Overview

Dataset statistics

Number of variables8
Number of observations78
Missing cells15
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory68.7 B

Variable types

Categorical2
Text3
Numeric3

Dataset

Description부산광역시 동래구 관내 게임장 현황에 대한 데이터로 업종명, 상호, 영업소소재지(도로명주소) 등의 항목을 제공합니다.
Author부산광역시 동래구
URLhttps://www.data.go.kr/data/3080991/fileData.do

Alerts

업종명 is highly overall correlated with 제공게임물구분High correlation
제공게임물구분 is highly overall correlated with 업종명High correlation
게임기수 is highly overall correlated with 시설면적High correlation
시설면적 is highly overall correlated with 게임기수High correlation
우편번호 has 9 (11.5%) missing valuesMissing
게임기수 has 6 (7.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:21:19.351932
Analysis finished2023-12-12 10:21:21.131817
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
인터넷컴퓨터게임시설제공업
33 
청소년게임제공업
13 
일반게임제공업
12 
복합유통게임제공업
9 
게임물제작업
9 

Length

Max length13
Median length9
Mean length9.7948718
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 33
42.3%
청소년게임제공업 13
 
16.7%
일반게임제공업 12
 
15.4%
복합유통게임제공업 9
 
11.5%
게임물제작업 9
 
11.5%
게임물배급업 2
 
2.6%

Length

2023-12-12T19:21:21.223977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:21.422623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 33
42.3%
청소년게임제공업 13
 
16.7%
일반게임제공업 12
 
15.4%
복합유통게임제공업 9
 
11.5%
게임물제작업 9
 
11.5%
게임물배급업 2
 
2.6%

상호명
Text

Distinct75
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T19:21:21.663431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length7.3461538
Min length2

Characters and Unicode

Total characters573
Distinct characters148
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

Unique72 ?
Unique (%)92.3%

Sample

1st row홀릭PC방
2nd row젠PC방
3rd row스페셜 PC방
4th rowOX PC 금정시장점
5th row인터포스PC
ValueCountFrequency (%)
pc 11
 
8.7%
ox 6
 
4.7%
pc방 5
 
3.9%
게임랜드 4
 
3.1%
안락점 3
 
2.4%
아이파크pc방 2
 
1.6%
zone 2
 
1.6%
청소년게임장 2
 
1.6%
그랜드 2
 
1.6%
vams 2
 
1.6%
Other values (86) 88
69.3%
2023-12-12T19:21:22.084186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
8.6%
P 38
 
6.6%
C 38
 
6.6%
드 21
 
3.7%
방 19
 
3.3%
임 19
 
3.3%
게 19
 
3.3%
랜 17
 
3.0%
점 16
 
2.8%
뽑 12
 
2.1%
Other values (138) 325
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
65.4%
Uppercase Letter 136
 
23.7%
Space Separator 49
 
8.6%
Lowercase Letter 12
 
2.1%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 21
 
5.6%
방 19
 
5.1%
임 19
 
5.1%
게 19
 
5.1%
랜 17
 
4.5%
점 16
 
4.3%
뽑 12
 
3.2%
기 12
 
3.2%
인 9
 
2.4%
아 8
 
2.1%
Other values (106) 223
59.5%
Uppercase Letter
ValueCountFrequency (%)
P 38
27.9%
C 38
27.9%
O 10
 
7.4%
X 7
 
5.1%
B 5
 
3.7%
V 4
 
2.9%
A 4
 
2.9%
E 3
 
2.2%
M 3
 
2.2%
S 3
 
2.2%
Other values (12) 21
15.4%
Lowercase Letter
ValueCountFrequency (%)
n 2
16.7%
p 2
16.7%
y 2
16.7%
o 2
16.7%
e 1
8.3%
u 1
8.3%
r 1
8.3%
a 1
8.3%
Space Separator
ValueCountFrequency (%)
49
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 375
65.4%
Latin 148
 
25.8%
Common 50
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 21
 
5.6%
방 19
 
5.1%
임 19
 
5.1%
게 19
 
5.1%
랜 17
 
4.5%
점 16
 
4.3%
뽑 12
 
3.2%
기 12
 
3.2%
인 9
 
2.4%
아 8
 
2.1%
Other values (106) 223
59.5%
Latin
ValueCountFrequency (%)
P 38
25.7%
C 38
25.7%
O 10
 
6.8%
X 7
 
4.7%
B 5
 
3.4%
V 4
 
2.7%
A 4
 
2.7%
E 3
 
2.0%
M 3
 
2.0%
S 3
 
2.0%
Other values (20) 33
22.3%
Common
ValueCountFrequency (%)
49
98.0%
3 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 375
65.4%
ASCII 198
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
24.7%
P 38
19.2%
C 38
19.2%
O 10
 
5.1%
X 7
 
3.5%
B 5
 
2.5%
V 4
 
2.0%
A 4
 
2.0%
E 3
 
1.5%
M 3
 
1.5%
Other values (22) 37
18.7%
Hangul
ValueCountFrequency (%)
드 21
 
5.6%
방 19
 
5.1%
임 19
 
5.1%
게 19
 
5.1%
랜 17
 
4.5%
점 16
 
4.3%
뽑 12
 
3.2%
기 12
 
3.2%
인 9
 
2.4%
아 8
 
2.1%
Other values (106) 223
59.5%

우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)60.9%
Missing9
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean47812.333
Minimum47710
Maximum47900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T19:21:22.236174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47710
5-th percentile47712
Q147786
median47814
Q347851
95-th percentile47890.6
Maximum47900
Range190
Interquartile range (IQR)65

Descriptive statistics

Standard deviation50.902348
Coefficient of variation (CV)0.001064628
Kurtosis-0.54799257
Mean47812.333
Median Absolute Deviation (MAD)32
Skewness-0.34186836
Sum3299051
Variance2591.049
MonotonicityNot monotonic
2023-12-12T19:21:22.365652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
47837 7
 
9.0%
47786 4
 
5.1%
47808 3
 
3.8%
47712 3
 
3.8%
47866 3
 
3.8%
47865 3
 
3.8%
47772 2
 
2.6%
47851 2
 
2.6%
47781 2
 
2.6%
47829 2
 
2.6%
Other values (32) 38
48.7%
(Missing) 9
 
11.5%
ValueCountFrequency (%)
47710 1
 
1.3%
47711 1
 
1.3%
47712 3
3.8%
47715 1
 
1.3%
47736 1
 
1.3%
47738 1
 
1.3%
47744 1
 
1.3%
47760 2
2.6%
47761 1
 
1.3%
47772 2
2.6%
ValueCountFrequency (%)
47900 2
2.6%
47896 1
 
1.3%
47891 1
 
1.3%
47890 1
 
1.3%
47877 1
 
1.3%
47875 1
 
1.3%
47867 1
 
1.3%
47866 3
3.8%
47865 3
3.8%
47864 1
 
1.3%

영업소소재지(도로명)
Text

Distinct77
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T19:21:22.646202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length30.948718
Min length22

Characters and Unicode

Total characters2414
Distinct characters116
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

Unique76 ?
Unique (%)97.4%

Sample

1st row부산광역시 동래구 안락로 74, 2층 (안락동)
2nd row부산광역시 동래구 온천장로 5-1 (온천동,(3층))
3rd row부산광역시 동래구 반송로273번길 7 (명장동,(지하1층))
4th row부산광역시 동래구 여고북로 160, 3층 (사직동)
5th row부산광역시 동래구 명장로20번길 84, 5층 (명장동)
ValueCountFrequency (%)
부산광역시 78
 
16.2%
동래구 78
 
16.2%
1층 20
 
4.2%
안락동 20
 
4.2%
온천동 19
 
4.0%
2층 19
 
4.0%
사직동 16
 
3.3%
명장동 9
 
1.9%
3층 9
 
1.9%
명륜동 8
 
1.7%
Other values (130) 205
42.6%
2023-12-12T19:21:23.069362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
 
16.8%
동 163
 
6.8%
) 86
 
3.6%
( 86
 
3.6%
시 85
 
3.5%
1 84
 
3.5%
광 79
 
3.3%
역 79
 
3.3%
래 79
 
3.3%
구 79
 
3.3%
Other values (106) 1189
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1389
57.5%
Space Separator 405
 
16.8%
Decimal Number 353
 
14.6%
Close Punctuation 86
 
3.6%
Open Punctuation 86
 
3.6%
Other Punctuation 70
 
2.9%
Uppercase Letter 14
 
0.6%
Dash Punctuation 10
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 163
 
11.7%
시 85
 
6.1%
광 79
 
5.7%
역 79
 
5.7%
래 79
 
5.7%
구 79
 
5.7%
부 78
 
5.6%
산 78
 
5.6%
로 78
 
5.6%
층 67
 
4.8%
Other values (81) 524
37.7%
Decimal Number
ValueCountFrequency (%)
1 84
23.8%
2 68
19.3%
3 41
11.6%
4 31
 
8.8%
8 30
 
8.5%
0 24
 
6.8%
5 24
 
6.8%
6 21
 
5.9%
9 17
 
4.8%
7 13
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
K 3
21.4%
A 2
14.3%
Y 1
 
7.1%
B 1
 
7.1%
U 1
 
7.1%
H 1
 
7.1%
P 1
 
7.1%
C 1
 
7.1%
Space Separator
ValueCountFrequency (%)
405
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Other Punctuation
ValueCountFrequency (%)
, 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1389
57.5%
Common 1011
41.9%
Latin 14
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 163
 
11.7%
시 85
 
6.1%
광 79
 
5.7%
역 79
 
5.7%
래 79
 
5.7%
구 79
 
5.7%
부 78
 
5.6%
산 78
 
5.6%
로 78
 
5.6%
층 67
 
4.8%
Other values (81) 524
37.7%
Common
ValueCountFrequency (%)
405
40.1%
) 86
 
8.5%
( 86
 
8.5%
1 84
 
8.3%
, 70
 
6.9%
2 68
 
6.7%
3 41
 
4.1%
4 31
 
3.1%
8 30
 
3.0%
0 24
 
2.4%
Other values (6) 86
 
8.5%
Latin
ValueCountFrequency (%)
S 3
21.4%
K 3
21.4%
A 2
14.3%
Y 1
 
7.1%
B 1
 
7.1%
U 1
 
7.1%
H 1
 
7.1%
P 1
 
7.1%
C 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1389
57.5%
ASCII 1025
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
39.5%
) 86
 
8.4%
( 86
 
8.4%
1 84
 
8.2%
, 70
 
6.8%
2 68
 
6.6%
3 41
 
4.0%
4 31
 
3.0%
8 30
 
2.9%
0 24
 
2.3%
Other values (15) 100
 
9.8%
Hangul
ValueCountFrequency (%)
동 163
 
11.7%
시 85
 
6.1%
광 79
 
5.7%
역 79
 
5.7%
래 79
 
5.7%
구 79
 
5.7%
부 78
 
5.6%
산 78
 
5.6%
로 78
 
5.6%
층 67
 
4.8%
Other values (81) 524
37.7%

영업소소재지(지번)
Text

Distinct73
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T19:21:23.351020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length22.782051
Min length18

Characters and Unicode

Total characters1777
Distinct characters92
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

Unique68 ?
Unique (%)87.2%

Sample

1st row부산광역시 동래구 안락동 448-2
2nd row부산광역시 동래구 온천동 473-9 (3층)
3rd row부산광역시 동래구 명장동 29-2 (지하1층)
4th row부산광역시 동래구 사직동 140-8
5th row부산광역시 동래구 명장동 63-9 삼성타운상가 제1동 501,502
ValueCountFrequency (%)
부산광역시 78
22.5%
동래구 78
22.5%
온천동 22
 
6.4%
안락동 21
 
6.1%
사직동 16
 
4.6%
명장동 11
 
3.2%
명륜동 8
 
2.3%
425-105 2
 
0.6%
1248-2 2
 
0.6%
지하1층 2
 
0.6%
Other values (94) 106
30.6%
2023-12-12T19:21:23.786848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
346
19.5%
동 161
 
9.1%
광 79
 
4.4%
역 79
 
4.4%
구 79
 
4.4%
부 78
 
4.4%
시 78
 
4.4%
래 78
 
4.4%
산 78
 
4.4%
- 74
 
4.2%
Other values (82) 647
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 969
54.5%
Decimal Number 359
 
20.2%
Space Separator 346
 
19.5%
Dash Punctuation 74
 
4.2%
Uppercase Letter 12
 
0.7%
Open Punctuation 8
 
0.5%
Close Punctuation 8
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 161
16.6%
광 79
 
8.2%
역 79
 
8.2%
구 79
 
8.2%
부 78
 
8.0%
시 78
 
8.0%
래 78
 
8.0%
산 78
 
8.0%
안 23
 
2.4%
천 23
 
2.4%
Other values (59) 213
22.0%
Decimal Number
ValueCountFrequency (%)
1 62
17.3%
4 55
15.3%
2 42
11.7%
3 40
11.1%
5 35
9.7%
6 31
8.6%
9 27
7.5%
8 26
7.2%
7 24
 
6.7%
0 17
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
25.0%
K 3
25.0%
H 1
 
8.3%
U 1
 
8.3%
B 1
 
8.3%
C 1
 
8.3%
P 1
 
8.3%
Y 1
 
8.3%
Space Separator
ValueCountFrequency (%)
346
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 969
54.5%
Common 796
44.8%
Latin 12
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 161
16.6%
광 79
 
8.2%
역 79
 
8.2%
구 79
 
8.2%
부 78
 
8.0%
시 78
 
8.0%
래 78
 
8.0%
산 78
 
8.0%
안 23
 
2.4%
천 23
 
2.4%
Other values (59) 213
22.0%
Common
ValueCountFrequency (%)
346
43.5%
- 74
 
9.3%
1 62
 
7.8%
4 55
 
6.9%
2 42
 
5.3%
3 40
 
5.0%
5 35
 
4.4%
6 31
 
3.9%
9 27
 
3.4%
8 26
 
3.3%
Other values (5) 58
 
7.3%
Latin
ValueCountFrequency (%)
S 3
25.0%
K 3
25.0%
H 1
 
8.3%
U 1
 
8.3%
B 1
 
8.3%
C 1
 
8.3%
P 1
 
8.3%
Y 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 969
54.5%
ASCII 808
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
346
42.8%
- 74
 
9.2%
1 62
 
7.7%
4 55
 
6.8%
2 42
 
5.2%
3 40
 
5.0%
5 35
 
4.3%
6 31
 
3.8%
9 27
 
3.3%
8 26
 
3.2%
Other values (13) 70
 
8.7%
Hangul
ValueCountFrequency (%)
동 161
16.6%
광 79
 
8.2%
역 79
 
8.2%
구 79
 
8.2%
부 78
 
8.0%
시 78
 
8.0%
래 78
 
8.0%
산 78
 
8.0%
안 23
 
2.4%
천 23
 
2.4%
Other values (59) 213
22.0%

제공게임물구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
전체이용가
57 
청소년이용불가
11 
<NA>
10 

Length

Max length7
Median length5
Mean length5.1538462
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row전체이용가
3rd row전체이용가
4th row전체이용가
5th row전체이용가

Common Values

ValueCountFrequency (%)
전체이용가 57
73.1%
청소년이용불가 11
 
14.1%
<NA> 10
 
12.8%

Length

2023-12-12T19:21:23.938716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:21:24.060124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 57
73.1%
청소년이용불가 11
 
14.1%
na 10
 
12.8%

게임기수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct44
Distinct (%)61.1%
Missing6
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean62.180556
Minimum4
Maximum173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T19:21:24.198274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q116
median70
Q399
95-th percentile121.35
Maximum173
Range169
Interquartile range (IQR)83

Descriptive statistics

Standard deviation42.166446
Coefficient of variation (CV)0.67812913
Kurtosis-0.89533769
Mean62.180556
Median Absolute Deviation (MAD)33.5
Skewness0.20283559
Sum4477
Variance1778.0092
MonotonicityNot monotonic
2023-12-12T19:21:24.434221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
100 5
 
6.4%
80 4
 
5.1%
40 4
 
5.1%
11 3
 
3.8%
13 3
 
3.8%
106 3
 
3.8%
91 3
 
3.8%
15 2
 
2.6%
16 2
 
2.6%
10 2
 
2.6%
Other values (34) 41
52.6%
(Missing) 6
 
7.7%
ValueCountFrequency (%)
4 1
 
1.3%
6 1
 
1.3%
7 1
 
1.3%
8 2
2.6%
9 1
 
1.3%
10 2
2.6%
11 3
3.8%
13 3
3.8%
14 1
 
1.3%
15 2
2.6%
ValueCountFrequency (%)
173 1
 
1.3%
149 1
 
1.3%
140 1
 
1.3%
123 1
 
1.3%
120 1
 
1.3%
106 3
3.8%
104 2
 
2.6%
103 2
 
2.6%
100 5
6.4%
99 2
 
2.6%

시설면적
Real number (ℝ)

HIGH CORRELATION 

Distinct75
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.13936
Minimum24.75
Maximum494.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T19:21:24.912658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24.75
5-th percentile30
Q177.4025
median198.405
Q3289.88
95-th percentile366.8495
Maximum494.97
Range470.22
Interquartile range (IQR)212.4775

Descriptive statistics

Standard deviation118.00075
Coefficient of variation (CV)0.61096172
Kurtosis-0.71864489
Mean193.13936
Median Absolute Deviation (MAD)97.945
Skewness0.17261079
Sum15064.87
Variance13924.178
MonotonicityNot monotonic
2023-12-12T19:21:25.078975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
296.36 2
 
2.6%
30.0 2
 
2.6%
261.97 2
 
2.6%
140.4 1
 
1.3%
101.8 1
 
1.3%
51.6 1
 
1.3%
36.6 1
 
1.3%
86.9 1
 
1.3%
154.08 1
 
1.3%
184.01 1
 
1.3%
Other values (65) 65
83.3%
ValueCountFrequency (%)
24.75 1
1.3%
27.0 1
1.3%
28.35 1
1.3%
30.0 2
2.6%
31.95 1
1.3%
32.0 1
1.3%
32.67 1
1.3%
36.6 1
1.3%
37.0 1
1.3%
37.52 1
1.3%
ValueCountFrequency (%)
494.97 1
1.3%
469.94 1
1.3%
396.69 1
1.3%
383.79 1
1.3%
363.86 1
1.3%
348.36 1
1.3%
344.32 1
1.3%
326.79 1
1.3%
317.83 1
1.3%
316.65 1
1.3%

Interactions

2023-12-12T19:21:20.550706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:20.005354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:20.261713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:20.626642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:20.094360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:20.389992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:20.700787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:20.180328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:21:20.479209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:21:25.189014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명상호명우편번호영업소소재지(도로명)영업소소재지(지번)제공게임물구분게임기수시설면적
업종명1.0000.9630.1600.8240.6250.9970.6520.616
상호명0.9631.0000.9881.0000.9941.0001.0000.986
우편번호0.1600.9881.0001.0001.0000.6320.3260.389
영업소소재지(도로명)0.8241.0001.0001.0001.0001.0001.0001.000
영업소소재지(지번)0.6250.9941.0001.0001.0000.3390.0000.847
제공게임물구분0.9971.0000.6321.0000.3391.0000.3960.398
게임기수0.6521.0000.3261.0000.0000.3961.0000.757
시설면적0.6160.9860.3891.0000.8470.3980.7571.000
2023-12-12T19:21:25.331256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명제공게임물구분
업종명1.0000.918
제공게임물구분0.9181.000
2023-12-12T19:21:25.439786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호게임기수시설면적업종명제공게임물구분
우편번호1.0000.0320.0750.0000.385
게임기수0.0321.0000.8230.4020.370
시설면적0.0750.8231.0000.3520.375
업종명0.0000.4020.3521.0000.918
제공게임물구분0.3850.3700.3750.9181.000

Missing values

2023-12-12T19:21:20.826434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:21:20.955505image/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.
2023-12-12T19:21:21.067240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명상호명우편번호영업소소재지(도로명)영업소소재지(지번)제공게임물구분게임기수시설면적
0인터넷컴퓨터게임시설제공업홀릭PC방47790부산광역시 동래구 안락로 74, 2층 (안락동)부산광역시 동래구 안락동 448-2<NA>70295.34
1인터넷컴퓨터게임시설제공업젠PC방<NA>부산광역시 동래구 온천장로 5-1 (온천동,(3층))부산광역시 동래구 온천동 473-9 (3층)전체이용가56156.68
2인터넷컴퓨터게임시설제공업스페셜 PC방<NA>부산광역시 동래구 반송로273번길 7 (명장동,(지하1층))부산광역시 동래구 명장동 29-2 (지하1층)전체이용가81315.29
3인터넷컴퓨터게임시설제공업OX PC 금정시장점47830부산광역시 동래구 여고북로 160, 3층 (사직동)부산광역시 동래구 사직동 140-8전체이용가104247.5
4인터넷컴퓨터게임시설제공업인터포스PC47781부산광역시 동래구 명장로20번길 84, 5층 (명장동)부산광역시 동래구 명장동 63-9 삼성타운상가 제1동 501,502전체이용가100263.5
5인터넷컴퓨터게임시설제공업아이파크PC방<NA>부산광역시 동래구 중앙대로1367번길 48 (온천동,(3층)(금연구역설치)(PC대))부산광역시 동래구 온천동 751-24 (3층)(금연구역설치)(PC대)전체이용가79249.61
6인터넷컴퓨터게임시설제공업제로스PC47865부산광역시 동래구 사직북로 1 (사직동)부산광역시 동래구 사직동 92-7전체이용가99295.49
7인터넷컴퓨터게임시설제공업ZEN PC방47787부산광역시 동래구 충렬대로359번길 38, 3층 (안락동)부산광역시 동래구 안락동 430-61전체이용가70237.8
8인터넷컴퓨터게임시설제공업아이파크PC방47890부산광역시 동래구 충렬대로428번길 26, 2층 (안락동)부산광역시 동래구 안락동 603-75<NA>82196.67
9인터넷컴퓨터게임시설제공업PC토랑 사직점47859부산광역시 동래구 사직북로 38, 2층 (사직동)부산광역시 동래구 사직동 25-30<NA>60193.84
업종명상호명우편번호영업소소재지(도로명)영업소소재지(지번)제공게임물구분게임기수시설면적
68청소년게임제공업BBOKKI BAY347760부산광역시 동래구 서동중심로7번길 3, 1층 (명장동)부산광역시 동래구 명장동 491-45전체이용가1324.75
69청소년게임제공업JD인형뽑기47896부산광역시 동래구 충렬대로428번길 69-1, 1층 (안락동)부산광역시 동래구 안락동 245-31전체이용가1537.61
70청소년게임제공업VAMS47866부산광역시 동래구 사직북로 4, 사직동 자이언츠 파크 지하 1층 (사직동)부산광역시 동래구 사직동 93-6 사직동 자이언츠 파크전체이용가25296.36
71청소년게임제공업인형뽑기세상47772부산광역시 동래구 명장로20번길 26, 1층 (명장동)부산광역시 동래구 명장동 59-5전체이용가1578.82
72청소년게임제공업조아조아뽑기샵47865부산광역시 동래구 사직북로 13, 1층 (사직동)부산광역시 동래구 사직동 78-38전체이용가1859.0
73청소년게임제공업플레이샵 인형뽑기47772부산광역시 동래구 명안로85번길 48, 1층 (명장동)부산광역시 동래구 명장동 60-13전체이용가1132.0
74청소년게임제공업픽미픽미47900부산광역시 동래구 안남로 108, 화성코아 1층 105호 (안락동)부산광역시 동래구 안락동 243-1 화성코아전체이용가1676.93
75청소년게임제공업뽑기어때47839부산광역시 동래구 여고북로 77, 1층 (온천동)부산광역시 동래구 온천동 1377-34전체이용가937.52
76청소년게임제공업VAVI인형뽑기47789부산광역시 동래구 명안로 23 (안락동)부산광역시 동래구 안락동 447-19전체이용가427.0
77청소년게임제공업뽑기어때47787부산광역시 동래구 안락로 26, 1층 (안락동)부산광역시 동래구 안락동 429-38전체이용가1454.21