Overview

Dataset statistics

Number of variables3
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory27.9 B

Variable types

Numeric1
Text2

Dataset

Description부산광역시북구_pc방등록현황_20230901
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15122620

Alerts

연번 has unique valuesUnique
사업체소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:32:28.886538
Analysis finished2023-12-10 16:32:29.330952
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-11T01:32:29.414579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-12-11T01:32:29.558011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

사업체명칭
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:32:29.787977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length8.8666667
Min length4

Characters and Unicode

Total characters399
Distinct characters112
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st rowM PC CAFE PC방
2nd row아망떼pc존 만덕2호점
3rd row아이러브컬러 PC Zone
4th row넥스트 pc방
5th row프렌즈 PC방
ValueCountFrequency (%)
pc 17
 
16.5%
pc방 15
 
14.6%
cafe 6
 
5.8%
ox 4
 
3.9%
zone 4
 
3.9%
아망떼 2
 
1.9%
부산화명점 2
 
1.9%
화명점 2
 
1.9%
덕천점 2
 
1.9%
더락pc카페 2
 
1.9%
Other values (46) 47
45.6%
2023-12-11T01:32:30.224448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
15.0%
C 43
 
10.8%
P 37
 
9.3%
방 18
 
4.5%
점 13
 
3.3%
스 9
 
2.3%
E 7
 
1.8%
c 6
 
1.5%
p 6
 
1.5%
e 6
 
1.5%
Other values (102) 194
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
47.4%
Uppercase Letter 120
30.1%
Space Separator 60
 
15.0%
Lowercase Letter 29
 
7.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 18
 
9.5%
점 13
 
6.9%
스 9
 
4.8%
이 6
 
3.2%
아 6
 
3.2%
화 5
 
2.6%
덕 5
 
2.6%
명 5
 
2.6%
피 4
 
2.1%
그 3
 
1.6%
Other values (78) 115
60.8%
Uppercase Letter
ValueCountFrequency (%)
C 43
35.8%
P 37
30.8%
E 7
 
5.8%
O 6
 
5.0%
X 5
 
4.2%
Z 4
 
3.3%
T 3
 
2.5%
N 3
 
2.5%
F 3
 
2.5%
A 3
 
2.5%
Other values (4) 6
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
c 6
20.7%
p 6
20.7%
e 6
20.7%
a 3
10.3%
f 3
10.3%
o 2
 
6.9%
n 2
 
6.9%
h 1
 
3.4%
Space Separator
ValueCountFrequency (%)
60
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
47.4%
Latin 149
37.3%
Common 61
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 18
 
9.5%
점 13
 
6.9%
스 9
 
4.8%
이 6
 
3.2%
아 6
 
3.2%
화 5
 
2.6%
덕 5
 
2.6%
명 5
 
2.6%
피 4
 
2.1%
그 3
 
1.6%
Other values (78) 115
60.8%
Latin
ValueCountFrequency (%)
C 43
28.9%
P 37
24.8%
E 7
 
4.7%
c 6
 
4.0%
p 6
 
4.0%
e 6
 
4.0%
O 6
 
4.0%
X 5
 
3.4%
Z 4
 
2.7%
a 3
 
2.0%
Other values (12) 26
17.4%
Common
ValueCountFrequency (%)
60
98.4%
2 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
52.6%
Hangul 189
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
28.6%
C 43
20.5%
P 37
17.6%
E 7
 
3.3%
c 6
 
2.9%
p 6
 
2.9%
e 6
 
2.9%
O 6
 
2.9%
X 5
 
2.4%
Z 4
 
1.9%
Other values (14) 30
14.3%
Hangul
ValueCountFrequency (%)
방 18
 
9.5%
점 13
 
6.9%
스 9
 
4.8%
이 6
 
3.2%
아 6
 
3.2%
화 5
 
2.6%
덕 5
 
2.6%
명 5
 
2.6%
피 4
 
2.1%
그 3
 
1.6%
Other values (78) 115
60.8%

사업체소재지
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:32:30.496776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length29.888889
Min length21

Characters and Unicode

Total characters1345
Distinct characters95
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row부산광역시 북구 금곡대로285번길 22, 401호 (화명동, 월드타워)
2nd row부산광역시 북구 만덕2로 36, 2층 (만덕동)
3rd row부산광역시 북구 백양대로1015번길 7 (구포동)
4th row부산광역시 북구 학사로 13 (화명동)
5th row부산광역시 북구 양달로4번길 11, 지하1층 (화명동)
ValueCountFrequency (%)
부산광역시 45
 
16.0%
북구 45
 
16.0%
화명동 15
 
5.3%
구포동 13
 
4.6%
2층 12
 
4.3%
만덕동 9
 
3.2%
3층 9
 
3.2%
시랑로 7
 
2.5%
덕천동 6
 
2.1%
만덕2로 4
 
1.4%
Other values (92) 117
41.5%
2023-12-11T01:32:30.906337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
 
17.6%
구 59
 
4.4%
시 55
 
4.1%
, 50
 
3.7%
산 46
 
3.4%
광 46
 
3.4%
동 46
 
3.4%
) 45
 
3.3%
( 45
 
3.3%
부 45
 
3.3%
Other values (85) 671
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 760
56.5%
Space Separator 237
 
17.6%
Decimal Number 207
 
15.4%
Other Punctuation 50
 
3.7%
Close Punctuation 45
 
3.3%
Open Punctuation 45
 
3.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 59
 
7.8%
시 55
 
7.2%
산 46
 
6.1%
광 46
 
6.1%
동 46
 
6.1%
부 45
 
5.9%
역 45
 
5.9%
북 45
 
5.9%
로 41
 
5.4%
층 32
 
4.2%
Other values (70) 300
39.5%
Decimal Number
ValueCountFrequency (%)
2 41
19.8%
1 36
17.4%
3 35
16.9%
0 22
10.6%
6 17
8.2%
5 14
 
6.8%
4 13
 
6.3%
8 12
 
5.8%
7 9
 
4.3%
9 8
 
3.9%
Space Separator
ValueCountFrequency (%)
237
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 760
56.5%
Common 585
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 59
 
7.8%
시 55
 
7.2%
산 46
 
6.1%
광 46
 
6.1%
동 46
 
6.1%
부 45
 
5.9%
역 45
 
5.9%
북 45
 
5.9%
로 41
 
5.4%
층 32
 
4.2%
Other values (70) 300
39.5%
Common
ValueCountFrequency (%)
237
40.5%
, 50
 
8.5%
) 45
 
7.7%
( 45
 
7.7%
2 41
 
7.0%
1 36
 
6.2%
3 35
 
6.0%
0 22
 
3.8%
6 17
 
2.9%
5 14
 
2.4%
Other values (5) 43
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 760
56.5%
ASCII 585
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
40.5%
, 50
 
8.5%
) 45
 
7.7%
( 45
 
7.7%
2 41
 
7.0%
1 36
 
6.2%
3 35
 
6.0%
0 22
 
3.8%
6 17
 
2.9%
5 14
 
2.4%
Other values (5) 43
 
7.4%
Hangul
ValueCountFrequency (%)
구 59
 
7.8%
시 55
 
7.2%
산 46
 
6.1%
광 46
 
6.1%
동 46
 
6.1%
부 45
 
5.9%
역 45
 
5.9%
북 45
 
5.9%
로 41
 
5.4%
층 32
 
4.2%
Other values (70) 300
39.5%

Interactions

2023-12-11T01:32:29.108391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:32:31.007350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업체명칭사업체소재지
연번1.0000.9111.000
사업체명칭0.9111.0001.000
사업체소재지1.0001.0001.000

Missing values

2023-12-11T01:32:29.214118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:32:29.296402image/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

연번사업체명칭사업체소재지
01M PC CAFE PC방부산광역시 북구 금곡대로285번길 22, 401호 (화명동, 월드타워)
12아망떼pc존 만덕2호점부산광역시 북구 만덕2로 36, 2층 (만덕동)
23아이러브컬러 PC Zone부산광역시 북구 백양대로1015번길 7 (구포동)
34넥스트 pc방부산광역시 북구 학사로 13 (화명동)
45프렌즈 PC방부산광역시 북구 양달로4번길 11, 지하1층 (화명동)
56아망떼 PC ZONE부산광역시 북구 모분재로 39, 2층 (구포동)
67제니스 PC방부산광역시 북구 시랑로 23, 2층 (구포동)
78콕스피씨방부산광역시 북구 덕천로 182, 302호 (만덕동, 벽산라인타운)
89허브 PC방부산광역시 북구 백양대로1015번길 9, 203호 (구포동, 선광하이트빌라)
910클랜 pc존부산광역시 북구 만덕2로 35, 3층 (만덕동)
연번사업체명칭사업체소재지
3536OX PC 만덕역점부산광역시 북구 만덕2로 26, 3층 (만덕동)
3637The BEST PC Cafe부산광역시 북구 화명신도시로 120, 화명메디컬센터 지하1층 1호 (화명동)
3738NEXT PC Cafe 부산본점부산광역시 북구 만덕1로104번길 6, 2층 (만덕동)
3839라이킷 PC CAFE부산광역시 북구 만덕1로 11, 3,4층 (만덕동)
3940오엑스피시 금곡점부산광역시 북구 금곡대로638번길 9-7, 라현빌딩 5층 (금곡동)
4041앤유PC 화명점부산광역시 북구 화명신도시로 127, 범서미라클 3층 (화명동)
4142크라우드pc 부산화명점부산광역시 북구 금곡대로303번길 22, 정능빌딩 4층 (화명동)
4243랑채pc부산광역시 북구 구포만세길 95, 4층 (구포동)
4344OX PC 구포시랑로점부산광역시 북구 시랑로 42, 2층 (구포동)
4445지그재그포인트PC부산광역시 북구 만덕2로 20, 1층 (만덕동)