Unicode

Total characters5179
Distinct characters209
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
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 150
 
15.2%
서구 150
 
15.2%
1층 30
 
3.0%
청라동 18
 
1.8%
연희동 15
 
1.5%
석남동 15
 
1.5%
가좌동 14
 
1.4%
가정동 11
 
1.1%
심곡동 9
 
0.9%
경서동 8
 
0.8%
Other values (370) 567
57.4%
2024-01-29T01:59:42.434203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
838
 
16.2%
1 291
 
5.6%
, 180
 
3.5%
서 172
 
3.3%
동 168
 
3.2%
2 165
 
3.2%
( 157
 
3.0%
) 157
 
3.0%
로 157
 
3.0%
시 154
 
3.0%
Other values (199) 2740
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2774
53.6%
Decimal Number 1001
 
19.3%
Space Separator 838
 
16.2%
Other Punctuation 180
 
3.5%
Open Punctuation 157
 
3.0%
Close Punctuation 157
 
3.0%
Dash Punctuation 48
 
0.9%
Uppercase Letter 23
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 172
 
6.2%
동 168
 
6.1%
로 157
 
5.7%
시 154
 
5.6%
인 153
 
5.5%
천 151
 
5.4%
광 151
 
5.4%
구 150
 
5.4%
역 150
 
5.4%
호 90
 
3.2%
Other values (178) 1278
46.1%
Decimal Number
ValueCountFrequency (%)
1 291
29.1%
2 165
16.5%
0 107
 
10.7%
3 73
 
7.3%
5 70
 
7.0%
7 67
 
6.7%
8 63
 
6.3%
4 59
 
5.9%
6 58
 
5.8%
9 48
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 13
56.5%
A 6
26.1%
D 2
 
8.7%
H 1
 
4.3%
C 1
 
4.3%
Space Separator
ValueCountFrequency (%)
838
100.0%
Other Punctuation
ValueCountFrequency (%)
, 180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2774
53.6%
Common 2382
46.0%
Latin 23
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 172
 
6.2%
동 168
 
6.1%
로 157
 
5.7%
시 154
 
5.6%
인 153
 
5.5%
천 151
 
5.4%
광 151
 
5.4%
구 150
 
5.4%
역 150
 
5.4%
호 90
 
3.2%
Other values (178) 1278
46.1%
Common
ValueCountFrequency (%)
838
35.2%
1 291
 
12.2%
, 180
 
7.6%
2 165
 
6.9%
( 157
 
6.6%
) 157
 
6.6%
0 107
 
4.5%
3 73
 
3.1%
5 70
 
2.9%
7 67
 
2.8%
Other values (6) 277
 
11.6%
Latin
ValueCountFrequency (%)
B 13
56.5%
A 6
26.1%
D 2
 
8.7%
H 1
 
4.3%
C 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2771
53.5%
ASCII 2405
46.4%
Compat Jamo 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
838
34.8%
1 291
 
12.1%
, 180
 
7.5%
2 165
 
6.9%
( 157
 
6.5%
) 157
 
6.5%
0 107
 
4.4%
3 73
 
3.0%
5 70
 
2.9%
7 67
 
2.8%
Other values (11) 300
 
12.5%
Hangul
ValueCountFrequency (%)
서 172
 
6.2%
동 168
 
6.1%
로 157
 
5.7%
시 154
 
5.6%
인 153
 
5.5%
천 151
 
5.4%
광 151
 
5.4%
구 150
 
5.4%
역 150
 
5.4%
호 90
 
3.2%
Other values (177) 1275
46.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

소재지(지번)
Text

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-29T01:59:42.657100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length25.82
Min length17

Characters and Unicode

Total characters3873
Distinct characters172
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 가좌동 81-24 현대아파트 상가동 201호
2nd row인천광역시 서구 가좌동 139-6
3rd row인천광역시 서구 가좌동 174-37 외 1필지
4th row인천광역시 서구 가좌동 342-8
5th row인천광역시 서구 가좌동 350-5
ValueCountFrequency (%)
인천광역시 150
19.2%
서구 150
19.2%
청라동 34
 
4.4%
1층 23
 
2.9%
석남동 16
 
2.1%
가좌동 16
 
2.1%
가정동 11
 
1.4%
심곡동 9
 
1.2%
검암동 8
 
1.0%
마전동 8
 
1.0%
Other values (267) 355
45.5%
2024-01-29T01:59:42.983929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
755
19.5%
1 287
 
7.4%
동 166
 
4.3%
서 156
 
4.0%
인 152
 
3.9%
시 152
 
3.9%
- 151
 
3.9%
천 151
 
3.9%
광 151
 
3.9%
역 150
 
3.9%
Other values (162) 1602
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1974
51.0%
Decimal Number 938
24.2%
Space Separator 755
 
19.5%
Dash Punctuation 151
 
3.9%
Other Punctuation 20
 
0.5%
Uppercase Letter 17
 
0.4%
Close Punctuation 8
 
0.2%
Open Punctuation 8
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 166
 
8.4%
서 156
 
7.9%
인 152
 
7.7%
시 152
 
7.7%
천 151
 
7.6%
광 151
 
7.6%
역 150
 
7.6%
구 150
 
7.6%
라 69
 
3.5%
호 65
 
3.3%
Other values (139) 612
31.0%
Decimal Number
ValueCountFrequency (%)
1 287
30.6%
2 121
12.9%
0 102
 
10.9%
6 81
 
8.6%
5 76
 
8.1%
3 67
 
7.1%
7 60
 
6.4%
4 58
 
6.2%
8 45
 
4.8%
9 41
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 8
47.1%
A 5
29.4%
D 2
 
11.8%
H 1
 
5.9%
C 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 19
95.0%
: 1
 
5.0%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
→ 1
50.0%
Space Separator
ValueCountFrequency (%)
755
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1974
51.0%
Common 1882
48.6%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 166
 
8.4%
서 156
 
7.9%
인 152
 
7.7%
시 152
 
7.7%
천 151
 
7.6%
광 151
 
7.6%
역 150
 
7.6%
구 150
 
7.6%
라 69
 
3.5%
호 65
 
3.3%
Other values (139) 612
31.0%
Common
ValueCountFrequency (%)
755
40.1%
1 287
 
15.2%
- 151
 
8.0%
2 121
 
6.4%
0 102
 
5.4%
6 81
 
4.3%
5 76
 
4.0%
3 67
 
3.6%
7 60
 
3.2%
4 58
 
3.1%
Other values (8) 124
 
6.6%
Latin
ValueCountFrequency (%)
B 8
47.1%
A 5
29.4%
D 2
 
11.8%
H 1
 
5.9%
C 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1971
50.9%
ASCII 1898
49.0%
Compat Jamo 3
 
0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
755
39.8%
1 287
 
15.1%
- 151
 
8.0%
2 121
 
6.4%
0 102
 
5.4%
6 81
 
4.3%
5 76
 
4.0%
3 67
 
3.5%
7 60
 
3.2%
4 58
 
3.1%
Other values (12) 140
 
7.4%
Hangul
ValueCountFrequency (%)
동 166
 
8.4%
서 156
 
7.9%
인 152
 
7.7%
시 152
 
7.7%
천 151
 
7.7%
광 151
 
7.7%
역 150
 
7.6%
구 150
 
7.6%
라 69
 
3.5%
호 65
 
3.3%
Other values (138) 609
30.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2022-09-06 00:00:00
Maximum2022-09-06 00:00:00
2024-01-29T01:59:43.074658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:59:43.142907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-29T01:59:41.000461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-29T01:59:41.086510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:59:41.155917image/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

연번업소명소재지(도로명)소재지(지번)데이터기준일자
01현대각인천광역시 서구 원적로124번길 16, 201호 (가좌동, 현대아파트 상가동)인천광역시 서구 가좌동 81-24 현대아파트 상가동 201호2022-09-06
12신태흥각인천광역시 서구 건지로250번길 29-4 (가좌동)인천광역시 서구 가좌동 139-62022-09-06
23영인각인천광역시 서구 건지로334번길 2-1 (가좌동,외 1필지)인천광역시 서구 가좌동 174-37 외 1필지2022-09-06
34백리향인천광역시 서구 고래울로28번길 20 (가좌동)인천광역시 서구 가좌동 342-82022-09-06
45대명관인천광역시 서구 고래울로 27-1 (가좌동)인천광역시 서구 가좌동 350-52022-09-06
56호돌이반점인천광역시 서구 탁옥로97번길 16-3 (심곡동)인천광역시 서구 심곡동 283-72022-09-06
67차이홍인천광역시 서구 신현로 29-1, 1층 (신현동, 285-39 (1층))인천광역시 서구 신현동 285-39 (1층)2022-09-06
78대성각인천광역시 서구 건지로153번길 4 (석남동, 223-678)인천광역시 서구 석남동 223-6782022-09-06
89희래등인천광역시 서구 탁옥로86번길 6-1 (심곡동)인천광역시 서구 심곡동 302-22022-09-06
910수 차이나인천광역시 서구 석남로 79 (석남동)인천광역시 서구 석남동 582-342022-09-06
연번업소명소재지(도로명)소재지(지번)데이터기준일자
140141천리향양꼬치인천광역시 서구 봉오재3로 115, 화방주차타워 114호 (가정동)인천광역시 서구 가정동 616-3 화방주차타워 114호2022-09-06
141142황산인천광역시 서구 염곡로464번길 15, 122호 (가정동)인천광역시 서구 가정동 619-7 122호2022-09-06
142143만억마라탕양꼬치인천광역시 서구 원당대로839번길 35-1, 근생동 B07호B08호 (원당동)인천광역시 서구 원당동 810-112022-09-06
143144만나네마라탕인천광역시 서구 서곶로255번길 14-6, 1층 일부 (심곡동)인천광역시 서구 심곡동 260-6 1층 일부2022-09-06
144145샤랄라인천광역시 서구 청라에메랄드로102번길 8, 우성메디피아 103호 (청라동)인천광역시 서구 청라동 167-4 우성메디피아 103호2022-09-06
145146핫한마라탕인천광역시 서구 승학로 313-1, 1층일부 (연희동)인천광역시 서구 연희동 739-42022-09-06
146147탕화쿵푸마라탕인천광역시 서구 염곡로498번안길 11-4, 1층 (가정동)인천광역시 서구 가정동 614-2 1층2022-09-06
147148마부마라탕인천광역시 서구 청라커낼로260번길 27, 청라한신더휴커낼웨이 152호 (청라동)인천광역시 서구 청라동 157-21 청라한신더휴커낼웨이2022-09-06
148149천월인천광역시 서구 청라커낼로288번길 8-10, 청라 봄 빌딩 123호 (청라동)인천광역시 서구 청라동 157-6 청라 봄 빌딩 123호2022-09-06
149150교동짬뽕인천광역시 서구 북항로32번안길 5, 1층 일부호 (원창동)인천광역시 서구 원창동 381-54 1층 일부호2022-09-06