Overview

Dataset statistics

Number of variables5
Number of observations151
Missing cells11
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory43.9 B

Variable types

Numeric3
Text2

Dataset

Description2017년 6월 대구동구인터넷컴퓨터게임시설제공업 현황
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3055763&dataSetDetailId=30557631ecd965eaeb90_201809201447&provdMethod=FILE

Alerts

시설면적 is highly overall correlated with 총게임기수High correlation
총게임기수 is highly overall correlated with 시설면적High correlation
총게임기수 has 11 (7.3%) missing valuesMissing
번호 has unique valuesUnique
도로명전체주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 20:08:49.893333
Analysis finished2023-12-10 20:08:51.760840
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76
Minimum1
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:08:51.856466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.5
Q138.5
median76
Q3113.5
95-th percentile143.5
Maximum151
Range150
Interquartile range (IQR)75

Descriptive statistics

Standard deviation43.734045
Coefficient of variation (CV)0.57544796
Kurtosis-1.2
Mean76
Median Absolute Deviation (MAD)38
Skewness0
Sum11476
Variance1912.6667
MonotonicityStrictly increasing
2023-12-11T05:08:52.089211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
105 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
106 1
 
0.7%
Other values (141) 141
93.4%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%

사업장명
Text

Distinct145
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T05:08:52.569821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.2715232
Min length2

Characters and Unicode

Total characters947
Distinct characters203
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

Unique139 ?
Unique (%)92.1%

Sample

1st row황금돼지PC방
2nd row3 POP PC
3rd row바닐라 피시방
4th row초이스PC방
5th row스타덤PC대구방촌역점
ValueCountFrequency (%)
pc방 8
 
4.3%
이노스페이스 4
 
2.2%
pc 4
 
2.2%
피시방 3
 
1.6%
포그네pc방 2
 
1.1%
라이또pc방 2
 
1.1%
스타덤pc 2
 
1.1%
효목점 2
 
1.1%
대구본점 2
 
1.1%
황금돼지pc 2
 
1.1%
Other values (150) 155
83.3%
2023-12-11T05:08:53.198182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 114
 
12.0%
C 111
 
11.7%
방 83
 
8.8%
이 51
 
5.4%
스 39
 
4.1%
35
 
3.7%
피 20
 
2.1%
점 17
 
1.8%
시 13
 
1.4%
) 13
 
1.4%
Other values (193) 451
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 595
62.8%
Uppercase Letter 248
26.2%
Space Separator 35
 
3.7%
Lowercase Letter 34
 
3.6%
Close Punctuation 13
 
1.4%
Open Punctuation 13
 
1.4%
Decimal Number 7
 
0.7%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 83
 
13.9%
이 51
 
8.6%
스 39
 
6.6%
피 20
 
3.4%
점 17
 
2.9%
시 13
 
2.2%
대 10
 
1.7%
아 10
 
1.7%
지 10
 
1.7%
존 8
 
1.3%
Other values (157) 334
56.1%
Uppercase Letter
ValueCountFrequency (%)
P 114
46.0%
C 111
44.8%
O 3
 
1.2%
G 2
 
0.8%
B 2
 
0.8%
D 2
 
0.8%
L 2
 
0.8%
K 2
 
0.8%
J 2
 
0.8%
M 1
 
0.4%
Other values (7) 7
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
p 5
14.7%
c 5
14.7%
e 5
14.7%
o 5
14.7%
n 4
11.8%
s 3
8.8%
z 3
8.8%
t 1
 
2.9%
i 1
 
2.9%
m 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 595
62.8%
Latin 282
29.8%
Common 70
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 83
 
13.9%
이 51
 
8.6%
스 39
 
6.6%
피 20
 
3.4%
점 17
 
2.9%
시 13
 
2.2%
대 10
 
1.7%
아 10
 
1.7%
지 10
 
1.7%
존 8
 
1.3%
Other values (157) 334
56.1%
Latin
ValueCountFrequency (%)
P 114
40.4%
C 111
39.4%
p 5
 
1.8%
c 5
 
1.8%
e 5
 
1.8%
o 5
 
1.8%
n 4
 
1.4%
s 3
 
1.1%
z 3
 
1.1%
O 3
 
1.1%
Other values (18) 24
 
8.5%
Common
ValueCountFrequency (%)
35
50.0%
) 13
 
18.6%
( 13
 
18.6%
2 4
 
5.7%
1 2
 
2.9%
. 1
 
1.4%
- 1
 
1.4%
3 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 595
62.8%
ASCII 352
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 114
32.4%
C 111
31.5%
35
 
9.9%
) 13
 
3.7%
( 13
 
3.7%
p 5
 
1.4%
c 5
 
1.4%
e 5
 
1.4%
o 5
 
1.4%
n 4
 
1.1%
Other values (26) 42
 
11.9%
Hangul
ValueCountFrequency (%)
방 83
 
13.9%
이 51
 
8.6%
스 39
 
6.6%
피 20
 
3.4%
점 17
 
2.9%
시 13
 
2.2%
대 10
 
1.7%
아 10
 
1.7%
지 10
 
1.7%
존 8
 
1.3%
Other values (157) 334
56.1%

도로명전체주소
Text

UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T05:08:53.582563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length27.072848
Min length18

Characters and Unicode

Total characters4088
Distinct characters106
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

Unique151 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 팔공로 165, 1층 (불로동)
2nd row대구광역시 동구 동부로30길 7, 6층 (신천동)
3rd row대구광역시 동구 효신로 16, 1층 104호 (효목동)
4th row대구광역시 동구 혁신대로35길 7, 1층 (각산동)
5th row대구광역시 동구 동촌로 267, 3층 (방촌동)
ValueCountFrequency (%)
대구광역시 151
 
17.1%
동구 150
 
16.9%
1층 41
 
4.6%
신암동 32
 
3.6%
2층 30
 
3.4%
효목동 27
 
3.1%
신천동 18
 
2.0%
방촌동 17
 
1.9%
3층 17
 
1.9%
아양로 14
 
1.6%
Other values (216) 388
43.8%
2023-12-11T05:08:54.204253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
739
18.1%
동 363
 
8.9%
구 303
 
7.4%
대 158
 
3.9%
역 156
 
3.8%
로 155
 
3.8%
) 152
 
3.7%
광 152
 
3.7%
( 152
 
3.7%
시 151
 
3.7%
Other values (96) 1607
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2256
55.2%
Space Separator 739
 
18.1%
Decimal Number 642
 
15.7%
Close Punctuation 152
 
3.7%
Open Punctuation 152
 
3.7%
Other Punctuation 129
 
3.2%
Dash Punctuation 18
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 363
16.1%
구 303
13.4%
대 158
 
7.0%
역 156
 
6.9%
로 155
 
6.9%
광 152
 
6.7%
시 151
 
6.7%
층 109
 
4.8%
신 80
 
3.5%
길 63
 
2.8%
Other values (80) 566
25.1%
Decimal Number
ValueCountFrequency (%)
1 146
22.7%
2 117
18.2%
3 88
13.7%
0 61
9.5%
4 54
 
8.4%
5 48
 
7.5%
6 37
 
5.8%
9 33
 
5.1%
7 31
 
4.8%
8 27
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 128
99.2%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
739
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2256
55.2%
Common 1832
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 363
16.1%
구 303
13.4%
대 158
 
7.0%
역 156
 
6.9%
로 155
 
6.9%
광 152
 
6.7%
시 151
 
6.7%
층 109
 
4.8%
신 80
 
3.5%
길 63
 
2.8%
Other values (80) 566
25.1%
Common
ValueCountFrequency (%)
739
40.3%
) 152
 
8.3%
( 152
 
8.3%
1 146
 
8.0%
, 128
 
7.0%
2 117
 
6.4%
3 88
 
4.8%
0 61
 
3.3%
4 54
 
2.9%
5 48
 
2.6%
Other values (6) 147
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2256
55.2%
ASCII 1832
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
739
40.3%
) 152
 
8.3%
( 152
 
8.3%
1 146
 
8.0%
, 128
 
7.0%
2 117
 
6.4%
3 88
 
4.8%
0 61
 
3.3%
4 54
 
2.9%
5 48
 
2.6%
Other values (6) 147
 
8.0%
Hangul
ValueCountFrequency (%)
동 363
16.1%
구 303
13.4%
대 158
 
7.0%
역 156
 
6.9%
로 155
 
6.9%
광 152
 
6.7%
시 151
 
6.7%
층 109
 
4.8%
신 80
 
3.5%
길 63
 
2.8%
Other values (80) 566
25.1%

시설면적
Real number (ℝ)

HIGH CORRELATION 

Distinct141
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.64325
Minimum17.5
Maximum2726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:08:54.424759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.5
5-th percentile24.115
Q146.42
median171.6
Q3237.42
95-th percentile328.94
Maximum2726
Range2708.5
Interquartile range (IQR)191

Descriptive statistics

Standard deviation232.9527
Coefficient of variation (CV)1.3338775
Kurtosis96.862425
Mean174.64325
Median Absolute Deviation (MAD)97.74
Skewness8.8548701
Sum26371.13
Variance54266.961
MonotonicityNot monotonic
2023-12-11T05:08:54.649466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 5
 
3.3%
35.0 3
 
2.0%
37.66 2
 
1.3%
30.0 2
 
1.3%
160.0 2
 
1.3%
49.5 2
 
1.3%
29.6 1
 
0.7%
173.37 1
 
0.7%
192.15 1
 
0.7%
367.21 1
 
0.7%
Other values (131) 131
86.8%
ValueCountFrequency (%)
17.5 1
0.7%
19.8 1
0.7%
20.16 1
0.7%
21.18 1
0.7%
22.0 1
0.7%
22.1 1
0.7%
22.44 1
0.7%
23.87 1
0.7%
24.36 1
0.7%
26.0 1
0.7%
ValueCountFrequency (%)
2726.0 1
0.7%
439.29 1
0.7%
404.32 1
0.7%
393.27 1
0.7%
367.21 1
0.7%
341.0 1
0.7%
335.04 1
0.7%
333.19 1
0.7%
324.69 1
0.7%
317.34 1
0.7%

총게임기수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct59
Distinct (%)42.1%
Missing11
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean49.785714
Minimum2
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:08:54.857979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median59
Q377.25
95-th percentile115.05
Maximum141
Range139
Interquartile range (IQR)71.25

Descriptive statistics

Standard deviation38.896244
Coefficient of variation (CV)0.78127319
Kurtosis-1.0802644
Mean49.785714
Median Absolute Deviation (MAD)36.5
Skewness0.20201075
Sum6970
Variance1512.9178
MonotonicityNot monotonic
2023-12-11T05:08:55.063126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 19
 
12.6%
6 12
 
7.9%
7 10
 
6.6%
60 9
 
6.0%
4 4
 
2.6%
50 4
 
2.6%
91 3
 
2.0%
65 3
 
2.0%
70 3
 
2.0%
62 3
 
2.0%
Other values (49) 70
46.4%
(Missing) 11
 
7.3%
ValueCountFrequency (%)
2 2
 
1.3%
3 2
 
1.3%
4 4
 
2.6%
5 19
12.6%
6 12
7.9%
7 10
6.6%
8 2
 
1.3%
10 1
 
0.7%
27 1
 
0.7%
30 1
 
0.7%
ValueCountFrequency (%)
141 1
0.7%
140 1
0.7%
130 1
0.7%
126 1
0.7%
118 1
0.7%
117 1
0.7%
116 1
0.7%
115 1
0.7%
114 1
0.7%
106 1
0.7%

Interactions

2023-12-11T05:08:50.848393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:08:50.190513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:08:50.504916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:08:50.977676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:08:50.300986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:08:50.624482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:08:51.405277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:08:50.403668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:08:50.714745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T05:08:55.196759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시설면적총게임기수
번호1.0000.1510.414
시설면적0.1511.0000.675
총게임기수0.4140.6751.000
2023-12-11T05:08:55.299190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시설면적총게임기수
번호1.0000.4450.487
시설면적0.4451.0000.902
총게임기수0.4870.9021.000

Missing values

2023-12-11T05:08:51.576712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T05:08:51.712866image/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

번호사업장명도로명전체주소시설면적총게임기수
01황금돼지PC방대구광역시 동구 팔공로 165, 1층 (불로동)29.66
123 POP PC대구광역시 동구 동부로30길 7, 6층 (신천동)393.27141
23바닐라 피시방대구광역시 동구 효신로 16, 1층 104호 (효목동)37.667
34초이스PC방대구광역시 동구 혁신대로35길 7, 1층 (각산동)45.42
45스타덤PC대구방촌역점대구광역시 동구 동촌로 267, 3층 (방촌동)158.7154
56이벤트PC대구광역시 동구 동부로30길 69-4, 1층 (신천동)48.465
67바닐라PC방대구광역시 동구 효서로 41, 1층 (효목동)35.07
78에이스PC방대구광역시 동구 동촌역사로3길 51, 1층 (입석동)44.262
89이노스페이스 신천점대구광역시 동구 동부로16길 9, 2층 (신천동)205.365
910알라딘PC대구광역시 동구 동촌로45길 13 (방촌동)85.577
번호사업장명도로명전체주소시설면적총게임기수
141142엔조이락 PC방대구광역시 동구 율하동로24길 35 (신기동,외 4필지(293-2,286-6,290.12,296))299.0877
142143아이넥스PC대구광역시 동구 아양로 170, 2층 (신암동)173.0753
143144애플PC방대구광역시 동구 효서로 23, 2층 (효목동)226.675
144145우리동네PC방대구광역시 동구 해동로 47 (지저동,가동)132.4850
145146아우토반PC방대구광역시 동구 팔공로101길 39, 5층 (지묘동, 대영빌딩)234.366
146147인터칸PC방대구광역시 동구 동부로 19 (신천동)196.759
147148더원피시방대구광역시 동구 화랑로 77, 3층 (효목동)251.38102
148149zenes(제네스)대구광역시 동구 아양로 46, 3층 (신암동)439.29130
149150점프(JUMP)대구광역시 동구 신암로 98, 지하1층 (신암동)311.91115
150151컴온피씨방대구광역시 동구 동촌로 223 (방촌동,외2필지(910-5,909-5))146.1548