Overview

Dataset statistics

Number of variables5
Number of observations197
Missing cells23
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory41.7 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description부산광역시북구_안심식당_20230807
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15088397

Alerts

전화번호 has 23 (11.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:05:54.348362
Analysis finished2023-12-10 16:05:54.839135
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99
Minimum1
Maximum197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T01:05:54.909003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.8
Q150
median99
Q3148
95-th percentile187.2
Maximum197
Range196
Interquartile range (IQR)98

Descriptive statistics

Standard deviation57.013156
Coefficient of variation (CV)0.57589047
Kurtosis-1.2
Mean99
Median Absolute Deviation (MAD)49
Skewness0
Sum19503
Variance3250.5
MonotonicityStrictly increasing
2023-12-11T01:05:55.036842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
125 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
Other values (187) 187
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%

사업장명
Text

Distinct195
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T01:05:55.267732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length6.2791878
Min length2

Characters and Unicode

Total characters1237
Distinct characters303
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)98.0%

Sample

1st row날마다대박나는집
2nd row동백삼계탕 구포직영점
3rd row침사추이
4th row덕천복집
5th row수담
ValueCountFrequency (%)
화명점 6
 
2.7%
덕천점 5
 
2.2%
부산화명점 2
 
0.9%
기장산곰장어 2
 
0.9%
가얏골감자탕 2
 
0.9%
스시 1
 
0.4%
사랑도횟집 1
 
0.4%
백소정화명점 1
 
0.4%
육가원 1
 
0.4%
왕대구탕 1
 
0.4%
Other values (201) 201
90.1%
2023-12-11T01:05:55.618160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 53
 
4.3%
화 35
 
2.8%
명 33
 
2.7%
26
 
2.1%
이 25
 
2.0%
덕 23
 
1.9%
집 21
 
1.7%
가 21
 
1.7%
천 20
 
1.6%
산 18
 
1.5%
Other values (293) 962
77.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1170
94.6%
Space Separator 26
 
2.1%
Decimal Number 16
 
1.3%
Close Punctuation 7
 
0.6%
Open Punctuation 7
 
0.6%
Uppercase Letter 5
 
0.4%
Lowercase Letter 4
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 53
 
4.5%
화 35
 
3.0%
명 33
 
2.8%
이 25
 
2.1%
덕 23
 
2.0%
집 21
 
1.8%
가 21
 
1.8%
천 20
 
1.7%
산 18
 
1.5%
부 17
 
1.5%
Other values (274) 904
77.3%
Decimal Number
ValueCountFrequency (%)
0 4
25.0%
3 4
25.0%
1 4
25.0%
9 2
12.5%
7 1
 
6.2%
5 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
B 1
20.0%
H 1
20.0%
C 1
20.0%
M 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
50.0%
n 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1170
94.6%
Common 58
 
4.7%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 53
 
4.5%
화 35
 
3.0%
명 33
 
2.8%
이 25
 
2.1%
덕 23
 
2.0%
집 21
 
1.8%
가 21
 
1.8%
천 20
 
1.7%
산 18
 
1.5%
부 17
 
1.5%
Other values (274) 904
77.3%
Common
ValueCountFrequency (%)
26
44.8%
) 7
 
12.1%
( 7
 
12.1%
0 4
 
6.9%
3 4
 
6.9%
1 4
 
6.9%
9 2
 
3.4%
' 1
 
1.7%
7 1
 
1.7%
& 1
 
1.7%
Latin
ValueCountFrequency (%)
a 2
22.2%
n 1
11.1%
o 1
11.1%
S 1
11.1%
B 1
11.1%
H 1
11.1%
C 1
11.1%
M 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1170
94.6%
ASCII 67
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 53
 
4.5%
화 35
 
3.0%
명 33
 
2.8%
이 25
 
2.1%
덕 23
 
2.0%
집 21
 
1.8%
가 21
 
1.8%
천 20
 
1.7%
산 18
 
1.5%
부 17
 
1.5%
Other values (274) 904
77.3%
ASCII
ValueCountFrequency (%)
26
38.8%
) 7
 
10.4%
( 7
 
10.4%
0 4
 
6.0%
3 4
 
6.0%
1 4
 
6.0%
9 2
 
3.0%
a 2
 
3.0%
n 1
 
1.5%
o 1
 
1.5%
Other values (9) 9
 
13.4%

안심식당 지정일
Date

Distinct58
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2020-08-04 00:00:00
Maximum2023-07-13 00:00:00
2023-12-11T01:05:55.730367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:05:55.837520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주소1
Text

Distinct182
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T01:05:56.111042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length23.025381
Min length14

Characters and Unicode

Total characters4536
Distinct characters72
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

Unique171 ?
Unique (%)86.8%

Sample

1st row부산광역시 북구 만덕3로 9, 1층(만덕동)
2nd row부산광역시 북구 백양대로 1034
3rd row부산광역시 북구 금곡대로 230
4th row부산광역시 북구 기찰로 41-2
5th row부산광역시 북구 기찰로 41
ValueCountFrequency (%)
부산광역시 197
21.6%
북구 197
21.6%
화명동 68
 
7.5%
덕천동 25
 
2.7%
금곡대로 15
 
1.6%
금곡대로285번길 15
 
1.6%
금곡대로303번길 11
 
1.2%
구포동 10
 
1.1%
덕천1길 9
 
1.0%
만덕고개길 7
 
0.8%
Other values (203) 357
39.2%
2023-12-11T01:05:56.536863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
714
 
15.7%
구 216
 
4.8%
시 208
 
4.6%
산 200
 
4.4%
부 197
 
4.3%
광 197
 
4.3%
역 197
 
4.3%
북 197
 
4.3%
로 177
 
3.9%
1 162
 
3.6%
Other values (62) 2071
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2766
61.0%
Decimal Number 742
 
16.4%
Space Separator 714
 
15.7%
Open Punctuation 144
 
3.2%
Close Punctuation 143
 
3.2%
Dash Punctuation 17
 
0.4%
Other Punctuation 8
 
0.2%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 216
 
7.8%
시 208
 
7.5%
산 200
 
7.2%
부 197
 
7.1%
광 197
 
7.1%
역 197
 
7.1%
북 197
 
7.1%
로 177
 
6.4%
동 150
 
5.4%
길 128
 
4.6%
Other values (45) 899
32.5%
Decimal Number
ValueCountFrequency (%)
1 162
21.8%
2 103
13.9%
3 83
11.2%
8 73
9.8%
0 69
9.3%
5 58
 
7.8%
6 57
 
7.7%
7 53
 
7.1%
4 46
 
6.2%
9 38
 
5.1%
Space Separator
ValueCountFrequency (%)
714
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2766
61.0%
Common 1769
39.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 216
 
7.8%
시 208
 
7.5%
산 200
 
7.2%
부 197
 
7.1%
광 197
 
7.1%
역 197
 
7.1%
북 197
 
7.1%
로 177
 
6.4%
동 150
 
5.4%
길 128
 
4.6%
Other values (45) 899
32.5%
Common
ValueCountFrequency (%)
714
40.4%
1 162
 
9.2%
( 144
 
8.1%
) 143
 
8.1%
2 103
 
5.8%
3 83
 
4.7%
8 73
 
4.1%
0 69
 
3.9%
5 58
 
3.3%
6 57
 
3.2%
Other values (6) 163
 
9.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2766
61.0%
ASCII 1770
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
714
40.3%
1 162
 
9.2%
( 144
 
8.1%
) 143
 
8.1%
2 103
 
5.8%
3 83
 
4.7%
8 73
 
4.1%
0 69
 
3.9%
5 58
 
3.3%
6 57
 
3.2%
Other values (7) 164
 
9.3%
Hangul
ValueCountFrequency (%)
구 216
 
7.8%
시 208
 
7.5%
산 200
 
7.2%
부 197
 
7.1%
광 197
 
7.1%
역 197
 
7.1%
북 197
 
7.1%
로 177
 
6.4%
동 150
 
5.4%
길 128
 
4.6%
Other values (45) 899
32.5%

전화번호
Text

MISSING 

Distinct173
Distinct (%)99.4%
Missing23
Missing (%)11.7%
Memory size1.7 KiB
2023-12-11T01:05:56.772310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.034483
Min length12

Characters and Unicode

Total characters2094
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)98.9%

Sample

1st row051-336-9292
2nd row051-341-3374
3rd row051-334-5454
4th row051-343-5454
5th row051-332-6408
ValueCountFrequency (%)
051-343-1500 2
 
1.1%
051-335-5190 1
 
0.6%
051-336-9292 1
 
0.6%
051-335-1555 1
 
0.6%
051-363-9111 1
 
0.6%
051-363-0829 1
 
0.6%
051-333-1886 1
 
0.6%
051-343-2715 1
 
0.6%
051-313-8880 1
 
0.6%
051-335-7778 1
 
0.6%
Other values (163) 163
93.7%
2023-12-11T01:05:57.210693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 360
17.2%
- 348
16.6%
0 277
13.2%
1 266
12.7%
5 255
12.2%
6 121
 
5.8%
2 110
 
5.3%
4 98
 
4.7%
9 92
 
4.4%
8 91
 
4.3%
Other values (2) 76
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1745
83.3%
Dash Punctuation 348
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 360
20.6%
0 277
15.9%
1 266
15.2%
5 255
14.6%
6 121
 
6.9%
2 110
 
6.3%
4 98
 
5.6%
9 92
 
5.3%
8 91
 
5.2%
7 75
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 348
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2094
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 360
17.2%
- 348
16.6%
0 277
13.2%
1 266
12.7%
5 255
12.2%
6 121
 
5.8%
2 110
 
5.3%
4 98
 
4.7%
9 92
 
4.4%
8 91
 
4.3%
Other values (2) 76
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2094
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 360
17.2%
- 348
16.6%
0 277
13.2%
1 266
12.7%
5 255
12.2%
6 121
 
5.8%
2 110
 
5.3%
4 98
 
4.7%
9 92
 
4.4%
8 91
 
4.3%
Other values (2) 76
 
3.6%

Interactions

2023-12-11T01:05:54.588276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:05:57.327830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번안심식당 지정일
연번1.0000.984
안심식당 지정일0.9841.000

Missing values

2023-12-11T01:05:54.717264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:05:54.802232image/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

연번사업장명안심식당 지정일주소1전화번호
01날마다대박나는집2020-08-04부산광역시 북구 만덕3로 9, 1층(만덕동)051-336-9292
12동백삼계탕 구포직영점2020-08-11부산광역시 북구 백양대로 1034051-341-3374
23침사추이2020-08-11부산광역시 북구 금곡대로 230<NA>
34덕천복집2020-08-11부산광역시 북구 기찰로 41-2051-334-5454
45수담2020-08-11부산광역시 북구 기찰로 41051-343-5454
56금빛코다리2020-08-11부산광역시 북구 만덕대로 52051-332-6408
67통도야지김치전골2020-08-11부산광역시 북구 금곡대로20번길 11051-332-1440
78삼소통나무2020-08-11부산광역시 북구 중리로 78051-333-4277
89만덕별장2020-08-11부산광역시 북구 구만덕로80번길 39051-332-5292
910오리별장2020-08-11부산광역시 북구 구만덕로80번길 33<NA>
연번사업장명안심식당 지정일주소1전화번호
187188린이네2022-12-13부산광역시 북구 덕천로276번길 60, 117호(만덕동)051-337-5605
188189야키맨즈2023-02-06부산광역시 북구 만덕대로28번길 18(덕천동)051-334-1633
189190파스타치요 덕천점2023-02-06부산광역시 북구 만덕대로40번길 31(덕천동)<NA>
190191코카모메 덕천점2023-02-06부산광역시 북구 만덕대로40번길 19(덕천동)051-949-0381
191192남다른썬치킨(화명1호점)2023-03-20부산광역시 북구 학사로17번가길 6 (화명동)051-336-8292
192193해초품은과메기2023-03-20부산광역시 북구 기찰로129번길 52(덕천동)(051-337-5040
193194슌사이쿠보2023-03-20부산광역시 북구 양달로4번길 17(화명동)051-365-2959
194195단골맛집2023-06-29부산광역시 북구 덕천1길 10(덕천동)0507-1495-3329
195196모아나(Moana)2023-06-29부산광역시 북구 산성로 33-1(화명동)0507-1320-0341
196197샤브쌈주머니만덕점2023-07-13부산광역시 북구 만덕3로33번길 4-9(만덕동)051-309-1192