Overview

Dataset statistics

Number of variables3
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory27.7 B

Variable types

Text2
Numeric1

Dataset

Description북구내에 등록되어있는 인터넷게임제공업소(PC방) 등록현황으로 인터넷게임제공업소의 상호명과 도로명주소, 게임기대수를 나타냄
URLhttps://www.data.go.kr/data/3069309/fileData.do

Alerts

영업소소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:29:38.596217
Analysis finished2023-12-12 22:29:38.991203
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct47
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T07:29:39.161174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.7959184
Min length4

Characters and Unicode

Total characters431
Distinct characters116
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

Unique45 ?
Unique (%)91.8%

Sample

1st rowM PC CAFE PC방
2nd row아망떼pc존 만덕2호점
3rd row아이러브컬러 PC Zone
4th row매드포 PC방
5th row넥스트 pc방
ValueCountFrequency (%)
pc 19
 
17.1%
pc방 16
 
14.4%
cafe 7
 
6.3%
zone 4
 
3.6%
ox 4
 
3.6%
매드포 2
 
1.8%
아망떼 2
 
1.8%
화명점 2
 
1.8%
더락pc카페 2
 
1.8%
덕천점 2
 
1.8%
Other values (48) 51
45.9%
2023-12-13T07:29:39.557195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
14.8%
C 49
 
11.4%
P 42
 
9.7%
19
 
4.4%
13
 
3.0%
9
 
2.1%
E 9
 
2.1%
X 6
 
1.4%
6
 
1.4%
6
 
1.4%
Other values (106) 208
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
46.6%
Uppercase Letter 138
32.0%
Space Separator 64
 
14.8%
Lowercase Letter 27
 
6.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19
 
9.5%
13
 
6.5%
9
 
4.5%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
5
 
2.5%
5
 
2.5%
4
 
2.0%
Other values (82) 124
61.7%
Uppercase Letter
ValueCountFrequency (%)
C 49
35.5%
P 42
30.4%
E 9
 
6.5%
X 6
 
4.3%
O 6
 
4.3%
F 4
 
2.9%
T 4
 
2.9%
N 4
 
2.9%
Z 4
 
2.9%
A 4
 
2.9%
Other values (4) 6
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
22.2%
p 5
18.5%
c 5
18.5%
a 3
11.1%
f 3
11.1%
n 2
 
7.4%
o 2
 
7.4%
h 1
 
3.7%
Space Separator
ValueCountFrequency (%)
64
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
46.6%
Latin 165
38.3%
Common 65
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19
 
9.5%
13
 
6.5%
9
 
4.5%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
5
 
2.5%
5
 
2.5%
4
 
2.0%
Other values (82) 124
61.7%
Latin
ValueCountFrequency (%)
C 49
29.7%
P 42
25.5%
E 9
 
5.5%
X 6
 
3.6%
O 6
 
3.6%
e 6
 
3.6%
p 5
 
3.0%
c 5
 
3.0%
F 4
 
2.4%
T 4
 
2.4%
Other values (12) 29
17.6%
Common
ValueCountFrequency (%)
64
98.5%
2 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
53.4%
Hangul 201
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
27.8%
C 49
21.3%
P 42
18.3%
E 9
 
3.9%
X 6
 
2.6%
O 6
 
2.6%
e 6
 
2.6%
p 5
 
2.2%
c 5
 
2.2%
F 4
 
1.7%
Other values (14) 34
14.8%
Hangul
ValueCountFrequency (%)
19
 
9.5%
13
 
6.5%
9
 
4.5%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
5
 
2.5%
5
 
2.5%
4
 
2.0%
Other values (82) 124
61.7%
Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T07:29:39.884698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length29.918367
Min length21

Characters and Unicode

Total characters1466
Distinct characters100
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

Unique49 ?
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 효열로 77 (금곡동)
5th row부산광역시 북구 학사로 13 (화명동)
ValueCountFrequency (%)
부산광역시 49
 
15.9%
북구 49
 
15.9%
화명동 16
 
5.2%
구포동 15
 
4.9%
2층 13
 
4.2%
만덕동 9
 
2.9%
3층 8
 
2.6%
시랑로 8
 
2.6%
덕천동 6
 
1.9%
금곡대로303번길 4
 
1.3%
Other values (100) 131
42.5%
2023-12-13T07:29:40.319916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
 
17.7%
66
 
4.5%
60
 
4.1%
, 53
 
3.6%
51
 
3.5%
50
 
3.4%
50
 
3.4%
49
 
3.3%
49
 
3.3%
49
 
3.3%
Other values (90) 730
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 829
56.5%
Space Separator 259
 
17.7%
Decimal Number 226
 
15.4%
Other Punctuation 53
 
3.6%
Close Punctuation 49
 
3.3%
Open Punctuation 49
 
3.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
66
 
8.0%
60
 
7.2%
51
 
6.2%
50
 
6.0%
50
 
6.0%
49
 
5.9%
49
 
5.9%
49
 
5.9%
44
 
5.3%
33
 
4.0%
Other values (75) 328
39.6%
Decimal Number
ValueCountFrequency (%)
2 44
19.5%
1 39
17.3%
3 38
16.8%
0 26
11.5%
6 18
8.0%
5 15
 
6.6%
8 14
 
6.2%
4 13
 
5.8%
7 11
 
4.9%
9 8
 
3.5%
Space Separator
ValueCountFrequency (%)
259
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 829
56.5%
Common 637
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
66
 
8.0%
60
 
7.2%
51
 
6.2%
50
 
6.0%
50
 
6.0%
49
 
5.9%
49
 
5.9%
49
 
5.9%
44
 
5.3%
33
 
4.0%
Other values (75) 328
39.6%
Common
ValueCountFrequency (%)
259
40.7%
, 53
 
8.3%
) 49
 
7.7%
( 49
 
7.7%
2 44
 
6.9%
1 39
 
6.1%
3 38
 
6.0%
0 26
 
4.1%
6 18
 
2.8%
5 15
 
2.4%
Other values (5) 47
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 829
56.5%
ASCII 637
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
40.7%
, 53
 
8.3%
) 49
 
7.7%
( 49
 
7.7%
2 44
 
6.9%
1 39
 
6.1%
3 38
 
6.0%
0 26
 
4.1%
6 18
 
2.8%
5 15
 
2.4%
Other values (5) 47
 
7.4%
Hangul
ValueCountFrequency (%)
66
 
8.0%
60
 
7.2%
51
 
6.2%
50
 
6.0%
50
 
6.0%
49
 
5.9%
49
 
5.9%
49
 
5.9%
44
 
5.3%
33
 
4.0%
Other values (75) 328
39.6%

게임기수
Real number (ℝ)

Distinct38
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.591837
Minimum8
Maximum298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T07:29:40.523764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q159
median72
Q394
95-th percentile168.4
Maximum298
Range290
Interquartile range (IQR)35

Descriptive statistics

Standard deviation48.894409
Coefficient of variation (CV)0.60669184
Kurtosis7.8757766
Mean80.591837
Median Absolute Deviation (MAD)14
Skewness2.193151
Sum3949
Variance2390.6633
MonotonicityNot monotonic
2023-12-13T07:29:40.671034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
59 3
 
6.1%
63 3
 
6.1%
80 2
 
4.1%
79 2
 
4.1%
67 2
 
4.1%
51 2
 
4.1%
60 2
 
4.1%
81 2
 
4.1%
10 2
 
4.1%
109 1
 
2.0%
Other values (28) 28
57.1%
ValueCountFrequency (%)
8 1
 
2.0%
9 1
 
2.0%
10 2
4.1%
40 1
 
2.0%
48 1
 
2.0%
50 1
 
2.0%
51 2
4.1%
56 1
 
2.0%
59 3
6.1%
60 2
4.1%
ValueCountFrequency (%)
298 1
2.0%
200 1
2.0%
180 1
2.0%
151 1
2.0%
129 1
2.0%
113 1
2.0%
110 1
2.0%
109 1
2.0%
106 1
2.0%
101 1
2.0%

Interactions

2023-12-13T07:29:38.780403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:29:40.763445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호영업소소재지(도로명)게임기수
상호1.0001.0000.977
영업소소재지(도로명)1.0001.0001.000
게임기수0.9771.0001.000

Missing values

2023-12-13T07:29:38.886991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:29:38.961700image/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

상호영업소소재지(도로명)게임기수
0M PC CAFE PC방부산광역시 북구 금곡대로285번길 22, 401호 (화명동, 월드타워)109
1아망떼pc존 만덕2호점부산광역시 북구 만덕2로 36, 2층 (만덕동)48
2아이러브컬러 PC Zone부산광역시 북구 백양대로1015번길 7 (구포동)59
3매드포 PC방부산광역시 북구 효열로 77 (금곡동)63
4넥스트 pc방부산광역시 북구 학사로 13 (화명동)79
5프렌즈 PC방부산광역시 북구 양달로4번길 11, 지하1층 (화명동)67
6아망떼 PC ZONE부산광역시 북구 모분재로 39, 2층 (구포동)56
7제니스 PC방부산광역시 북구 시랑로 23, 2층 (구포동)51
8콕스피씨방부산광역시 북구 덕천로 182, 202동 스포츠센타 302호 (만덕동, 벽산라인타운)72
9루나 PC부산광역시 북구 시랑로 88, 2층 (구포동)59
상호영업소소재지(도로명)게임기수
39The BEST PC Cafe부산광역시 북구 화명신도시로 120, 화명메디컬센터 지하1층 1호 (화명동)106
40NEXT PC Cafe 부산본점부산광역시 북구 만덕1로104번길 6, 2층 (만덕동)74
41라이킷 PC CAFE부산광역시 북구 만덕1로 11, 3,4층 (만덕동)73
42오엑스피시 금곡점부산광역시 북구 금곡대로638번길 9-7, 라현빌딩 5층 (금곡동)99
43앤유PC 화명점부산광역시 북구 화명신도시로 127, 범서미라클 3층 (화명동)151
44월드PC게임랜드부산광역시 북구 구포만세길 103, 1층 (구포동)10
45크라우드pc 부산화명점부산광역시 북구 금곡대로303번길 22, 정능빌딩 4층 (화명동)113
46랑채pc부산광역시 북구 구포만세길 95, 4층 (구포동)60
47OX PC 구포시랑로점부산광역시 북구 시랑로 42, 2층 (구포동)65
48지그재그포인트PC부산광역시 북구 만덕2로 20, 1층 (만덕동)40