Overview

Dataset statistics

Number of variables5
Number of observations203
Missing cells23
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory41.7 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description부산광역시 북구 관내에 있는 식사문화 개선 과제 및 생활방역 수칙을 준수하는 안심식당 현황 데이터로 사업장명, 전화번호, 안심식당 지정일 등의 항목을 제공하고 있습니다. (전화번호 공란: 개인정보 삭제조치)
Author부산광역시 북구
URLhttps://www.data.go.kr/data/15088397/fileData.do

Alerts

전화번호 has 23 (11.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:05:57.289706
Analysis finished2023-12-16 15:06:00.402706
Duration3.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct203
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102
Minimum1
Maximum203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-16T15:06:00.882456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.1
Q151.5
median102
Q3152.5
95-th percentile192.9
Maximum203
Range202
Interquartile range (IQR)101

Descriptive statistics

Standard deviation58.745213
Coefficient of variation (CV)0.57593346
Kurtosis-1.2
Mean102
Median Absolute Deviation (MAD)51
Skewness0
Sum20706
Variance3451
MonotonicityStrictly increasing
2023-12-16T15:06:01.778078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
141 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
Other values (193) 193
95.1%
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 (%)
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%

사업장명
Text

Distinct201
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-16T15:06:02.795444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length6.3103448
Min length2

Characters and Unicode

Total characters1281
Distinct characters314
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)98.0%

Sample

1st row날마다대박나는집
2nd row동백삼계탕 구포직영점
3rd row침사추이
4th row덕천복집
5th row수담
ValueCountFrequency (%)
화명점 6
 
2.6%
덕천점 5
 
2.1%
기장산곰장어 2
 
0.9%
가얏골감자탕 2
 
0.9%
부산화명점 2
 
0.9%
차돌풍(덕천점 1
 
0.4%
전통 1
 
0.4%
콩나물 1
 
0.4%
해장국 1
 
0.4%
참다랑어 1
 
0.4%
Other values (213) 213
90.6%
2023-12-16T15:06:04.485484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 54
 
4.2%
화 35
 
2.7%
명 33
 
2.6%
32
 
2.5%
이 25
 
2.0%
덕 23
 
1.8%
집 23
 
1.8%
가 22
 
1.7%
천 22
 
1.7%
산 17
 
1.3%
Other values (304) 995
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1199
93.6%
Space Separator 32
 
2.5%
Decimal Number 16
 
1.2%
Close Punctuation 10
 
0.8%
Open Punctuation 10
 
0.8%
Uppercase Letter 8
 
0.6%
Lowercase Letter 4
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 54
 
4.5%
화 35
 
2.9%
명 33
 
2.8%
이 25
 
2.1%
덕 23
 
1.9%
집 23
 
1.9%
가 22
 
1.8%
천 22
 
1.8%
산 17
 
1.4%
장 17
 
1.4%
Other values (282) 928
77.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
12.5%
S 1
12.5%
C 1
12.5%
H 1
12.5%
I 1
12.5%
F 1
12.5%
M 1
12.5%
X 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 4
25.0%
3 4
25.0%
0 4
25.0%
9 2
12.5%
7 1
 
6.2%
5 1
 
6.2%
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 (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1199
93.6%
Common 70
 
5.5%
Latin 12
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 54
 
4.5%
화 35
 
2.9%
명 33
 
2.8%
이 25
 
2.1%
덕 23
 
1.9%
집 23
 
1.9%
가 22
 
1.8%
천 22
 
1.8%
산 17
 
1.4%
장 17
 
1.4%
Other values (282) 928
77.4%
Common
ValueCountFrequency (%)
32
45.7%
) 10
 
14.3%
( 10
 
14.3%
1 4
 
5.7%
3 4
 
5.7%
0 4
 
5.7%
9 2
 
2.9%
' 1
 
1.4%
& 1
 
1.4%
7 1
 
1.4%
Latin
ValueCountFrequency (%)
a 2
16.7%
B 1
8.3%
S 1
8.3%
C 1
8.3%
H 1
8.3%
I 1
8.3%
F 1
8.3%
n 1
8.3%
o 1
8.3%
M 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1197
93.4%
ASCII 82
 
6.4%
Compat Jamo 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 54
 
4.5%
화 35
 
2.9%
명 33
 
2.8%
이 25
 
2.1%
덕 23
 
1.9%
집 23
 
1.9%
가 22
 
1.8%
천 22
 
1.8%
산 17
 
1.4%
장 17
 
1.4%
Other values (281) 926
77.4%
ASCII
ValueCountFrequency (%)
32
39.0%
) 10
 
12.2%
( 10
 
12.2%
1 4
 
4.9%
3 4
 
4.9%
0 4
 
4.9%
a 2
 
2.4%
9 2
 
2.4%
B 1
 
1.2%
S 1
 
1.2%
Other values (12) 12
 
14.6%
Compat Jamo
ValueCountFrequency (%)
ㅋ 2
100.0%

안심식당 지정일
Date

Distinct58
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2020-08-04 00:00:00
Maximum2023-11-22 00:00:00
2023-12-16T15:06:05.342016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:06:07.035208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주소1
Text

Distinct190
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-16T15:06:09.882293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length23.142857
Min length14

Characters and Unicode

Total characters4698
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

Unique180 ?
Unique (%)88.7%

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 203
21.7%
북구 203
21.7%
화명동 66
 
7.1%
덕천동 24
 
2.6%
금곡대로 16
 
1.7%
금곡대로285번길 15
 
1.6%
금곡대로303번길 11
 
1.2%
구포동 10
 
1.1%
덕천1길 9
 
1.0%
만덕대로40번길 8
 
0.9%
Other values (217) 371
39.6%
2023-12-16T15:06:11.984391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
733
 
15.6%
구 224
 
4.8%
시 214
 
4.6%
산 206
 
4.4%
부 203
 
4.3%
광 203
 
4.3%
역 203
 
4.3%
북 203
 
4.3%
로 183
 
3.9%
1 170
 
3.6%
Other values (62) 2156
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2865
61.0%
Decimal Number 770
 
16.4%
Space Separator 733
 
15.6%
Open Punctuation 150
 
3.2%
Close Punctuation 150
 
3.2%
Dash Punctuation 17
 
0.4%
Other Punctuation 11
 
0.2%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 224
 
7.8%
시 214
 
7.5%
산 206
 
7.2%
부 203
 
7.1%
광 203
 
7.1%
역 203
 
7.1%
북 203
 
7.1%
로 183
 
6.4%
동 159
 
5.5%
길 132
 
4.6%
Other values (45) 935
32.6%
Decimal Number
ValueCountFrequency (%)
1 170
22.1%
2 106
13.8%
3 87
11.3%
8 74
9.6%
0 72
9.4%
6 62
 
8.1%
5 59
 
7.7%
7 53
 
6.9%
4 48
 
6.2%
9 39
 
5.1%
Space Separator
ValueCountFrequency (%)
733
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2865
61.0%
Common 1832
39.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 224
 
7.8%
시 214
 
7.5%
산 206
 
7.2%
부 203
 
7.1%
광 203
 
7.1%
역 203
 
7.1%
북 203
 
7.1%
로 183
 
6.4%
동 159
 
5.5%
길 132
 
4.6%
Other values (45) 935
32.6%
Common
ValueCountFrequency (%)
733
40.0%
1 170
 
9.3%
( 150
 
8.2%
) 150
 
8.2%
2 106
 
5.8%
3 87
 
4.7%
8 74
 
4.0%
0 72
 
3.9%
6 62
 
3.4%
5 59
 
3.2%
Other values (6) 169
 
9.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2865
61.0%
ASCII 1833
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
733
40.0%
1 170
 
9.3%
( 150
 
8.2%
) 150
 
8.2%
2 106
 
5.8%
3 87
 
4.7%
8 74
 
4.0%
0 72
 
3.9%
6 62
 
3.4%
5 59
 
3.2%
Other values (7) 170
 
9.3%
Hangul
ValueCountFrequency (%)
구 224
 
7.8%
시 214
 
7.5%
산 206
 
7.2%
부 203
 
7.1%
광 203
 
7.1%
역 203
 
7.1%
북 203
 
7.1%
로 183
 
6.4%
동 159
 
5.5%
길 132
 
4.6%
Other values (45) 935
32.6%

전화번호
Text

MISSING 

Distinct179
Distinct (%)99.4%
Missing23
Missing (%)11.3%
Memory size1.7 KiB
2023-12-16T15:06:13.191930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.055556
Min length12

Characters and Unicode

Total characters2170
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

Unique178 ?
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%
051-364-3344 1
 
0.6%
051-916-1002 1
 
0.6%
051-336-9292 1
 
0.6%
051-361-5869 1
 
0.6%
051-335-1555 1
 
0.6%
051-338-2834 1
 
0.6%
051-332-6613 1
 
0.6%
051-363-8883 1
 
0.6%
051-362-5556 1
 
0.6%
Other values (169) 169
93.9%
2023-12-16T15:06:15.416932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 365
16.8%
- 360
16.6%
0 287
13.2%
1 273
12.6%
5 260
12.0%
6 122
 
5.6%
2 115
 
5.3%
4 108
 
5.0%
9 99
 
4.6%
8 97
 
4.5%
Other values (2) 84
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1809
83.4%
Dash Punctuation 360
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 365
20.2%
0 287
15.9%
1 273
15.1%
5 260
14.4%
6 122
 
6.7%
2 115
 
6.4%
4 108
 
6.0%
9 99
 
5.5%
8 97
 
5.4%
7 83
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2170
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 365
16.8%
- 360
16.6%
0 287
13.2%
1 273
12.6%
5 260
12.0%
6 122
 
5.6%
2 115
 
5.3%
4 108
 
5.0%
9 99
 
4.6%
8 97
 
4.5%
Other values (2) 84
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 365
16.8%
- 360
16.6%
0 287
13.2%
1 273
12.6%
5 260
12.0%
6 122
 
5.6%
2 115
 
5.3%
4 108
 
5.0%
9 99
 
4.6%
8 97
 
4.5%
Other values (2) 84
 
3.9%

Interactions

2023-12-16T15:05:58.616300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:06:15.918923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번안심식당 지정일
연번1.0000.980
안심식당 지정일0.9801.000

Missing values

2023-12-16T15:05:59.269945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:06:00.106943image/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
193194만석꾼풍천민물장어2023-10-11부산광역시 북구 금곡대로 206(화명동)051-742-1888
194195여수선어2023-11-22부산광역시 북구 만덕2로 23 (만덕동)051-338-5669
195196진지한국밥2023-11-22부산광역시 북구 덕천1길 64(덕천동)051-341-3678
196197오늘 우리집 또 비어2023-11-22부산광역시 북구 만덕3로16번길 89, 상가동 6호(덕천동)<NA>
197198금용만두2023-11-22부산광역시 북구 구포만세길 75(구포동)051-332-1261
198199쇼오텐2023-11-22부산광역시 북구 만덕대로40번길 33(덕천동)070-4299-0889
199200키읔치읓2023-11-22부산광역시 북구 의성로 127(덕천동)070-4252-1997
200201픽스(FIX)2023-11-22부산광역시 북구 만덕대로16번길 15(덕천동)051-338-3033
201202웃긴술집ㅋㅋ(덕천본점)2023-11-22부산광역시 북구 덕천1길 10, 2동(덕천동)0507-1414-3442
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