Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells13
Missing cells (%)8.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory65.3 B

Variable types

Numeric3
DateTime1
Text2
Categorical1

Dataset

Description부산광역시_동구_PC방현황_20210721
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079099

Alerts

업종명 has constant value ""Constant
우편번호 has 13 (61.9%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique
영업소소재지(도로명) has unique valuesUnique
시설면적 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:52:04.307222
Analysis finished2023-12-10 16:52:06.504973
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T01:52:06.611632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-11T01:52:06.853210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

등록(신고)일자
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2007-09-19 00:00:00
Maximum2021-07-19 00:00:00
2023-12-11T01:52:07.036343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:07.238829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

상호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T01:52:07.512645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length8.4761905
Min length4

Characters and Unicode

Total characters178
Distinct characters69
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row놀토피시존
2nd row사이블루 PC ZONE 수정점
3rd row아이비스PC방
4th rowOn:A PC방
5th row랜드마크 PC
ValueCountFrequency (%)
pc 10
22.2%
ox 3
 
6.7%
pc방 3
 
6.7%
zone 2
 
4.4%
루나틱 1
 
2.2%
부산역점 1
 
2.2%
pc토랑 1
 
2.2%
꿈꾸는 1
 
2.2%
n 1
 
2.2%
cook 1
 
2.2%
Other values (21) 21
46.7%
2023-12-11T01:52:08.029487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
13.5%
C 18
 
10.1%
P 17
 
9.6%
O 8
 
4.5%
이 8
 
4.5%
점 6
 
3.4%
방 6
 
3.4%
X 4
 
2.2%
A 3
 
1.7%
스 3
 
1.7%
Other values (59) 81
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86
48.3%
Uppercase Letter 59
33.1%
Space Separator 24
 
13.5%
Lowercase Letter 6
 
3.4%
Other Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
9.3%
점 6
 
7.0%
방 6
 
7.0%
스 3
 
3.5%
플 3
 
3.5%
시 3
 
3.5%
피 3
 
3.5%
역 2
 
2.3%
일 2
 
2.3%
레 2
 
2.3%
Other values (41) 48
55.8%
Uppercase Letter
ValueCountFrequency (%)
C 18
30.5%
P 17
28.8%
O 8
13.6%
X 4
 
6.8%
A 3
 
5.1%
E 2
 
3.4%
N 2
 
3.4%
Z 2
 
3.4%
M 1
 
1.7%
K 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
33.3%
p 2
33.3%
n 2
33.3%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86
48.3%
Latin 65
36.5%
Common 27
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
9.3%
점 6
 
7.0%
방 6
 
7.0%
스 3
 
3.5%
플 3
 
3.5%
시 3
 
3.5%
피 3
 
3.5%
역 2
 
2.3%
일 2
 
2.3%
레 2
 
2.3%
Other values (41) 48
55.8%
Latin
ValueCountFrequency (%)
C 18
27.7%
P 17
26.2%
O 8
12.3%
X 4
 
6.2%
A 3
 
4.6%
c 2
 
3.1%
p 2
 
3.1%
n 2
 
3.1%
E 2
 
3.1%
N 2
 
3.1%
Other values (4) 5
 
7.7%
Common
ValueCountFrequency (%)
24
88.9%
: 1
 
3.7%
( 1
 
3.7%
) 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92
51.7%
Hangul 86
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
26.1%
C 18
19.6%
P 17
18.5%
O 8
 
8.7%
X 4
 
4.3%
A 3
 
3.3%
c 2
 
2.2%
p 2
 
2.2%
n 2
 
2.2%
E 2
 
2.2%
Other values (8) 10
10.9%
Hangul
ValueCountFrequency (%)
이 8
 
9.3%
점 6
 
7.0%
방 6
 
7.0%
스 3
 
3.5%
플 3
 
3.5%
시 3
 
3.5%
피 3
 
3.5%
역 2
 
2.3%
일 2
 
2.3%
레 2
 
2.3%
Other values (41) 48
55.8%

우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing13
Missing (%)61.9%
Infinite0
Infinite (%)0.0%
Mean48780.375
Minimum48726
Maximum48816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T01:52:08.224422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48726
5-th percentile48732.3
Q148745.5
median48790
Q348815.25
95-th percentile48816
Maximum48816
Range90
Interquartile range (IQR)69.75

Descriptive statistics

Standard deviation36.629175
Coefficient of variation (CV)0.00075089981
Kurtosis-1.7442394
Mean48780.375
Median Absolute Deviation (MAD)26
Skewness-0.44789804
Sum390243
Variance1341.6964
MonotonicityNot monotonic
2023-12-11T01:52:08.427796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
48816 2
 
9.5%
48744 1
 
4.8%
48788 1
 
4.8%
48815 1
 
4.8%
48746 1
 
4.8%
48726 1
 
4.8%
48792 1
 
4.8%
(Missing) 13
61.9%
ValueCountFrequency (%)
48726 1
4.8%
48744 1
4.8%
48746 1
4.8%
48788 1
4.8%
48792 1
4.8%
48815 1
4.8%
48816 2
9.5%
ValueCountFrequency (%)
48816 2
9.5%
48815 1
4.8%
48792 1
4.8%
48788 1
4.8%
48746 1
4.8%
48744 1
4.8%
48726 1
4.8%

영업소소재지(도로명)
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T01:52:08.812440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length27.142857
Min length22

Characters and Unicode

Total characters570
Distinct characters65
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

Unique21 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 초량로 9-1 (초량동)
2nd row부산광역시 동구 고관로 102 (수정동,동환빌딩2층)
3rd row부산광역시 동구 초량상로 84-1 (초량동)
4th row부산광역시 동구 초량중로 101 (초량동)
5th row부산광역시 동구 범일로102번길 13 (범일동)
ValueCountFrequency (%)
부산광역시 21
18.3%
동구 21
18.3%
초량동 9
 
7.8%
수정동 4
 
3.5%
범일동 4
 
3.5%
중앙대로 4
 
3.5%
2층 3
 
2.6%
초량상로 3
 
2.6%
초량중로 3
 
2.6%
범일로102번길 3
 
2.6%
Other values (36) 40
34.8%
2023-12-11T01:52:09.436130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
17.5%
동 43
 
7.5%
1 24
 
4.2%
부 22
 
3.9%
산 22
 
3.9%
) 21
 
3.7%
( 21
 
3.7%
로 21
 
3.7%
구 21
 
3.7%
시 21
 
3.7%
Other values (55) 254
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
58.8%
Space Separator 100
 
17.5%
Decimal Number 81
 
14.2%
Close Punctuation 21
 
3.7%
Open Punctuation 21
 
3.7%
Other Punctuation 9
 
1.6%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
12.8%
부 22
 
6.6%
산 22
 
6.6%
로 21
 
6.3%
구 21
 
6.3%
시 21
 
6.3%
역 21
 
6.3%
광 21
 
6.3%
초 18
 
5.4%
량 18
 
5.4%
Other values (40) 107
31.9%
Decimal Number
ValueCountFrequency (%)
1 24
29.6%
2 14
17.3%
0 10
12.3%
9 7
 
8.6%
3 7
 
8.6%
4 7
 
8.6%
7 4
 
4.9%
8 4
 
4.9%
5 3
 
3.7%
6 1
 
1.2%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
58.8%
Common 235
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
12.8%
부 22
 
6.6%
산 22
 
6.6%
로 21
 
6.3%
구 21
 
6.3%
시 21
 
6.3%
역 21
 
6.3%
광 21
 
6.3%
초 18
 
5.4%
량 18
 
5.4%
Other values (40) 107
31.9%
Common
ValueCountFrequency (%)
100
42.6%
1 24
 
10.2%
) 21
 
8.9%
( 21
 
8.9%
2 14
 
6.0%
0 10
 
4.3%
, 9
 
3.8%
9 7
 
3.0%
3 7
 
3.0%
4 7
 
3.0%
Other values (5) 15
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
58.8%
ASCII 235
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
42.6%
1 24
 
10.2%
) 21
 
8.9%
( 21
 
8.9%
2 14
 
6.0%
0 10
 
4.3%
, 9
 
3.8%
9 7
 
3.0%
3 7
 
3.0%
4 7
 
3.0%
Other values (5) 15
 
6.4%
Hangul
ValueCountFrequency (%)
동 43
12.8%
부 22
 
6.6%
산 22
 
6.6%
로 21
 
6.3%
구 21
 
6.3%
시 21
 
6.3%
역 21
 
6.3%
광 21
 
6.3%
초 18
 
5.4%
량 18
 
5.4%
Other values (40) 107
31.9%

시설면적
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.57429
Minimum61.49
Maximum409.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T01:52:09.618982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.49
5-th percentile97.92
Q1153.81
median233
Q3278.28
95-th percentile396.99
Maximum409.01
Range347.52
Interquartile range (IQR)124.47

Descriptive statistics

Standard deviation95.480873
Coefficient of variation (CV)0.41955915
Kurtosis-0.5123573
Mean227.57429
Median Absolute Deviation (MAD)67.3
Skewness0.18714508
Sum4779.06
Variance9116.5972
MonotonicityNot monotonic
2023-12-11T01:52:09.797225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
97.92 1
 
4.8%
243.95 1
 
4.8%
286.92 1
 
4.8%
272.09 1
 
4.8%
61.49 1
 
4.8%
233.0 1
 
4.8%
155.74 1
 
4.8%
409.01 1
 
4.8%
396.99 1
 
4.8%
300.3 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
61.49 1
4.8%
97.92 1
4.8%
118.12 1
4.8%
120.44 1
4.8%
133.31 1
4.8%
153.81 1
4.8%
155.74 1
4.8%
202.8 1
4.8%
216.86 1
4.8%
230.12 1
4.8%
ValueCountFrequency (%)
409.01 1
4.8%
396.99 1
4.8%
355.49 1
4.8%
300.3 1
4.8%
286.92 1
4.8%
278.28 1
4.8%
278.27 1
4.8%
272.09 1
4.8%
243.95 1
4.8%
234.15 1
4.8%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
인터넷컴퓨터게임시설제공업
21 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 21
100.0%

Length

2023-12-11T01:52:09.993989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:10.159145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 21
100.0%

Interactions

2023-12-11T01:52:05.341443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:04.590841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:04.961047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:05.465643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:04.728977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:05.123465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:05.611198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:04.832815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:05.235277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:52:10.287619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록(신고)일자상호우편번호영업소소재지(도로명)시설면적
연번1.0001.0001.0000.5441.0000.570
등록(신고)일자1.0001.0001.0001.0001.0000.970
상호1.0001.0001.0001.0001.0001.000
우편번호0.5441.0001.0001.0001.0000.418
영업소소재지(도로명)1.0001.0001.0001.0001.0001.000
시설면적0.5700.9701.0000.4181.0001.000
2023-12-11T01:52:10.476218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호시설면적
연번1.000-0.2870.286
우편번호-0.2871.000-0.108
시설면적0.286-0.1081.000

Missing values

2023-12-11T01:52:06.181933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:52:06.430061image/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

연번등록(신고)일자상호우편번호영업소소재지(도로명)시설면적업종명
012007-09-19놀토피시존<NA>부산광역시 동구 초량로 9-1 (초량동)97.92인터넷컴퓨터게임시설제공업
122007-12-05사이블루 PC ZONE 수정점<NA>부산광역시 동구 고관로 102 (수정동,동환빌딩2층)243.95인터넷컴퓨터게임시설제공업
232008-05-20아이비스PC방<NA>부산광역시 동구 초량상로 84-1 (초량동)120.44인터넷컴퓨터게임시설제공업
342008-05-23On:A PC방<NA>부산광역시 동구 초량중로 101 (초량동)202.8인터넷컴퓨터게임시설제공업
452008-05-26랜드마크 PC<NA>부산광역시 동구 범일로102번길 13 (범일동)278.28인터넷컴퓨터게임시설제공업
562008-05-26라이또 PC방<NA>부산광역시 동구 초량상로 94 (초량동)234.15인터넷컴퓨터게임시설제공업
672008-07-25사이버포유pc<NA>부산광역시 동구 초량상로 90-1 (초량동,부산장우신협 3층)118.12인터넷컴퓨터게임시설제공업
782008-07-30드레곤PC방<NA>부산광역시 동구 중앙대로371번길 9 (수정동)230.12인터넷컴퓨터게임시설제공업
892008-08-01에이아이(AI)PC까페<NA>부산광역시 동구 초량중로 95 (초량동)355.49인터넷컴퓨터게임시설제공업
9102008-09-26피플pc<NA>부산광역시 동구 망양로 851 (수정동)133.31인터넷컴퓨터게임시설제공업
연번등록(신고)일자상호우편번호영업소소재지(도로명)시설면적업종명
11122010-06-03젠 PC방<NA>부산광역시 동구 고관로 111 (수정동)153.81인터넷컴퓨터게임시설제공업
12132011-10-25MAX PC ZONE<NA>부산광역시 동구 중앙대로 201 (초량동,행운빌딩 지하1층)216.86인터넷컴퓨터게임시설제공업
13142013-05-01OX PC 부산역점48816부산광역시 동구 중앙대로 197 (초량동)300.3인터넷컴퓨터게임시설제공업
14152015-07-17PC토랑48744부산광역시 동구 범일로102번길 14 (범일동)396.99인터넷컴퓨터게임시설제공업
15162015-12-09꿈꾸는 PC n COOK48788부산광역시 동구 중앙대로371번길 12, 4층 (수정동)409.01인터넷컴퓨터게임시설제공업
16172016-12-27루나틱 하이 PC48815부산광역시 동구 초량중로 78, 2층 (초량동)155.74인터넷컴퓨터게임시설제공업
17182017-10-26플러스피시방 본점48816부산광역시 동구 대영로243번길 89 (초량동)233.0인터넷컴퓨터게임시설제공업
18192018-05-21스포플레이 PC48746부산광역시 동구 자성공원로 20, 1층 (범일동)61.49인터넷컴퓨터게임시설제공업
19202018-06-28OX PC 범일동점48726부산광역시 동구 중앙대로 540, 2층 (범일동)272.09인터넷컴퓨터게임시설제공업
20212021-07-19OX PC 초량역점48792부산광역시 동구 중앙대로 263, 국제오피스텔 2층 201호 (초량동)286.92인터넷컴퓨터게임시설제공업