Overview

Dataset statistics

Number of variables6
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory51.9 B

Variable types

Text2
DateTime2
Numeric1
Categorical1

Dataset

Description부산광역시_서구_게임업소정보_20230517
Author부산광역시 서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3077790

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-10 17:26:29.211476
Analysis finished2023-12-10 17:26:30.775592
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T02:26:31.143609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.5
Min length3

Characters and Unicode

Total characters345
Distinct characters118
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row누리꾼PC
2nd row니케PC방
3rd row맥스피드
4th row파워아지트
5th rowCNC PC방
ValueCountFrequency (%)
pc방 8
 
10.3%
pc 5
 
6.4%
까치인터넷 2
 
2.6%
cafe 2
 
2.6%
서대신점 2
 
2.6%
나자바바라 2
 
2.6%
oxpc 2
 
2.6%
피시존 2
 
2.6%
게임랜드 2
 
2.6%
동대신3호점 1
 
1.3%
Other values (50) 50
64.1%
2023-12-11T02:26:32.047041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
9.3%
P 27
 
7.8%
C 27
 
7.8%
방 16
 
4.6%
점 8
 
2.3%
바 6
 
1.7%
아 6
 
1.7%
c 6
 
1.7%
피 5
 
1.4%
스 5
 
1.4%
Other values (108) 207
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
57.4%
Uppercase Letter 76
 
22.0%
Space Separator 32
 
9.3%
Lowercase Letter 23
 
6.7%
Decimal Number 5
 
1.4%
Close Punctuation 4
 
1.2%
Open Punctuation 4
 
1.2%
Other Number 1
 
0.3%
Dash Punctuation 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 16
 
8.1%
점 8
 
4.0%
바 6
 
3.0%
아 6
 
3.0%
피 5
 
2.5%
스 5
 
2.5%
카 5
 
2.5%
페 5
 
2.5%
동 5
 
2.5%
비 4
 
2.0%
Other values (79) 133
67.2%
Uppercase Letter
ValueCountFrequency (%)
P 27
35.5%
C 27
35.5%
O 4
 
5.3%
A 4
 
5.3%
S 3
 
3.9%
X 3
 
3.9%
E 2
 
2.6%
N 2
 
2.6%
G 2
 
2.6%
H 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
c 6
26.1%
f 3
13.0%
p 3
13.0%
o 3
13.0%
n 2
 
8.7%
e 2
 
8.7%
a 2
 
8.7%
u 1
 
4.3%
k 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
2 2
40.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
57.4%
Latin 99
28.7%
Common 48
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 16
 
8.1%
점 8
 
4.0%
바 6
 
3.0%
아 6
 
3.0%
피 5
 
2.5%
스 5
 
2.5%
카 5
 
2.5%
페 5
 
2.5%
동 5
 
2.5%
비 4
 
2.0%
Other values (79) 133
67.2%
Latin
ValueCountFrequency (%)
P 27
27.3%
C 27
27.3%
c 6
 
6.1%
O 4
 
4.0%
A 4
 
4.0%
f 3
 
3.0%
S 3
 
3.0%
p 3
 
3.0%
X 3
 
3.0%
o 3
 
3.0%
Other values (10) 16
16.2%
Common
ValueCountFrequency (%)
32
66.7%
) 4
 
8.3%
( 4
 
8.3%
3 2
 
4.2%
2 2
 
4.2%
₂ 1
 
2.1%
- 1
 
2.1%
. 1
 
2.1%
1 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
57.4%
ASCII 146
42.3%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
21.9%
P 27
18.5%
C 27
18.5%
c 6
 
4.1%
O 4
 
2.7%
) 4
 
2.7%
A 4
 
2.7%
( 4
 
2.7%
f 3
 
2.1%
S 3
 
2.1%
Other values (18) 32
21.9%
Hangul
ValueCountFrequency (%)
방 16
 
8.1%
점 8
 
4.0%
바 6
 
3.0%
아 6
 
3.0%
피 5
 
2.5%
스 5
 
2.5%
카 5
 
2.5%
페 5
 
2.5%
동 5
 
2.5%
비 4
 
2.0%
Other values (79) 133
67.2%
None
ValueCountFrequency (%)
₂ 1
100.0%

영업소도로명소재지
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T02:26:32.682361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length28
Min length23

Characters and Unicode

Total characters1288
Distinct characters85
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

Unique44 ?
Unique (%)95.7%

Sample

1st row부산광역시 서구 송도해변로 133 (암남동)
2nd row부산광역시 서구 송도해변로 117-1 (암남동)
3rd row부산광역시 서구 대영로45번길 20 (서대신동2가)
4th row부산광역시 서구 천마로 224 (충무동2가)
5th row부산광역시 서구 구덕로 299 (서대신동2가)
ValueCountFrequency (%)
부산광역시 46
18.5%
서구 46
18.5%
구덕로 7
 
2.8%
서대신동2가 7
 
2.8%
동대신동2가 6
 
2.4%
남부민동 6
 
2.4%
부민동2가 5
 
2.0%
대영로 5
 
2.0%
서대신동1가 5
 
2.0%
9 5
 
2.0%
Other values (76) 110
44.4%
2023-12-11T02:26:33.641294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
 
15.7%
부 60
 
4.7%
동 60
 
4.7%
서 58
 
4.5%
구 58
 
4.5%
2 52
 
4.0%
시 50
 
3.9%
광 46
 
3.6%
역 46
 
3.6%
산 46
 
3.6%
Other values (75) 610
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 770
59.8%
Space Separator 202
 
15.7%
Decimal Number 196
 
15.2%
Close Punctuation 46
 
3.6%
Open Punctuation 46
 
3.6%
Other Punctuation 16
 
1.2%
Dash Punctuation 9
 
0.7%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 60
 
7.8%
동 60
 
7.8%
서 58
 
7.5%
구 58
 
7.5%
시 50
 
6.5%
광 46
 
6.0%
역 46
 
6.0%
산 46
 
6.0%
로 46
 
6.0%
대 38
 
4.9%
Other values (57) 262
34.0%
Decimal Number
ValueCountFrequency (%)
2 52
26.5%
1 42
21.4%
3 25
12.8%
9 14
 
7.1%
5 14
 
7.1%
4 14
 
7.1%
0 13
 
6.6%
6 9
 
4.6%
7 8
 
4.1%
8 5
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
L 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 770
59.8%
Common 515
40.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 60
 
7.8%
동 60
 
7.8%
서 58
 
7.5%
구 58
 
7.5%
시 50
 
6.5%
광 46
 
6.0%
역 46
 
6.0%
산 46
 
6.0%
로 46
 
6.0%
대 38
 
4.9%
Other values (57) 262
34.0%
Common
ValueCountFrequency (%)
202
39.2%
2 52
 
10.1%
) 46
 
8.9%
( 46
 
8.9%
1 42
 
8.2%
3 25
 
4.9%
, 16
 
3.1%
9 14
 
2.7%
5 14
 
2.7%
4 14
 
2.7%
Other values (5) 44
 
8.5%
Latin
ValueCountFrequency (%)
A 1
33.3%
L 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 770
59.8%
ASCII 518
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
39.0%
2 52
 
10.0%
) 46
 
8.9%
( 46
 
8.9%
1 42
 
8.1%
3 25
 
4.8%
, 16
 
3.1%
9 14
 
2.7%
5 14
 
2.7%
4 14
 
2.7%
Other values (8) 47
 
9.1%
Hangul
ValueCountFrequency (%)
부 60
 
7.8%
동 60
 
7.8%
서 58
 
7.5%
구 58
 
7.5%
시 50
 
6.5%
광 46
 
6.0%
역 46
 
6.0%
산 46
 
6.0%
로 46
 
6.0%
대 38
 
4.9%
Other values (57) 262
34.0%

등록(신고)일자
Date

Distinct42
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2005-10-24 00:00:00
Maximum2022-08-03 00:00:00
2023-12-11T02:26:33.968812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:26:34.269017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

시설면적
Real number (ℝ)

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.88783
Minimum14.7
Maximum646.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T02:26:34.554677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.7
5-th percentile32.77
Q195.4875
median147.32
Q3218.4425
95-th percentile294.98
Maximum646.26
Range631.56
Interquartile range (IQR)122.955

Descriptive statistics

Standard deviation110.85209
Coefficient of variation (CV)0.68054249
Kurtosis6.6887099
Mean162.88783
Median Absolute Deviation (MAD)61.41
Skewness1.8724113
Sum7492.84
Variance12288.185
MonotonicityNot monotonic
2023-12-11T02:26:34.895307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
95.25 2
 
4.3%
282.3 1
 
2.2%
66.0 1
 
2.2%
163.38 1
 
2.2%
280.44 1
 
2.2%
295.92 1
 
2.2%
270.18 1
 
2.2%
214.97 1
 
2.2%
201.02 1
 
2.2%
219.6 1
 
2.2%
Other values (35) 35
76.1%
ValueCountFrequency (%)
14.7 1
2.2%
29.22 1
2.2%
30.36 1
2.2%
40.0 1
2.2%
40.76 1
2.2%
47.18 1
2.2%
49.6 1
2.2%
66.0 1
2.2%
69.49 1
2.2%
79.4 1
2.2%
ValueCountFrequency (%)
646.26 1
2.2%
314.05 1
2.2%
295.92 1
2.2%
292.16 1
2.2%
282.3 1
2.2%
280.76 1
2.2%
280.44 1
2.2%
270.18 1
2.2%
265.9 1
2.2%
228.94 1
2.2%

업종명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
인터넷컴퓨터게임시설제공업
36 
청소년게임제공업
7 
일반게임제공업
 
2
게임물제작업
 
1

Length

Max length13
Median length13
Mean length11.826087
Min length6

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 36
78.3%
청소년게임제공업 7
 
15.2%
일반게임제공업 2
 
4.3%
게임물제작업 1
 
2.2%

Length

2023-12-11T02:26:35.230201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:26:35.508926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 36
78.3%
청소년게임제공업 7
 
15.2%
일반게임제공업 2
 
4.3%
게임물제작업 1
 
2.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2023-05-17 00:00:00
Maximum2023-05-17 00:00:00
2023-12-11T02:26:35.793820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:26:36.014052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T02:26:30.034833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:26:36.200715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호명영업소도로명소재지등록(신고)일자시설면적업종명
상호명1.0000.9960.9840.9561.000
영업소도로명소재지0.9961.0000.9841.0001.000
등록(신고)일자0.9840.9841.0000.8531.000
시설면적0.9561.0000.8531.0000.658
업종명1.0001.0001.0000.6581.000
2023-12-11T02:26:36.420298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설면적업종명
시설면적1.0000.473
업종명0.4731.000

Missing values

2023-12-11T02:26:30.361199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:26:30.662070image/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

상호명영업소도로명소재지등록(신고)일자시설면적업종명데이터기준일자
0누리꾼PC부산광역시 서구 송도해변로 133 (암남동)2007-07-25282.3인터넷컴퓨터게임시설제공업2023-05-17
1니케PC방부산광역시 서구 송도해변로 117-1 (암남동)2007-08-0697.83인터넷컴퓨터게임시설제공업2023-05-17
2맥스피드부산광역시 서구 대영로45번길 20 (서대신동2가)2007-10-23196.27인터넷컴퓨터게임시설제공업2023-05-17
3파워아지트부산광역시 서구 천마로 224 (충무동2가)2007-11-0795.25인터넷컴퓨터게임시설제공업2023-05-17
4CNC PC방부산광역시 서구 구덕로 299 (서대신동2가)2007-11-08228.94인터넷컴퓨터게임시설제공업2023-05-17
5캠프 PC방부산광역시 서구 대영로 49 (서대신동2가)2007-11-13155.74인터넷컴퓨터게임시설제공업2023-05-17
6아이카페PC방부산광역시 서구 임시수도기념로 13 (부민동2가)2007-11-14314.05인터넷컴퓨터게임시설제공업2023-05-17
7아싸(ASSA) PC방부산광역시 서구 구덕로296번길 40-1 (동대신동2가)2007-11-1596.2인터넷컴퓨터게임시설제공업2023-05-17
8탐스피씨카페부산광역시 서구 보수대로 258-17 (동대신동3가)2007-11-16144.97인터넷컴퓨터게임시설제공업2023-05-17
9O₂PC클럽부산광역시 서구 대영로 44 (서대신동1가)2007-11-16265.9인터넷컴퓨터게임시설제공업2023-05-17
상호명영업소도로명소재지등록(신고)일자시설면적업종명데이터기준일자
36성진AGS부산광역시 서구 까치고개로233번길 17-6 (토성동2가)2005-10-2466.0게임물제작업2023-05-17
37세븐게임랜드부산광역시 서구 충무대로255번길 9 (남부민동, 충무쇼핑맨션)2017-02-1647.18일반게임제공업2023-05-17
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