Overview

Dataset statistics

Number of variables7
Number of observations285
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory57.4 B

Variable types

Numeric1
Categorical3
Text2
DateTime1

Dataset

Description인천광역시 중구 안심식당 지정업소에 대한 정보입니다. 파일명 인천광역시 중구 안심식당 지정업소 현황 내용 업소명, 주소, 지정일 등
Author공공데이터포털
URLhttps://www.data.go.kr/data/15120573/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업종명 is highly overall correlated with 업태명High correlation
업태명 is highly overall correlated with 업종명High correlation
업종명 is highly imbalanced (81.5%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 10:08:16.695884
Analysis finished2024-04-21 10:08:18.365100
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct285
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143
Minimum1
Maximum285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-21T19:08:18.558038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.2
Q172
median143
Q3214
95-th percentile270.8
Maximum285
Range284
Interquartile range (IQR)142

Descriptive statistics

Standard deviation82.416625
Coefficient of variation (CV)0.57634003
Kurtosis-1.2
Mean143
Median Absolute Deviation (MAD)71
Skewness0
Sum40755
Variance6792.5
MonotonicityStrictly increasing
2024-04-21T19:08:18.978313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
189 1
 
0.4%
195 1
 
0.4%
194 1
 
0.4%
193 1
 
0.4%
192 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
188 1
 
0.4%
197 1
 
0.4%
Other values (275) 275
96.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
285 1
0.4%
284 1
0.4%
283 1
0.4%
282 1
0.4%
281 1
0.4%
280 1
0.4%
279 1
0.4%
278 1
0.4%
277 1
0.4%
276 1
0.4%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일반음식점
277 
휴게음식점
 
8

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 277
97.2%
휴게음식점 8
 
2.8%

Length

2024-04-21T19:08:19.387499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:08:19.684316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 277
97.2%
휴게음식점 8
 
2.8%

업태명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
한식
132 
일식
21 
기타
20 
중국식
19 
횟집
17 
Other values (12)
76 

Length

Max length8
Median length2
Mean length2.9017544
Min length2

Unique

Unique3 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 132
46.3%
일식 21
 
7.4%
기타 20
 
7.0%
중국식 19
 
6.7%
횟집 17
 
6.0%
식육(숯불구이) 16
 
5.6%
경양식 12
 
4.2%
분식 11
 
3.9%
뷔페식 10
 
3.5%
호프/통닭 8
 
2.8%
Other values (7) 19
 
6.7%

Length

2024-04-21T19:08:20.030551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 132
46.3%
일식 21
 
7.4%
기타 20
 
7.0%
중국식 19
 
6.7%
횟집 17
 
6.0%
식육(숯불구이 16
 
5.6%
경양식 12
 
4.2%
분식 11
 
3.9%
뷔페식 10
 
3.5%
호프/통닭 8
 
2.8%
Other values (7) 19
 
6.7%

업소명
Text

Distinct282
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-21T19:08:20.946650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length15
Mean length5.6736842
Min length1

Characters and Unicode

Total characters1617
Distinct characters370
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

Unique279 ?
Unique (%)97.9%

Sample

1st row오성식당
2nd row원조먹거리식당
3rd row해촌
4th row본죽앤비빔밥
5th row제주솥뚜껌삼겹살
ValueCountFrequency (%)
영종하늘도시점 4
 
1.2%
오복식당 2
 
0.6%
달쭈꾸미 2
 
0.6%
장터삼겹살 2
 
0.6%
하늘도시점 2
 
0.6%
본죽 2
 
0.6%
아라담 2
 
0.6%
2호점 2
 
0.6%
영종도점 2
 
0.6%
신이내린족발과보쌈 2
 
0.6%
Other values (310) 310
93.4%
2024-04-21T19:08:22.024833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
3.0%
점 33
 
2.0%
이 29
 
1.8%
집 26
 
1.6%
식 25
 
1.5%
미 22
 
1.4%
영 20
 
1.2%
수 20
 
1.2%
당 19
 
1.2%
도 18
 
1.1%
Other values (360) 1357
83.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1528
94.5%
Space Separator 48
 
3.0%
Uppercase Letter 15
 
0.9%
Decimal Number 13
 
0.8%
Other Punctuation 5
 
0.3%
Lowercase Letter 3
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 33
 
2.2%
이 29
 
1.9%
집 26
 
1.7%
식 25
 
1.6%
미 22
 
1.4%
영 20
 
1.3%
수 20
 
1.3%
당 19
 
1.2%
도 18
 
1.2%
국 18
 
1.2%
Other values (333) 1298
84.9%
Uppercase Letter
ValueCountFrequency (%)
C 3
20.0%
T 2
13.3%
S 1
 
6.7%
P 1
 
6.7%
F 1
 
6.7%
K 1
 
6.7%
E 1
 
6.7%
A 1
 
6.7%
H 1
 
6.7%
J 1
 
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
2 5
38.5%
1 2
 
15.4%
3 2
 
15.4%
5 2
 
15.4%
6 1
 
7.7%
0 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
t 1
33.3%
r 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
! 2
40.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1529
94.6%
Common 70
 
4.3%
Latin 18
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 33
 
2.2%
이 29
 
1.9%
집 26
 
1.7%
식 25
 
1.6%
미 22
 
1.4%
영 20
 
1.3%
수 20
 
1.3%
당 19
 
1.2%
도 18
 
1.2%
국 18
 
1.2%
Other values (334) 1299
85.0%
Latin
ValueCountFrequency (%)
C 3
16.7%
T 2
 
11.1%
S 1
 
5.6%
P 1
 
5.6%
F 1
 
5.6%
K 1
 
5.6%
s 1
 
5.6%
t 1
 
5.6%
r 1
 
5.6%
E 1
 
5.6%
Other values (5) 5
27.8%
Common
ValueCountFrequency (%)
48
68.6%
2 5
 
7.1%
& 3
 
4.3%
) 2
 
2.9%
( 2
 
2.9%
1 2
 
2.9%
3 2
 
2.9%
! 2
 
2.9%
5 2
 
2.9%
6 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1528
94.5%
ASCII 88
 
5.4%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
54.5%
2 5
 
5.7%
& 3
 
3.4%
C 3
 
3.4%
) 2
 
2.3%
( 2
 
2.3%
T 2
 
2.3%
1 2
 
2.3%
3 2
 
2.3%
! 2
 
2.3%
Other values (16) 17
 
19.3%
Hangul
ValueCountFrequency (%)
점 33
 
2.2%
이 29
 
1.9%
집 26
 
1.7%
식 25
 
1.6%
미 22
 
1.4%
영 20
 
1.3%
수 20
 
1.3%
당 19
 
1.2%
도 18
 
1.2%
국 18
 
1.2%
Other values (333) 1298
84.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct273
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-21T19:08:22.834619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length30.607018
Min length17

Characters and Unicode

Total characters8723
Distinct characters183
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

Unique264 ?
Unique (%)92.6%

Sample

1st row인천광역시 중구 연안부두로 16 (항동7가)
2nd row인천광역시 중구 연안부두로 16 (항동7가)
3rd row인천광역시 중구 연안부두로 16 (항동7가)
4th row인천광역시 중구 신포로 18-1 (신생동)
5th row인천광역시 중구 신포로31번길 6, 1,2층 (관동3가)
ValueCountFrequency (%)
인천광역시 285
 
16.4%
중구 285
 
16.4%
1층 90
 
5.2%
운서동 58
 
3.3%
중산동 37
 
2.1%
2층 20
 
1.2%
운남동 20
 
1.2%
항동7가 14
 
0.8%
을왕동 14
 
0.8%
6 13
 
0.7%
Other values (401) 899
51.8%
2024-04-21T19:08:23.912076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1453
 
16.7%
1 420
 
4.8%
중 368
 
4.2%
인 308
 
3.5%
시 308
 
3.5%
동 298
 
3.4%
천 297
 
3.4%
역 288
 
3.3%
광 288
 
3.3%
구 286
 
3.3%
Other values (173) 4409
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4930
56.5%
Decimal Number 1471
 
16.9%
Space Separator 1453
 
16.7%
Open Punctuation 282
 
3.2%
Close Punctuation 281
 
3.2%
Other Punctuation 218
 
2.5%
Dash Punctuation 62
 
0.7%
Uppercase Letter 16
 
0.2%
Math Symbol 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 368
 
7.5%
인 308
 
6.2%
시 308
 
6.2%
동 298
 
6.0%
천 297
 
6.0%
역 288
 
5.8%
광 288
 
5.8%
구 286
 
5.8%
로 283
 
5.7%
층 151
 
3.1%
Other values (149) 2055
41.7%
Decimal Number
ValueCountFrequency (%)
1 420
28.6%
2 223
15.2%
3 158
 
10.7%
4 147
 
10.0%
0 125
 
8.5%
5 102
 
6.9%
7 101
 
6.9%
6 83
 
5.6%
9 60
 
4.1%
8 52
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
S 4
25.0%
B 3
18.8%
J 3
18.8%
L 2
12.5%
F 1
 
6.2%
M 1
 
6.2%
P 1
 
6.2%
K 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1453
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Close Punctuation
ValueCountFrequency (%)
) 281
100.0%
Other Punctuation
ValueCountFrequency (%)
, 218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4930
56.5%
Common 3777
43.3%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 368
 
7.5%
인 308
 
6.2%
시 308
 
6.2%
동 298
 
6.0%
천 297
 
6.0%
역 288
 
5.8%
광 288
 
5.8%
구 286
 
5.8%
로 283
 
5.7%
층 151
 
3.1%
Other values (149) 2055
41.7%
Common
ValueCountFrequency (%)
1453
38.5%
1 420
 
11.1%
( 282
 
7.5%
) 281
 
7.4%
2 223
 
5.9%
, 218
 
5.8%
3 158
 
4.2%
4 147
 
3.9%
0 125
 
3.3%
5 102
 
2.7%
Other values (6) 368
 
9.7%
Latin
ValueCountFrequency (%)
S 4
25.0%
B 3
18.8%
J 3
18.8%
L 2
12.5%
F 1
 
6.2%
M 1
 
6.2%
P 1
 
6.2%
K 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4930
56.5%
ASCII 3793
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1453
38.3%
1 420
 
11.1%
( 282
 
7.4%
) 281
 
7.4%
2 223
 
5.9%
, 218
 
5.7%
3 158
 
4.2%
4 147
 
3.9%
0 125
 
3.3%
5 102
 
2.7%
Other values (14) 384
 
10.1%
Hangul
ValueCountFrequency (%)
중 368
 
7.5%
인 308
 
6.2%
시 308
 
6.2%
동 298
 
6.0%
천 297
 
6.0%
역 288
 
5.8%
광 288
 
5.8%
구 286
 
5.8%
로 283
 
5.7%
층 151
 
3.1%
Other values (149) 2055
41.7%

지정일
Date

Distinct67
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2020-09-03 00:00:00
Maximum2023-08-03 00:00:00
2024-04-21T19:08:24.148886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T19:08:24.395677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-08-03
285 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-03
2nd row2023-08-03
3rd row2023-08-03
4th row2023-08-03
5th row2023-08-03

Common Values

ValueCountFrequency (%)
2023-08-03 285
100.0%

Length

2024-04-21T19:08:24.612023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T19:08:24.767382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-03 285
100.0%

Interactions

2024-04-21T19:08:17.514954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T19:08:24.866102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명업태명지정일
연번1.0000.3980.7640.871
업종명0.3981.0001.0000.291
업태명0.7641.0001.0000.000
지정일0.8710.2910.0001.000
2024-04-21T19:08:25.017305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.973
업태명0.9731.000
2024-04-21T19:08:25.155235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명업태명
연번1.0000.3010.422
업종명0.3011.0000.973
업태명0.4220.9731.000

Missing values

2024-04-21T19:08:17.843876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T19:08:18.220957image/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

연번업종명업태명업소명소재지지정일데이터기준일자
01일반음식점한식오성식당인천광역시 중구 연안부두로 16 (항동7가)2020-09-032023-08-03
12일반음식점한식원조먹거리식당인천광역시 중구 연안부두로 16 (항동7가)2020-09-032023-08-03
23일반음식점한식해촌인천광역시 중구 연안부두로 16 (항동7가)2020-09-032023-08-03
34일반음식점한식본죽앤비빔밥인천광역시 중구 신포로 18-1 (신생동)2020-09-032023-08-03
45일반음식점한식제주솥뚜껌삼겹살인천광역시 중구 신포로31번길 6, 1,2층 (관동3가)2020-09-032023-08-03
56일반음식점한식가조인천광역시 중구 신포로46번길 31 (내동)2020-09-032023-08-03
67일반음식점한식신포 화로구이인천광역시 중구 신포로27번길 16 (관동3가)2020-09-032023-08-03
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