Overview

Dataset statistics

Number of variables6
Number of observations68
Missing cells3
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory50.9 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description인천광역시 부평구 맛있는 집(맛집) 현황 데이터는 맛집 업소 명, 소재지, 지정 메뉴, 전화번호, 업태에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103411&srcSe=7661IVAWM27C61E190

Alerts

업태 is highly imbalanced (50.1%)Imbalance
전화번호 has 3 (4.4%) missing valuesMissing
연번 has unique valuesUnique
업 소 명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:08:19.007700
Analysis finished2024-01-28 06:08:19.548814
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.5
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-28T15:08:19.600917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.35
Q117.75
median34.5
Q351.25
95-th percentile64.65
Maximum68
Range67
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation19.77372
Coefficient of variation (CV)0.5731513
Kurtosis-1.2
Mean34.5
Median Absolute Deviation (MAD)17
Skewness0
Sum2346
Variance391
MonotonicityStrictly increasing
2024-01-28T15:08:19.702623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
45 1
 
1.5%
51 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
44 1
 
1.5%
36 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
68 1
1.5%
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%

업 소 명
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-01-28T15:08:19.917650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length6.1764706
Min length2

Characters and Unicode

Total characters420
Distinct characters197
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row더히든키친
2nd row에픽
3rd row우프
4th row에그브레이크
5th row세븐스플로어
ValueCountFrequency (%)
더히든키친 1
 
1.4%
들내음 1
 
1.4%
명가한방삼계탕 1
 
1.4%
변사또남원추어탕 1
 
1.4%
몽순이해물탕 1
 
1.4%
곱창마당 1
 
1.4%
오구당당논우렁쌈밥 1
 
1.4%
에픽 1
 
1.4%
아우라지삼산점 1
 
1.4%
밀채바지락칼국수 1
 
1.4%
Other values (62) 62
86.1%
2024-01-28T15:08:20.255633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 12
 
2.9%
이 9
 
2.1%
부 8
 
1.9%
가 7
 
1.7%
리 7
 
1.7%
장 7
 
1.7%
구 7
 
1.7%
당 7
 
1.7%
우 7
 
1.7%
해 6
 
1.4%
Other values (187) 343
81.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
93.6%
Decimal Number 8
 
1.9%
Uppercase Letter 7
 
1.7%
Space Separator 4
 
1.0%
Open Punctuation 3
 
0.7%
Close Punctuation 3
 
0.7%
Other Symbol 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 12
 
3.1%
이 9
 
2.3%
부 8
 
2.0%
가 7
 
1.8%
리 7
 
1.8%
장 7
 
1.8%
구 7
 
1.8%
당 7
 
1.8%
우 7
 
1.8%
해 6
 
1.5%
Other values (169) 316
80.4%
Decimal Number
ValueCountFrequency (%)
8 2
25.0%
2 1
12.5%
9 1
12.5%
1 1
12.5%
7 1
12.5%
5 1
12.5%
3 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
O 1
14.3%
R 1
14.3%
E 1
14.3%
P 1
14.3%
L 1
14.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
93.6%
Common 19
 
4.5%
Latin 7
 
1.7%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 12
 
3.1%
이 9
 
2.3%
부 8
 
2.0%
가 7
 
1.8%
리 7
 
1.8%
장 7
 
1.8%
구 7
 
1.8%
당 7
 
1.8%
우 7
 
1.8%
해 6
 
1.5%
Other values (169) 316
80.4%
Common
ValueCountFrequency (%)
4
21.1%
( 3
15.8%
) 3
15.8%
8 2
10.5%
' 1
 
5.3%
2 1
 
5.3%
9 1
 
5.3%
1 1
 
5.3%
7 1
 
5.3%
5 1
 
5.3%
Latin
ValueCountFrequency (%)
A 2
28.6%
O 1
14.3%
R 1
14.3%
E 1
14.3%
P 1
14.3%
L 1
14.3%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 392
93.3%
ASCII 26
 
6.2%
None 1
 
0.2%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 12
 
3.1%
이 9
 
2.3%
부 8
 
2.0%
가 7
 
1.8%
리 7
 
1.8%
장 7
 
1.8%
구 7
 
1.8%
당 7
 
1.8%
우 7
 
1.8%
해 6
 
1.5%
Other values (168) 315
80.4%
ASCII
ValueCountFrequency (%)
4
15.4%
( 3
11.5%
) 3
11.5%
8 2
 
7.7%
A 2
 
7.7%
O 1
 
3.8%
R 1
 
3.8%
E 1
 
3.8%
P 1
 
3.8%
' 1
 
3.8%
Other values (7) 7
26.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
家 1
100.0%

소재지
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-01-28T15:08:20.493769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length27.794118
Min length20

Characters and Unicode

Total characters1890
Distinct characters97
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 신트리로22번길 15-14 (부평동, 1층 일부)
2nd row인천광역시 부평구 경원대로1363번길 8 (부평동, 1층)
3rd row인천광역시 부평구 충선로203번길 12, 2층 (삼산동, 뉴존프라자 201호)
4th row인천광역시 부평구 부평대로39-5(부평동, 1층)
5th row인천광역시 부평구 부평대로 15, 7층 (부평동, 부평서파빌딩)
ValueCountFrequency (%)
인천광역시 68
19.7%
부평구 67
19.4%
부평동 16
 
4.6%
1층 7
 
2.0%
마장로 7
 
2.0%
산곡동 6
 
1.7%
청천동 5
 
1.4%
2층 4
 
1.2%
갈산동 4
 
1.2%
장제로 4
 
1.2%
Other values (135) 158
45.7%
2024-01-28T15:08:20.843679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
280
 
14.8%
부 121
 
6.4%
평 107
 
5.7%
천 76
 
4.0%
1 75
 
4.0%
동 72
 
3.8%
광 69
 
3.7%
시 69
 
3.7%
인 68
 
3.6%
) 68
 
3.6%
Other values (87) 885
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1118
59.2%
Decimal Number 302
 
16.0%
Space Separator 280
 
14.8%
Close Punctuation 68
 
3.6%
Open Punctuation 68
 
3.6%
Other Punctuation 36
 
1.9%
Dash Punctuation 17
 
0.9%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 121
 
10.8%
평 107
 
9.6%
천 76
 
6.8%
동 72
 
6.4%
광 69
 
6.2%
시 69
 
6.2%
인 68
 
6.1%
구 68
 
6.1%
역 68
 
6.1%
로 67
 
6.0%
Other values (71) 333
29.8%
Decimal Number
ValueCountFrequency (%)
1 75
24.8%
2 47
15.6%
3 34
11.3%
7 28
 
9.3%
5 27
 
8.9%
4 27
 
8.9%
0 22
 
7.3%
6 18
 
6.0%
9 14
 
4.6%
8 10
 
3.3%
Space Separator
ValueCountFrequency (%)
280
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1118
59.2%
Common 772
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 121
 
10.8%
평 107
 
9.6%
천 76
 
6.8%
동 72
 
6.4%
광 69
 
6.2%
시 69
 
6.2%
인 68
 
6.1%
구 68
 
6.1%
역 68
 
6.1%
로 67
 
6.0%
Other values (71) 333
29.8%
Common
ValueCountFrequency (%)
280
36.3%
1 75
 
9.7%
) 68
 
8.8%
( 68
 
8.8%
2 47
 
6.1%
, 36
 
4.7%
3 34
 
4.4%
7 28
 
3.6%
5 27
 
3.5%
4 27
 
3.5%
Other values (6) 82
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1118
59.2%
ASCII 772
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
280
36.3%
1 75
 
9.7%
) 68
 
8.8%
( 68
 
8.8%
2 47
 
6.1%
, 36
 
4.7%
3 34
 
4.4%
7 28
 
3.6%
5 27
 
3.5%
4 27
 
3.5%
Other values (6) 82
 
10.6%
Hangul
ValueCountFrequency (%)
부 121
 
10.8%
평 107
 
9.6%
천 76
 
6.8%
동 72
 
6.4%
광 69
 
6.2%
시 69
 
6.2%
인 68
 
6.1%
구 68
 
6.1%
역 68
 
6.1%
로 67
 
6.0%
Other values (71) 333
29.8%

지정메뉴
Text

Distinct64
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-01-28T15:08:21.055332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.5441176
Min length3

Characters and Unicode

Total characters377
Distinct characters167
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)89.7%

Sample

1st row바질페스토파스타
2nd row마레크레마
3rd row만조리조또
4th row에그베네딕트
5th row루꼴라감베리피자
ValueCountFrequency (%)
추어탕 3
 
4.1%
오리주물럭 2
 
2.7%
해물탕 2
 
2.7%
꿩만두 1
 
1.4%
한우생등심 1
 
1.4%
모듬생선찜 1
 
1.4%
복분자장어구이 1
 
1.4%
해장국 1
 
1.4%
한우꽃등심 1
 
1.4%
오리,누룽지백숙 1
 
1.4%
Other values (59) 59
80.8%
2024-01-28T15:08:21.370099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 17
 
4.5%
리 12
 
3.2%
물 10
 
2.7%
지 10
 
2.7%
해 9
 
2.4%
오 8
 
2.1%
장 8
 
2.1%
, 8
 
2.1%
국 6
 
1.6%
비 6
 
1.6%
Other values (157) 283
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 361
95.8%
Other Punctuation 9
 
2.4%
Space Separator 5
 
1.3%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 17
 
4.7%
리 12
 
3.3%
물 10
 
2.8%
지 10
 
2.8%
해 9
 
2.5%
오 8
 
2.2%
장 8
 
2.2%
국 6
 
1.7%
비 6
 
1.7%
갈 6
 
1.7%
Other values (152) 269
74.5%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 361
95.8%
Common 16
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 17
 
4.7%
리 12
 
3.3%
물 10
 
2.8%
지 10
 
2.8%
해 9
 
2.5%
오 8
 
2.2%
장 8
 
2.2%
국 6
 
1.7%
비 6
 
1.7%
갈 6
 
1.7%
Other values (152) 269
74.5%
Common
ValueCountFrequency (%)
, 8
50.0%
5
31.2%
& 1
 
6.2%
) 1
 
6.2%
( 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 361
95.8%
ASCII 16
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 17
 
4.7%
리 12
 
3.3%
물 10
 
2.8%
지 10
 
2.8%
해 9
 
2.5%
오 8
 
2.2%
장 8
 
2.2%
국 6
 
1.7%
비 6
 
1.7%
갈 6
 
1.7%
Other values (152) 269
74.5%
ASCII
ValueCountFrequency (%)
, 8
50.0%
5
31.2%
& 1
 
6.2%
) 1
 
6.2%
( 1
 
6.2%

전화번호
Text

MISSING 

Distinct65
Distinct (%)100.0%
Missing3
Missing (%)4.4%
Memory size676.0 B
2024-01-28T15:08:21.570148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters780
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

Unique65 ?
Unique (%)100.0%

Sample

1st row032-272-7276
2nd row032-512-6692
3rd row032-515-1154
4th row032-512-1982
5th row032-503-2648
ValueCountFrequency (%)
032-508-0092 1
 
1.5%
032-517-5501 1
 
1.5%
032-508-0120 1
 
1.5%
032-505-4366 1
 
1.5%
032-525-6600 1
 
1.5%
032-507-5077 1
 
1.5%
032-527-8118 1
 
1.5%
032-330-8277 1
 
1.5%
032-507-9615 1
 
1.5%
032-519-4155 1
 
1.5%
Other values (55) 55
84.6%
2024-01-28T15:08:21.884910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 130
16.7%
2 125
16.0%
0 118
15.1%
3 113
14.5%
5 93
11.9%
1 46
 
5.9%
7 42
 
5.4%
6 32
 
4.1%
9 28
 
3.6%
8 27
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 650
83.3%
Dash Punctuation 130
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 125
19.2%
0 118
18.2%
3 113
17.4%
5 93
14.3%
1 46
 
7.1%
7 42
 
6.5%
6 32
 
4.9%
9 28
 
4.3%
8 27
 
4.2%
4 26
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 130
16.7%
2 125
16.0%
0 118
15.1%
3 113
14.5%
5 93
11.9%
1 46
 
5.9%
7 42
 
5.4%
6 32
 
4.1%
9 28
 
3.6%
8 27
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 130
16.7%
2 125
16.0%
0 118
15.1%
3 113
14.5%
5 93
11.9%
1 46
 
5.9%
7 42
 
5.4%
6 32
 
4.1%
9 28
 
3.6%
8 27
 
3.5%

업태
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
한식
54 
양식
9 
중식
 
3
일식
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한식 54
79.4%
양식 9
 
13.2%
중식 3
 
4.4%
일식 2
 
2.9%

Length

2024-01-28T15:08:21.991921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:08:22.070626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 54
79.4%
양식 9
 
13.2%
중식 3
 
4.4%
일식 2
 
2.9%

Interactions

2024-01-28T15:08:19.361726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:08:22.331573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업 소 명소재지지정메뉴전화번호업태
연번1.0001.0001.0000.7581.0000.720
업 소 명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
지정메뉴0.7581.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
업태0.7201.0001.0001.0001.0001.000
2024-01-28T15:08:22.401357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태
연번1.0000.498
업태0.4981.000

Missing values

2024-01-28T15:08:19.446071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:08:19.518851image/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

연번업 소 명소재지지정메뉴전화번호업태
01더히든키친인천광역시 부평구 신트리로22번길 15-14 (부평동, 1층 일부)바질페스토파스타032-272-7276양식
12에픽인천광역시 부평구 경원대로1363번길 8 (부평동, 1층)마레크레마032-512-6692양식
23우프인천광역시 부평구 충선로203번길 12, 2층 (삼산동, 뉴존프라자 201호)만조리조또032-515-1154양식
34에그브레이크인천광역시 부평구 부평대로39-5(부평동, 1층)에그베네딕트<NA>양식
45세븐스플로어인천광역시 부평구 부평대로 15, 7층 (부평동, 부평서파빌딩)루꼴라감베리피자<NA>양식
56아라페로(A L'APERO)인천광역시 부평구 길주로595번길 21 (갈산동, 1층)오리가슴살마그레트&크림밤<NA>양식
671982삼계정인천광역시 부평구 안남로417번길 20, 2층 (청천동)녹두삼계탕032-512-1982한식
78참마시무화과오리인천광역시 부평구 마장로324번길 8-7, 2층 (산곡동)오리주물럭032-503-2648한식
89들내음 들깨칼국수인천광역시 부평구 부흥로 257-7 (부평동)팥칼국수032-515-4151한식
910샐돈키친인천광역시 부평구 갈월서로 46, 상가동 지층 1호 (갈산동, 태화아파트)커플카츠032-512-5036양식
연번업 소 명소재지지정메뉴전화번호업태
5859(주)온누리푸드온누리장작구이인천광역시 부평구 동암산로 10 (십정동)오리훈제032-526-9292한식
5960전통복회관인천광역시 부평구 주부토로 29 (부평동)복어지리032-527-3300일식
6061신선설농탕 부평점인천광역시 부평구 장제로 206 (부평동)설렁탕032-514-3966한식
6162감나무집참옻닭오리전문점인천광역시 부평구 부평문화로115번길 17 (부평동)참옻닭032-507-6769한식
6263흥남면옥인천광역시 부평구 마장로 138 (산곡동)소숯불갈비032-504-9332한식
6364부일식당인천광역시 부평구 경원대로 1270 (부평동)한우생등심032-522-1700한식
6465함경꿩만두인천광역시 부평구 백범로468번길 32 (십정동)꿩만두032-434-2759한식
6566철원양평해장국인천광역시 부평구 청농로 2 (청천동)해장국032-501-0353한식
6667소금빛풍천장어구이인천광역시 부평구 길주로547번길 5 (갈산동)복분자장어구이032-513-9995한식
6768옥천식당인천광역시 부평구 안남로 447 (청천동)도가니탕032-502-2623한식