Overview

Dataset statistics

Number of variables9
Number of observations100
Missing cells51
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory76.3 B

Variable types

Numeric3
Categorical1
DateTime2
Text3

Dataset

Description경상남도 거제시 게임제공업소 현황 자료입니다. 인터넷컴퓨터게임시설제공업, 복합유통게임제공업, 일반게임제공업, 청소년게임제공업 등의 상호명, 지번, 도로명, 위경도 좌표정보을 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079213

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
경도 has 25 (25.0%) missing valuesMissing
위도 has 25 (25.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:56:24.513843
Analysis finished2023-12-11 00:56:26.476983
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T09:56:26.543121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-11T09:56:26.669259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

업종명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
인터넷컴퓨터게임시설제공업
62 
청소년게임제공업
28 
복합유통게임제공업
7 
일반게임제공업
 
3

Length

Max length13
Median length13
Mean length11.14
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 62
62.0%
청소년게임제공업 28
28.0%
복합유통게임제공업 7
 
7.0%
일반게임제공업 3
 
3.0%

Length

2023-12-11T09:56:26.782279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:56:26.866625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 62
62.0%
청소년게임제공업 28
28.0%
복합유통게임제공업 7
 
7.0%
일반게임제공업 3
 
3.0%

등록(신고)일자
Date

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2007-07-25 00:00:00
Maximum2020-04-23 00:00:00
2023-12-11T09:56:26.969747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:27.117604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-11T09:56:27.606749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.92
Min length2

Characters and Unicode

Total characters692
Distinct characters168
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

Unique94 ?
Unique (%)94.0%

Sample

1st row블루넷 PC방
2nd rowMX5
3rd row메트로 PC방
4th row짱pc방
5th row피씨토랑 거제본점 2호점
ValueCountFrequency (%)
pc방 5
 
4.1%
갤러리pc방 2
 
1.6%
엔터pc방 2
 
1.6%
세븐게임랜드 2
 
1.6%
pc존 2
 
1.6%
짱pc방 2
 
1.6%
pc 2
 
1.6%
스타덤pc거제본점 1
 
0.8%
파크 1
 
0.8%
게임랜드 1
 
0.8%
Other values (102) 102
83.6%
2023-12-11T09:56:27.988592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 56
 
8.1%
C 55
 
7.9%
방 31
 
4.5%
점 24
 
3.5%
22
 
3.2%
게 19
 
2.7%
( 18
 
2.6%
임 18
 
2.6%
) 18
 
2.6%
드 16
 
2.3%
Other values (158) 415
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
71.8%
Uppercase Letter 120
 
17.3%
Space Separator 22
 
3.2%
Open Punctuation 18
 
2.6%
Close Punctuation 18
 
2.6%
Lowercase Letter 13
 
1.9%
Decimal Number 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 31
 
6.2%
점 24
 
4.8%
게 19
 
3.8%
임 18
 
3.6%
드 16
 
3.2%
스 15
 
3.0%
이 15
 
3.0%
아 15
 
3.0%
랜 15
 
3.0%
피 12
 
2.4%
Other values (136) 317
63.8%
Uppercase Letter
ValueCountFrequency (%)
P 56
46.7%
C 55
45.8%
M 2
 
1.7%
N 2
 
1.7%
G 1
 
0.8%
R 1
 
0.8%
E 1
 
0.8%
T 1
 
0.8%
X 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
p 5
38.5%
c 4
30.8%
e 1
 
7.7%
n 1
 
7.7%
o 1
 
7.7%
z 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
2 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 497
71.8%
Latin 133
 
19.2%
Common 62
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 31
 
6.2%
점 24
 
4.8%
게 19
 
3.8%
임 18
 
3.6%
드 16
 
3.2%
스 15
 
3.0%
이 15
 
3.0%
아 15
 
3.0%
랜 15
 
3.0%
피 12
 
2.4%
Other values (136) 317
63.8%
Latin
ValueCountFrequency (%)
P 56
42.1%
C 55
41.4%
p 5
 
3.8%
c 4
 
3.0%
M 2
 
1.5%
N 2
 
1.5%
G 1
 
0.8%
e 1
 
0.8%
n 1
 
0.8%
o 1
 
0.8%
Other values (5) 5
 
3.8%
Common
ValueCountFrequency (%)
22
35.5%
( 18
29.0%
) 18
29.0%
3 1
 
1.6%
- 1
 
1.6%
2 1
 
1.6%
5 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
71.8%
ASCII 195
 
28.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 56
28.7%
C 55
28.2%
22
 
11.3%
( 18
 
9.2%
) 18
 
9.2%
p 5
 
2.6%
c 4
 
2.1%
M 2
 
1.0%
N 2
 
1.0%
G 1
 
0.5%
Other values (12) 12
 
6.2%
Hangul
ValueCountFrequency (%)
방 31
 
6.2%
점 24
 
4.8%
게 19
 
3.8%
임 18
 
3.6%
드 16
 
3.2%
스 15
 
3.0%
이 15
 
3.0%
아 15
 
3.0%
랜 15
 
3.0%
피 12
 
2.4%
Other values (136) 317
63.8%

영업소소재지(도로명)
Text

Distinct99
Distinct (%)100.0%
Missing1
Missing (%)1.0%
Memory size932.0 B
2023-12-11T09:56:28.263555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length43
Mean length30.959596
Min length21

Characters and Unicode

Total characters3065
Distinct characters128
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 중곡로1길 36-5, 2층 (고현동)
2nd row경상남도 거제시 장평3로7길 31 (장평동,(2층))
3rd row경상남도 거제시 거제중앙로 1913 (고현동,동주빌딩 5층)
4th row경상남도 거제시 옥포대첩로2길 48 (옥포동)
5th row경상남도 거제시 거제중앙로 1766, 1층 (상동동)
ValueCountFrequency (%)
경상남도 99
 
15.6%
거제시 99
 
15.6%
고현동 31
 
4.9%
1층 26
 
4.1%
2층 23
 
3.6%
옥포동 21
 
3.3%
장평동 9
 
1.4%
3층 9
 
1.4%
아주동 8
 
1.3%
4층 7
 
1.1%
Other values (191) 301
47.6%
2023-12-11T09:56:28.678605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
538
 
17.6%
1 158
 
5.2%
제 116
 
3.8%
거 115
 
3.8%
, 114
 
3.7%
상 111
 
3.6%
동 108
 
3.5%
시 103
 
3.4%
) 101
 
3.3%
( 101
 
3.3%
Other values (118) 1500
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1656
54.0%
Space Separator 538
 
17.6%
Decimal Number 520
 
17.0%
Other Punctuation 115
 
3.8%
Close Punctuation 101
 
3.3%
Open Punctuation 101
 
3.3%
Dash Punctuation 18
 
0.6%
Uppercase Letter 7
 
0.2%
Lowercase Letter 7
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 116
 
7.0%
거 115
 
6.9%
상 111
 
6.7%
동 108
 
6.5%
시 103
 
6.2%
경 99
 
6.0%
남 99
 
6.0%
도 99
 
6.0%
로 95
 
5.7%
층 83
 
5.0%
Other values (93) 628
37.9%
Decimal Number
ValueCountFrequency (%)
1 158
30.4%
2 84
16.2%
3 58
 
11.2%
0 49
 
9.4%
4 47
 
9.0%
5 38
 
7.3%
6 34
 
6.5%
8 23
 
4.4%
7 16
 
3.1%
9 13
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
p 1
14.3%
r 1
14.3%
v 1
14.3%
i 1
14.3%
o 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 114
99.1%
. 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
85.7%
A 1
 
14.3%
Space Separator
ValueCountFrequency (%)
538
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1656
54.0%
Common 1395
45.5%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 116
 
7.0%
거 115
 
6.9%
상 111
 
6.7%
동 108
 
6.5%
시 103
 
6.2%
경 99
 
6.0%
남 99
 
6.0%
도 99
 
6.0%
로 95
 
5.7%
층 83
 
5.0%
Other values (93) 628
37.9%
Common
ValueCountFrequency (%)
538
38.6%
1 158
 
11.3%
, 114
 
8.2%
) 101
 
7.2%
( 101
 
7.2%
2 84
 
6.0%
3 58
 
4.2%
0 49
 
3.5%
4 47
 
3.4%
5 38
 
2.7%
Other values (7) 107
 
7.7%
Latin
ValueCountFrequency (%)
B 6
42.9%
l 2
 
14.3%
A 1
 
7.1%
p 1
 
7.1%
r 1
 
7.1%
v 1
 
7.1%
i 1
 
7.1%
o 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1656
54.0%
ASCII 1409
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
538
38.2%
1 158
 
11.2%
, 114
 
8.1%
) 101
 
7.2%
( 101
 
7.2%
2 84
 
6.0%
3 58
 
4.1%
0 49
 
3.5%
4 47
 
3.3%
5 38
 
2.7%
Other values (15) 121
 
8.6%
Hangul
ValueCountFrequency (%)
제 116
 
7.0%
거 115
 
6.9%
상 111
 
6.7%
동 108
 
6.5%
시 103
 
6.2%
경 99
 
6.0%
남 99
 
6.0%
도 99
 
6.0%
로 95
 
5.7%
층 83
 
5.0%
Other values (93) 628
37.9%

영업소소재지(지번)
Text

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-11T09:56:28.903166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length36
Mean length23.95
Min length19

Characters and Unicode

Total characters2395
Distinct characters95
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)92.0%

Sample

1st row경상남도 거제시 고현동 1009-2번지
2nd row경상남도 거제시 장평동 346-25번지 (2층)
3rd row경상남도 거제시 고현동 961-25번지 동주빌딩 5층
4th row경상남도 거제시 옥포동 550-22번지
5th row경상남도 거제시 상동동 436-13번지
ValueCountFrequency (%)
경상남도 100
22.2%
거제시 100
22.2%
고현동 35
 
7.8%
옥포동 21
 
4.7%
장평동 11
 
2.4%
아주동 9
 
2.0%
2층 7
 
1.6%
능포동 7
 
1.6%
상동동 5
 
1.1%
수월동 5
 
1.1%
Other values (126) 150
33.3%
2023-12-11T09:56:29.250231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
446
18.6%
1 118
 
4.9%
상 106
 
4.4%
동 104
 
4.3%
지 104
 
4.3%
제 103
 
4.3%
시 103
 
4.3%
거 101
 
4.2%
번 100
 
4.2%
경 100
 
4.2%
Other values (85) 1010
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1324
55.3%
Decimal Number 506
 
21.1%
Space Separator 446
 
18.6%
Dash Punctuation 93
 
3.9%
Lowercase Letter 7
 
0.3%
Uppercase Letter 5
 
0.2%
Other Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 106
 
8.0%
동 104
 
7.9%
지 104
 
7.9%
제 103
 
7.8%
시 103
 
7.8%
거 101
 
7.6%
번 100
 
7.6%
경 100
 
7.6%
도 100
 
7.6%
남 100
 
7.6%
Other values (62) 303
22.9%
Decimal Number
ValueCountFrequency (%)
1 118
23.3%
6 56
11.1%
2 53
10.5%
3 48
9.5%
5 47
 
9.3%
9 42
 
8.3%
0 40
 
7.9%
7 39
 
7.7%
4 35
 
6.9%
8 28
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
i 1
14.3%
v 1
14.3%
r 1
14.3%
o 1
14.3%
p 1
14.3%
Space Separator
ValueCountFrequency (%)
446
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1324
55.3%
Common 1059
44.2%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 106
 
8.0%
동 104
 
7.9%
지 104
 
7.9%
제 103
 
7.8%
시 103
 
7.8%
거 101
 
7.6%
번 100
 
7.6%
경 100
 
7.6%
도 100
 
7.6%
남 100
 
7.6%
Other values (62) 303
22.9%
Common
ValueCountFrequency (%)
446
42.1%
1 118
 
11.1%
- 93
 
8.8%
6 56
 
5.3%
2 53
 
5.0%
3 48
 
4.5%
5 47
 
4.4%
9 42
 
4.0%
0 40
 
3.8%
7 39
 
3.7%
Other values (6) 77
 
7.3%
Latin
ValueCountFrequency (%)
B 5
41.7%
l 2
 
16.7%
i 1
 
8.3%
v 1
 
8.3%
r 1
 
8.3%
o 1
 
8.3%
p 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1324
55.3%
ASCII 1071
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
446
41.6%
1 118
 
11.0%
- 93
 
8.7%
6 56
 
5.2%
2 53
 
4.9%
3 48
 
4.5%
5 47
 
4.4%
9 42
 
3.9%
0 40
 
3.7%
7 39
 
3.6%
Other values (13) 89
 
8.3%
Hangul
ValueCountFrequency (%)
상 106
 
8.0%
동 104
 
7.9%
지 104
 
7.9%
제 103
 
7.8%
시 103
 
7.8%
거 101
 
7.6%
번 100
 
7.6%
경 100
 
7.6%
도 100
 
7.6%
남 100
 
7.6%
Other values (62) 303
22.9%

경도
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)89.3%
Missing25
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean128.65811
Minimum128.47795
Maximum128.73298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T09:56:29.367165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47795
5-th percentile128.6101
Q1128.62372
median128.64091
Q3128.69349
95-th percentile128.73205
Maximum128.73298
Range0.2550269
Interquartile range (IQR)0.0697615

Descriptive statistics

Standard deviation0.047724585
Coefficient of variation (CV)0.00037094113
Kurtosis1.0249565
Mean128.65811
Median Absolute Deviation (MAD)0.0362852
Skewness-0.41049445
Sum9649.3583
Variance0.002277636
MonotonicityNot monotonic
2023-12-11T09:56:29.496857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6246535 2
 
2.0%
128.6247039 2
 
2.0%
128.6913196 2
 
2.0%
128.6899314 2
 
2.0%
128.7320492 2
 
2.0%
128.6248056 2
 
2.0%
128.6935341 2
 
2.0%
128.7307819 2
 
2.0%
128.6945985 1
 
1.0%
128.693609 1
 
1.0%
Other values (57) 57
57.0%
(Missing) 25
25.0%
ValueCountFrequency (%)
128.4779532 1
1.0%
128.5886516 1
1.0%
128.6046261 1
1.0%
128.6082569 1
1.0%
128.6108935 1
1.0%
128.6111214 1
1.0%
128.6114765 1
1.0%
128.6131302 1
1.0%
128.6135091 1
1.0%
128.6144712 1
1.0%
ValueCountFrequency (%)
128.7329801 1
1.0%
128.7322261 1
1.0%
128.7321496 1
1.0%
128.7320492 2
2.0%
128.7317506 1
1.0%
128.7307819 2
2.0%
128.7269272 1
1.0%
128.7250552 1
1.0%
128.7033934 1
1.0%
128.702258 1
1.0%

위도
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)89.3%
Missing25
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean34.883735
Minimum34.831273
Maximum34.897882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T09:56:29.615020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.831273
5-th percentile34.866533
Q134.876488
median34.889172
Q334.89192
95-th percentile34.895711
Maximum34.897882
Range0.06660905
Interquartile range (IQR)0.0154322

Descriptive statistics

Standard deviation0.01271443
Coefficient of variation (CV)0.00036448018
Kurtosis4.0635906
Mean34.883735
Median Absolute Deviation (MAD)0.00411536
Skewness-1.841785
Sum2616.2802
Variance0.00016165674
MonotonicityNot monotonic
2023-12-11T09:56:29.741663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.8899927 2
 
2.0%
34.88930397 2
 
2.0%
34.88977189 2
 
2.0%
34.89693918 2
 
2.0%
34.87648773 2
 
2.0%
34.88374547 2
 
2.0%
34.89430585 2
 
2.0%
34.87460419 2
 
2.0%
34.86687424 1
 
1.0%
34.89123533 1
 
1.0%
Other values (57) 57
57.0%
(Missing) 25
25.0%
ValueCountFrequency (%)
34.83127305 1
1.0%
34.84355649 1
1.0%
34.84829227 1
1.0%
34.8664737 1
1.0%
34.86655885 1
1.0%
34.86657833 1
1.0%
34.86682324 1
1.0%
34.86687424 1
1.0%
34.86715287 1
1.0%
34.86728309 1
1.0%
ValueCountFrequency (%)
34.8978821 1
1.0%
34.89693918 2
2.0%
34.89601763 1
1.0%
34.89557895 1
1.0%
34.89430585 2
2.0%
34.89364269 1
1.0%
34.89354905 1
1.0%
34.8934549 1
1.0%
34.89336792 1
1.0%
34.89328709 1
1.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2020-05-04 00:00:00
Maximum2020-05-04 00:00:00
2023-12-11T09:56:29.835303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:29.914445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:56:25.906943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:25.484705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:25.698061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:25.975446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:25.553610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:25.768354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:26.047884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:25.625620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:25.829969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:56:29.982639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명등록(신고)일자상호영업소소재지(도로명)영업소소재지(지번)경도위도
연번1.0000.8791.0000.9391.0000.7260.0000.000
업종명0.8791.0001.0001.0001.0000.0000.0000.000
등록(신고)일자1.0001.0001.0000.9931.0000.9840.9820.840
상호0.9391.0000.9931.0001.0000.9841.0001.000
영업소소재지(도로명)1.0001.0001.0001.0001.0001.0001.0001.000
영업소소재지(지번)0.7260.0000.9840.9841.0001.0001.0000.982
경도0.0000.0000.9821.0001.0001.0001.0000.744
위도0.0000.0000.8401.0001.0000.9820.7441.000
2023-12-11T09:56:30.067715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번경도위도업종명
연번1.0000.047-0.1780.721
경도0.0471.000-0.2490.174
위도-0.178-0.2491.0000.000
업종명0.7210.1740.0001.000

Missing values

2023-12-11T09:56:26.168158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:56:26.275552image/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.
2023-12-11T09:56:26.401019image/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

연번업종명등록(신고)일자상호영업소소재지(도로명)영업소소재지(지번)경도위도데이터기준일자
01인터넷컴퓨터게임시설제공업2007-07-25블루넷 PC방경상남도 거제시 중곡로1길 36-5, 2층 (고현동)경상남도 거제시 고현동 1009-2번지128.62696234.8934552020-05-04
12인터넷컴퓨터게임시설제공업2007-09-17MX5경상남도 거제시 장평3로7길 31 (장평동,(2층))경상남도 거제시 장평동 346-25번지 (2층)128.60462634.8927122020-05-04
23인터넷컴퓨터게임시설제공업2007-10-04메트로 PC방경상남도 거제시 거제중앙로 1913 (고현동,동주빌딩 5층)경상남도 거제시 고현동 961-25번지 동주빌딩 5층128.62261134.8889042020-05-04
34인터넷컴퓨터게임시설제공업2007-10-24짱pc방경상남도 거제시 옥포대첩로2길 48 (옥포동)경상남도 거제시 옥포동 550-22번지128.6913234.8897722020-05-04
45인터넷컴퓨터게임시설제공업2007-10-24피씨토랑 거제본점 2호점경상남도 거제시 거제중앙로 1766, 1층 (상동동)경상남도 거제시 상동동 436-13번지128.62972734.8769412020-05-04
56인터넷컴퓨터게임시설제공업2007-11-16스펀지 PC방경상남도 거제시 장평로 37 (장평동,장평종합상가 2층 278호)경상남도 거제시 장평동 56-1번지 장평종합상가 2층 278호128.6131334.8908562020-05-04
67인터넷컴퓨터게임시설제공업2007-12-21넷토피아 PC방경상남도 거제시 거제면 기성로 6, 1층경상남도 거제시 거제면 서정리 766-1번지128.58865234.8482922020-05-04
78인터넷컴퓨터게임시설제공업2008-02-04엔터PC방경상남도 거제시 능포로 146, 3층 309호 (능포동, 동림상가)경상남도 거제시 능포동 660-8번지128.73204934.8764882020-05-04
89인터넷컴퓨터게임시설제공업2008-03-13N-TER PC방경상남도 거제시 옥포로6길 35 (옥포동)경상남도 거제시 옥포동 603-2번지128.69552234.8925242020-05-04
910인터넷컴퓨터게임시설제공업2008-05-07해피로PC경상남도 거제시 옥포로 237-1, 2층 (옥포동)경상남도 거제시 옥포동 514-12번지128.69028734.8960182020-05-04
연번업종명등록(신고)일자상호영업소소재지(도로명)영업소소재지(지번)경도위도데이터기준일자
9091청소년게임제공업2019-07-10대성게임랜드경상남도 거제시 고현로11길 18, 회원프라자 1층 103,104.105,106,143,144호 (고현동)경상남도 거제시 고현동 961-59번지 회원프라자<NA><NA>2020-05-04
9192청소년게임제공업2019-07-24신게임랜드경상남도 거제시 장평1로1길 24-22, 2층 (장평동)경상남도 거제시 장평동 1202-1번지<NA><NA>2020-05-04
9293청소년게임제공업2019-09-20세븐게임랜드경상남도 거제시 서문로 80, 중앙빌딩 8층 802호 (고현동)경상남도 거제시 고현동 961-178번지 중앙빌딩<NA><NA>2020-05-04
9394청소년게임제공업2019-10-14벽산게임랜드경상남도 거제시 고현로10길 8, 102호 (고현동)경상남도 거제시 고현동 44-5번지128.61447134.886832020-05-04
9495청소년게임제공업2019-10-23화성침공경상남도 거제시 고현천로 10, 고현시외버스터미널 가동 1층 (고현동)경상남도 거제시 고현동 979-1번지 고현시외버스터미널<NA><NA>2020-05-04
9596청소년게임제공업2019-11-04바다게임랜드경상남도 거제시 옥포대첩로6길 38-1, 1층 (옥포동)경상남도 거제시 옥포동 410-5번지<NA><NA>2020-05-04
9697청소년게임제공업2020-01-16세븐게임랜드경상남도 거제시 옥포성안로 42, 지하층 (옥포동)경상남도 거제시 옥포동 174-1번지<NA><NA>2020-05-04
9798청소년게임제공업2020-01-20포세이돈게임랜드경상남도 거제시 계룡로2길 35, 2층 (상동동)경상남도 거제시 상동동 474-22번지<NA><NA>2020-05-04
9899청소년게임제공업2020-03-06피앤피(PNP)경상남도 거제시 고현로11길 13, 1층 (고현동)경상남도 거제시 고현동 961-164번지<NA><NA>2020-05-04
99100청소년게임제공업2020-04-10비비게임랜드경상남도 거제시 거제중앙로20길 9, 지층 103호 (고현동, 창조아파트)경상남도 거제시 고현동 37-35번지 창조아파트<NA><NA>2020-05-04